Sensing processing method and apparatus, terminal, and network-side device

Abstract

The present application relates to the technical field of communications, and discloses a sensing processing method and apparatus, a terminal, and a network-side device. The sensing processing method of the embodiments of the present application comprises: a first node performing a first sensing measurement on the basis of a first signal to obtain first information, the first information comprising second information and a first mapping relationship, the first mapping relationship being a mapping relationship between at least some content in the second information and at least one resource amongst first resources, and the first resources being configured for performing the first sensing measurement; the first information is used for determining at least one of sensing precoding and first parameter configuration information, and the first parameter configuration information is used for executing a target sensing service on the basis of the sensing precoding; and the first node is a sensing node receiving the first signal.

Description

Sensing processing methods, devices, terminals and network-side equipment

[0001] Cross-references to related applications

[0002] This application claims priority to Chinese Patent Application No. 202411637525.6, filed in China on November 15, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0003] This application belongs to the field of communication technology, specifically relating to a sensing processing method, apparatus, terminal, and network-side equipment. Background Technology

[0004] With the development of communication technology, passive object measurement and sensing can be performed in communication systems based on sensing signals or integrated sensing signals. Currently, during the sensing process, channel fading typically leads to a decrease in the sensing signal-to-noise ratio, resulting in poor sensing performance. Therefore, related technologies suffer from poor sensing performance. Summary of the Invention

[0005] This application provides a sensing processing method, apparatus, terminal, and network-side device that can solve the problem of poor sensing performance.

[0006] Firstly, a perception processing method is provided, including:

[0007] The first node performs a first sensing measurement based on a first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0008] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, the first parameter configuration information is used to execute target perception service based on the perception precoding; the first node is a perception node that receives the first signal.

[0009] Secondly, a perception processing method is provided, including:

[0010] The second node sends the first signal;

[0011] The second node receives first information obtained by the first node through a first sensing measurement based on the first signal;

[0012] The second node determines the perception precoding based on the first information;

[0013] The second node sends a second signal based on the perception precoding, and the second signal is used to execute the target perception service;

[0014] The first information includes second information and a first mapping relationship, wherein the first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource, and the first resource is used to perform the first sensing measurement; the first information is used to determine at least one of sensing precoding and first parameter configuration information, and the first parameter configuration information is used to perform the target sensing service based on the sensing precoding; the first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0015] Thirdly, a perception processing method is provided, including:

[0016] The second node sends the first signal;

[0017] The second node receives first information obtained by the first node through a first sensing measurement based on the first signal;

[0018] The second node determines the perception precoding based on the first information;

[0019] The second node sends a second signal based on the perception precoding, and the second signal is used to execute the target perception service;

[0020] The first information includes second information and a first mapping relationship, wherein the first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource, and the first resource is used to perform the first sensing measurement; the first information is used to determine at least one of sensing precoding and first parameter configuration information, and the first parameter configuration information is used to perform the target sensing service based on the sensing precoding; the first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0021] Fourthly, a sensing processing device is provided, comprising:

[0022] A first receiving module is configured to perform a first sensing measurement based on a first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0023] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, and the first parameter configuration information is used to execute target perception service based on the perception precoding.

[0024] Fifthly, a sensing processing device is provided, comprising:

[0025] The second transmitting module is used to transmit the first signal;

[0026] The second receiving module is used to receive first information obtained by the first node performing a first sensing measurement based on the first signal;

[0027] The first processing module is used to determine the perceptual precoding based on the first information;

[0028] The second transmitting module is further configured to transmit a second signal based on the perception precoding, the second signal being used to perform the target perception service;

[0029] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to perform the target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal.

[0030] Sixthly, a sensing processing device is provided, comprising:

[0031] The third receiving module is used to receive first information obtained from the first node by performing a first sensing measurement based on a first signal;

[0032] The third sending module is used to perform a third operation, which includes at least one of the following: sending the first information to the second node; determining first parameter configuration information based on the first information, wherein the first parameter configuration information is used to perform target perception service based on the perception precoding;

[0033] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0034] In a seventh aspect, a sensing processing apparatus is provided, the apparatus being configured to perform the steps of the method described in the first aspect, or to implement the steps of the method described in the second aspect, or to implement the steps of the method described in the third aspect.

[0035] Eighthly, a terminal is provided, the terminal including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the method as described in the first aspect, or implementing the steps of the method as described in the second aspect.

[0036] Ninthly, a terminal is provided, including a processor and a communication interface, wherein,

[0037] When the terminal is the first node, the communication interface is used to perform a first sensing measurement based on a first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0038] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, and the first parameter configuration information is used to execute target perception service based on the perception precoding.

[0039] When the terminal is a second node, the communication interface is used to send a first signal and receive first information obtained by the first node based on the first signal by performing a first sensing measurement.

[0040] Processor, configured to determine perceptual precoding based on the first information;

[0041] The communication interface is also used to send a second signal based on the perception precoding, the second signal being used to perform the target perception service;

[0042] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to perform the target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal.

[0043] In a tenth aspect, a network-side device is provided, the network-side device including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the method as described in the first aspect, or implementing the steps of the method as described in the second aspect, or implementing the steps of the method as described in the third aspect.

[0044] Eleventhly, a network-side device is provided, including a processor and a communication interface, wherein,

[0045] When the network-side device is the first node, the network interface is used to perform a first sensing measurement based on a first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0046] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, and the first parameter configuration information is used to execute target perception service based on the perception precoding.

[0047] When the network-side device is a second node, the network interface is used to send a first signal and receive first information obtained by the first node performing a first sensing measurement based on the first signal.

[0048] Processor, configured to determine perceptual precoding based on the first information;

[0049] The network interface is also used to send a second signal based on the perception precoding, the second signal being used to perform the target perception service;

[0050] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to perform the target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal.

[0051] When the network-side device is the target device, the network interface is used to receive first information from the first node obtained by performing a first sensing measurement based on a first signal; and to perform a third operation, the third operation including at least one of the following: sending the first information to the second node; and determining first parameter configuration information based on the first information, the first parameter configuration information being used to perform a target sensing service based on the sensing precoding.

[0052] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0053] In a twelfth aspect, a readable storage medium is provided, on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect.

[0054] In a thirteenth aspect, a wireless communication system is provided, comprising: a first node, a second node, and a target device, wherein the first node is configured to perform the steps of the method described in the first aspect, the second node is configured to perform the steps of the method described in the second aspect, or the target device is configured to perform the steps of the method described in the third aspect.

[0055] In a fourteenth aspect, a chip is provided, the chip including a processor and a communication interface coupled to the processor, the processor being configured to run a program or instructions to implement the method as described in the first aspect, or the method as described in the second aspect, or the steps of the method as described in the third aspect.

[0056] In a fifteenth aspect, a computer program / program product is provided, the computer program / program product being stored in a storage medium, the computer program / program product being executed by at least one processor to implement the steps of the method as described in the first aspect, or the steps of the method as described in the second aspect, or the steps of the method as described in the third aspect.

[0057] In this embodiment, a first node performs a first sensing measurement based on a first signal to obtain first information. This first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resources. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to execute a target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal. In this way, sensing precoding can be used to execute the target sensing service, thereby achieving MIMO sensing, fully utilizing the beam gain and multi-port gain of the MIMO system, and improving sensing performance. Attached Figure Description

[0058] Figure 1 is a block diagram of a wireless communication system applicable to an embodiment of this application;

[0059] Figure 2 is a schematic diagram of the sub-connection architecture in the HBF architecture;

[0060] Figure 3 is a schematic diagram of the fully connected architecture in the HBF architecture;

[0061] Figure 4 is a flowchart illustrating a sensing processing method provided in an embodiment of this application;

[0062] Figure 5 is an example diagram of path propagation in a sensing scenario provided by an embodiment of this application of the sensing processing method;

[0063] Figure 6 is a schematic diagram of the multipath response channel in the first dimension in a sensing processing method provided in an embodiment of this application;

[0064] Figure 7 is a schematic diagram of the division of multi-granularity sensing angle range in a sensing processing method provided in an embodiment of this application;

[0065] Figure 8 is a flowchart illustrating another sensing processing method provided in an embodiment of this application;

[0066] Figure 9 is a flowchart illustrating another sensing processing method provided in an embodiment of this application;

[0067] Figure 10 is a schematic diagram of the structure of a sensing processing device provided in an embodiment of this application;

[0068] Figure 11 is a schematic diagram of another sensing processing device provided in an embodiment of this application;

[0069] Figure 12 is a schematic diagram of another sensing processing device provided in an embodiment of this application;

[0070] Figure 13 is a schematic diagram of the structure of a communication device provided in an embodiment of this application;

[0071] Figure 14 is a schematic diagram of the structure of a terminal provided in an embodiment of this application;

[0072] Figure 15 is a schematic diagram of the structure of a network-side device provided in an embodiment of this application. Detailed Implementation

[0073] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, not limited in number; for example, the first object can be one or more. Furthermore, "or" in this application indicates at least one of the connected objects. For example, the scope of protection for "A or B" covers at least three scenarios: Scenario 1: including A but not B; Scenario 2: including B but not A; Scenario 3: including both A and B. In addition, the terms "A and / or B," "at least one of A and B," and "at least one of A or B" also cover at least the above three scenarios. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0074] The term "instruction" in this application can be either a direct instruction (or explicit instruction) or an indirect instruction (or implicit instruction). A direct instruction can be understood as one in which the sender explicitly informs the receiver of specific information, the operation to be performed, or the requested result, etc., in the instruction sent. An indirect instruction can be understood as one in which the receiver determines the corresponding information based on the instruction sent by the sender, or makes a judgment and determines the operation to be performed or the requested result, etc., based on the judgment result.

[0075] It is worth noting that the technologies described in this application are not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA), or other systems. The terms "system" and "network" in this application are often used interchangeably, and the described technologies can be used with the systems and radio technologies mentioned above, as well as with other systems and radio technologies. The following description describes New Radio (NR) systems for illustrative purposes, and the term NR is used in most of the following description; however, these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) radio systems. th Generation 6G communication system.

[0076] Figure 1 shows a block diagram of a wireless communication system applicable to an embodiment of this application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 can be a mobile phone, tablet computer, laptop computer, notebook computer, personal digital assistant (PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), augmented reality (AR), virtual reality (VR) device, robot, wearable device, flight vehicle, vehicle user equipment (VUE), shipboard equipment, pedestrian user equipment (PUE), smart home (home devices with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), game console, personal computer (PC), ATM, or self-service machine, etc. Wearable devices include: smartwatches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart chains, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among these, in-vehicle devices can also be referred to as in-vehicle terminals, in-vehicle controllers, in-vehicle modules, in-vehicle components, in-vehicle chips, or in-vehicle units, etc. It should be noted that the specific type of terminal 11 is not limited in this application embodiment. Network-side equipment 12 may include access network equipment or core network equipment, wherein access network equipment may also be referred to as Radio Access Network (RAN) equipment, radio access network function, or radio access network unit. Access network equipment may include base stations, Wireless Local Area Network (WLAN) access points (APs), or Wireless Fidelity (WiFi) nodes, etc.The term "base station" can be referred to as Node B (NB), Evolved Node B (eNB), Next Generation Node B (gNB), New Radio Node B (NR Node B), Access Point, Relay Base Station (RBS), Serving Base Station (SBS), Base Transceiver Station (BTS), Radio Base Station, Radio Transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B (HNB), Home Evolved Node B, Transmit / Receive Point (TRP), or any other suitable term in the relevant field, as long as the same technical effect is achieved. The term "base station" is not limited to any specific technical terminology. It should be noted that this application embodiment only uses a base station in an NR system as an example for description and does not limit the specific type of base station.

[0077] Core network equipment, also known as core network nodes, core network functions, or core network elements, includes, but is not limited to, at least one of the following: Mobility Management Entity (MME), Access and Mobility Management Function (AMF), Session Management Function (SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Server Discovery Function (EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home Subscriber Server (HSS), Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (or L-NEF), and Binding Support. The core network functions include: BSF (Block Network Function), Application Function (AF), Location Management Function (LMF), Gateway Mobile Location Centre (GMLC), and Network Data Analytics Function (NWDAF). It should be noted that this application embodiment only uses core network equipment in the NR system as an example and does not limit the specific type of core network equipment. If the name of the core network equipment mentioned in this application embodiment changes in subsequent protocol versions (e.g., 6G), it will still be within the scope of protection of this application.

[0078] Optionally, the core network equipment can be implemented by one or more functional modules in a single device, or by multiple devices working together; this application does not specifically limit this. It is understood that the aforementioned functional modules can be network elements in hardware devices, software functional modules running on dedicated hardware, or virtualized functional modules instantiated on a platform (e.g., a cloud platform).

[0079] For ease of understanding, the following describes some aspects of the embodiments of this application:

[0080] I. Communication and sensing integration, also known as communication and sensing integration.

[0081] Communication and radar sensors (C&S) have been developing in parallel, but with limited overlap. They share many commonalities in signal processing algorithms, equipment, and to some extent, system architecture. In recent years, traditional radar has been evolving towards more general wireless sensing. Wireless sensing broadly refers to retrieving information from received radio signals. For wireless sensing related to target location, dynamic parameters such as target signal reflection delay, angle of arrival, departure angle, and Doppler can be estimated using common signal processing methods. For sensing target physical characteristics, this can be achieved by measuring the inherent signal patterns of devices / objects / activities. These two sensing methods can be referred to as sensing parameter estimation and pattern recognition, respectively. In this sense, wireless sensing refers to more general sensing technologies and applications that utilize radio signals.

[0082] Integrated Sensing and Communication (ISAC) has the potential to integrate wireless sensing into mobile networks, referred to here as Perceptive Mobile Networks (PMNs). Perceptive Mobile Networks can simultaneously provide communication and wireless sensing services, and due to their wide broadband coverage and robust infrastructure, they promise to become a ubiquitous wireless sensing solution. Perceptive Mobile Networks can be widely applied to communication and sensing in transportation, communication, energy, precision agriculture, and security sectors. They can also provide complementary sensing capabilities to existing sensor networks, possess unique day / night operation capabilities, and can penetrate fog, foliage, and even solid objects.

[0083] In mobile communication networks, base stations (including one or more Transmission Reception Points (TRPs) on the base station) and User Equipment (UEs) (including one or more sub-arrays / panels on the UEs) can serve as sensing nodes participating in integrated sensing / communication services. Typical UEs include mobile terminals and portable tablets. By sending and receiving a first signal between nodes, sensing of a certain area or a specific target can be achieved. The first signal can be a signal that does not contain transmission information, such as relevant LTE / NR synchronization and reference signals, including synchronization signals and physical broadcast channel (PBCH block, SSB) signals, channel state information-reference signals (CSI-RS), demodulation reference signals (DMRS), sounding reference signals (SRS), positioning reference signals (PRS), phase tracking reference signals (PTRS), etc.; it can also be a single-frequency continuous wave commonly used in radar. The new signal can be a wave (CW), a frequency-modulated continuous wave (FMCW), or an ultra-wideband Gaussian pulse, etc.; it can also be a newly designed dedicated signal with good correlation characteristics and a low peak-to-average power ratio, or a newly designed integrated sensing signal that carries certain information and has good sensing performance. For example, the new signal is formed by splicing / combining / superimposing at least one dedicated sensing signal / reference signal and at least one communication signal in the time domain and / or frequency domain.

[0084] II. Beamspace Multiple-Input Multiple-Output (MIMO) Radar.

[0085] MIMO radar utilizes waveform diversity and virtual array characteristics to achieve higher detection / estimation resolution, a higher maximum number of identifiable targets, and better clutter suppression capabilities compared to phased array (PA) radar.

[0086] The principle of a MIMO radar virtual array is as follows. Consider a MIMO radar with a total of M transmitting antennas and N receiving antennas. Assume that the transmitted signals from each transmitting antenna are orthogonal, so each receiving antenna can distinguish M signals. Since the phase of the response signal is determined by the positions of the transmitting and receiving antennas, NM different phase response signals can be obtained, which are completely equivalent to the response signal obtained from a single array with NM antennas. Therefore, by reasonably setting the positions of the transmitting and / or receiving arrays, an array containing NM non-overlapping virtual antennas can be constructed using only N+M physical antennas. Because virtual arrays often form larger array apertures, better angular resolution can be achieved.

[0087] Furthermore, Beamspace MIMO radar, through its precoding design, can focus transmitted energy within a given angular range, thereby improving the signal-to-noise ratio (SNR) of the response signal and thus enhancing the estimation performance of the sensing. Specifically, this is achieved by designing the precoding matrix C to form K (K < M) beams for transmitting K orthogonal signals, ensuring uniform beam energy within a given angular region and minimizing energy outside that region.

[0088] The received data vector (i.e., equivalent channel vector) y of a bistatic Beamspace MIMO radar after matched filtering. beam (τ) is:

[0089] Where a(θ) and b(θ) are the steering vectors of the transmitting and receiving arrays, respectively, with dimensions of M×1 and N×1. l,1 ,θ l,2 These are the departure azimuth and arrival azimuth of the l-th path, respectively, α l The complex amplitude of the l-th radius; Let be the shaping matrix of the Beamspace MIMO radar, with dimensions M×K, where the k-th column vector is the shaping vector corresponding to the k-th beam. Here, E represents the noise vector after matched filtering, and E represents the total energy of the array's transmitted signal.

[0090] The design goal of the shaping matrix C is to form K beams for transmitting K orthogonal signals, such that the energy is uniform within a given angular region and the energy outside the given angular region is minimized. That is, to maximize:

[0091] Where A=∫ Θ a(θ)a H(t)dθ is a non-negative matrix. If the guiding vector a(θ) satisfies the Vandermonde structure, then:

[0092] Substituting into equation (2), we get

[0093] Considering constraints The above equation is equivalent to maximizing the numerator. Clearly, the optimal solution c1 that maximizes Γ1 is the eigenvector corresponding to the largest eigenvalue of matrix A. Obviously, c1 = c2 = ... = c K This is the optimal solution, but this case corresponds to using only one beam to transmit the signal. This means it degenerates into a phased array radar. Therefore, it is necessary to add constraints and ensure that c1≠c2≠...≠c K Then the optimal solution for C is the eigenvectors corresponding to the K largest eigenvalues ​​of A, that is: C=[u1,u2,...,u K (5)

[0094] in Let A be the eigenvectors corresponding to the K largest eigenvalues ​​of matrix A.

[0095] Optionally, Where Λ is a diagonal matrix whose diagonal lines are the eigenvalues ​​of A. For any θ∈Θ, the length of its projection into the column space of C is |C H a(θ)| is equal to its own length |a(θ)|. The beam power within θ∈Θ is: P(θ)=|C H a(θ)| 2 =a H (θ)R ψ a(θ) (6)

[0096] in, Let θ be the correlation matrix of the transmitted signal in the beam domain. This means the total power of the K beams is approximately uniformly distributed within θ. It should be noted that the beam power of any single signal from the K beams is not necessarily uniform within θ∈Θ.

[0097] It should be noted that the receiver has N receiving ports, each based on K orthogonal signals φ. k (t), k=1,2,...,K. Matched filtering of the received signal yields equation (1). Here, the K orthogonal signals are the pre-coded signals. In reality, the transmitted signals from each physical antenna have a certain correlation, thus determining φ. k After obtaining (t) and the precoding matrix C, the transmitted signals of each physical antenna can be determined, i.e. That is, the physical antenna transmits the signal ψ m (t), m=1,2,...,M and the precoding matrix C together constitute the transmitted signal of the Beamspace MIMO radar. According to equation (1), the received data vector length of the Beamspace MIMO radar is KN, which is smaller than the data vector length MN of the traditional MIMO radar. This means that the maximum virtual aperture that can be obtained is smaller. If K is not very small, this performance loss can be compensated by improving the SNR. In addition, according to equation (1), when the precoding matrix C is known at the receiver, the target departure angle θ is... l,1 It can be estimated by the receiving end.

[0098] III. Hybrid Digital-Analog Precoding.

[0099] Currently, the available frequency bands in mobile communication networks are decreasing, and the frequency bands being used are gradually shifting towards higher frequencies, such as the millimeter wave (mmWave) driven by 5G NR. These frequency bands have abundant available resources. However, higher frequencies mean greater transmission loss, so larger antenna arrays are usually used to form shaped beams with higher gain to overcome propagation loss and ensure system coverage. At the same time, considering factors such as hardware complexity, cost, and power consumption, the digital beamforming (DBF) method used in low-frequency bands cannot be adopted. Instead, a hybrid beamforming (HBF) method combining analog beams and digital ports is usually used, as shown in Figures 2 and 3. In the holographic beamforming (HBF) architecture, each antenna has an independent RF link channel, but multiple antennas share a single digital link channel. In contrast, with digital precoding, each antenna has an independent digital link channel. Figures 2 and 3 illustrate two common HBF architectures. Figure 2 shows a sub-connected architecture, where the array is divided into multiple sub-arrays, each connected to only one digital channel. Figure 3 shows a fully connected architecture, where each antenna is connected to all digital channels. The signals from the digital channels are superimposed on the RF link channels after passing through phase shifters. However, it should be noted that HBF architectures are not limited to these two. In HBF, the signal transmitted by each antenna is generally phase-shifted to form an analog beam, thus achieving analog beamforming. Due to device limitations, analog beamforming is generally performed across the entire bandwidth, unlike digital beamforming where each sub-band can be independently beamformed. Therefore, analog beams are multiplexed using time-division multiplexing.

[0100] Currently, NR's Channel State Information (CSI) measurement and feedback enable network-side devices to acquire communication channel information and determine communication precoding to achieve optimal communication performance. However, this process does not consider sensing performance and is unsuitable for precoding feedback in sensing applications. Furthermore, the criteria for determining optimal communication precoding differ from those for sensing, making direct application of communication precoding to wireless sensing impossible. Channel fading reduces the sensing signal-to-noise ratio (SNR) and degrades sensing performance. Sensing precoding can align the beam with the sensing target, sensing area, or the approximate direction of the target path, significantly improving the sensing SNR and enhancing sensing performance. Currently, the design of precoding codebooks and the measurement feedback process for MIMO sensing are not well-defined. This application proposes a sensing processing method for MIMO sensing.

[0101] The perception processing method provided in this application will be described in detail below with reference to the accompanying drawings and through some embodiments and application scenarios.

[0102] Referring to Figure 4, this application provides a perception processing method, as shown in Figure 4, the perception processing method includes:

[0103] Step 401: The first node performs a first sensing measurement based on the first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0104] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, the first parameter configuration information is used to execute target perception service based on the perception precoding; the first node is a perception node that receives the first signal.

[0105] In this embodiment of the application, the aforementioned first resource may be K1 resources configured for the target device or the second node, or a set of K1 resources configured for the target device or the second node, wherein K1 is greater than or equal to 2, and The first resource is associated with at least one continuous sensing angle range Θ. The sensing angle range Θ includes at least one sensing target or target path. It should be understood that, in some embodiments, the above-mentioned first mapping relationship can be reflected or indicated by reporting the corresponding resource identifier or resource set identifier in the first information.

[0106] Optionally, the aforementioned first resource may also be associated with at least one of the following:

[0107] Line-of-Sight (LOS) angular range;

[0108] Reference target angle range;

[0109] Receiver (Rx) location area;

[0110] Reference target location area;

[0111] The union of the perceived angle range and the reference target angle range;

[0112] The union of the perceived angle range and the Rx angle range.

[0113] Optionally, the aforementioned reference target can be a passive or semi-passive backscattering device, such as a backscattering device, a low-power backscattering tag, or a reconfigurable intelligent surface (RIS) device, or a physical reflector with known location coordinates or known reflection characteristics.

[0114] Optionally, if the angle range of the sensing target, reference target, or LOS is known to the transmitter (Tx), it can be notified to Rx, or notified in the form of a codebook search range / subset, which can be a first codebook search range, a second codebook search range, or the union of the two.

[0115] Optionally, the first node performing a first sensing measurement based on the first signal to obtain the first information can be understood as: the first node receiving the first signal, obtaining the measurement result of the first signal, and determining the first information based on the measurement result of the first signal.

[0116] Optionally, the above-described perceptual precoding can be understood or replaced by a perceptual precoding matrix or perceptual precoding vector. Perceptual precoding can be constructed from Discrete Fourier Transform (DFT) vectors or linear combinations of DFT vectors, including... There exists at least one linear combination of DFT vectors and at least one DFT vector in each precoding vector. In the above case, the reporting of perceptual precoding can use the Precoding Matrix Indicator (PMI) feedback mechanism of NR; however, perceptual precoding is not limited to this form, for example, different elements of different precoding vectors in perceptual precoding can be zero.

[0117] Alternatively, a one-dimensional DFT vector can be represented as or Where m is the index of the DFT vector, and N is the number of elements in a DFT vector. An oversampled one-dimensional DFT vector can be represented as... or Where O represents the oversampling rate.

[0118] Alternatively, a two-dimensional DFT vector can be represented as in Let d1 and d2 represent the Kronecker product, where d1 and d2 are both one-dimensional DFT vectors, and their dimensions can be different; while for an oversampled two-dimensional DFT vector, it can be represented as... Where d1 and d2 are both oversampled one-dimensional DFT vectors, and their dimensions can be different.

[0119] In this embodiment, a first node performs a first sensing measurement based on a first signal to obtain first information. This first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resources. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to execute a target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal. In this way, sensing precoding can be used to execute the target sensing service, thereby achieving MIMO sensing, fully utilizing the beam gain and multi-port gain of the MIMO system, and improving sensing performance.

[0120] Optionally, in some embodiments, the method further includes:

[0121] The first node sends the first information to at least one of the target device and the second node, wherein the second node is the sensing node that sends the first signal.

[0122] Optionally, in one implementation, the second node can determine the perception precoding and the first parameter configuration information. In this case, the first node can send the first information only to the second node, or the first node can send the first information only to the target device, and then the target device forwards the first information to the second node.

[0123] Alternatively, in one implementation, the second node may determine the perception precoding, and the target device may determine the first parameter configuration information. In this case, the first node may send the first information to both the second node and the target device simultaneously, or the first node may send the first information only to the target device, and then the target device may forward the first information to the second node.

[0124] Optionally, in some embodiments, the method further includes:

[0125] The first node performs a first operation, which includes at least one of the following:

[0126] The perception precoding is determined based on the first information;

[0127] The first parameter configuration information is determined based on the first information, or the first parameter configuration information is received from the target device.

[0128] In this embodiment, when the first node and the second node are the same device, the first node can further determine the perception precoding based on the first information. Further, the first parameter configuration information can be determined by the first node or by the target device. For example, if the first device determines the first parameter configuration information, the first operation includes determining the first parameter configuration information based on the first information. If the target device determines the first parameter configuration information, the first operation includes receiving the first parameter configuration information from the target device. In this case, the first node needs to send first information to the target device, and the target device determines the first parameter configuration information based on the received first information, and then sends the first parameter configuration information to the first node.

[0129] Optionally, in some embodiments, determining the perceptual precoding based on the first information includes:

[0130] Based on the second information in the first information, the feature vectors corresponding to the T feature values ​​of the first matrix are determined. The second information includes the first matrix or the index of the first matrix. The first matrix is ​​calculated and determined according to the range of perception angles. T is a positive integer.

[0131] Based on the feature vector, the perceptual precoding is determined.

[0132] In this embodiment, the aforementioned T feature values ​​can be the first T feature values ​​of the first matrix arranged in descending order. Optionally, T can be an integer less than or equal to K2. K2 is the amount of resources configured by the target device for the first node, which are used to execute target perception services based on perception precoding. In the following embodiments, T equal to K2 can be used as an example for illustration.

[0133] Optionally, the content of the second information can be set according to actual needs. For example, in some embodiments, the second information includes at least one of the following:

[0134] Index of perceptual precoding;

[0135] Quantization coefficient index of linear combinations of perceptual precoding;

[0136] First angle information, which is used to represent the sensing angle range;

[0137] The first matrix or the index of the first matrix, wherein the first matrix is ​​calculated and determined based on the range of perception angles;

[0138] The second matrix or the index of the second matrix, wherein the second matrix is ​​part of the perceptual precoding;

[0139] Parameter measurements of the target diameter;

[0140] The target path includes at least one of the following: a multipath passing through the sensing target, a multipath passing through the first reflector, and a direct path between the first node and the second node; wherein the first reflector is a static reflector in the environment.

[0141] Optionally, the above-mentioned perceptual precoding can be used To indicate, among which For sensing, the number of pre-coded elements or beams is used, where M is the number of transmit antenna ports used for sensing. This satisfies: The perceptual precoding Any one of the following can be a DFT vector, or a linear combination of different orthogonal DFT vectors. After the first sensing measurement, the precoding information reported by the first node includes at least one of the following: the aforementioned orthogonal DFT vector or the index of the orthogonal DFT vector, the merging coefficient of the DFT vector or the index of the merging coefficient.

[0142] Optionally, for the first matrix mentioned above, assuming the guiding vector of the second node is a(θ), which is a unit vector, then the perception angle range Θ: θ∈[θ min ,θ max The first matrix corresponding to ] is In actual calculations, the first matrix can be based on We obtain, where θ n =θ min +nΔθ,n=1,2,...,N θ , and Δθ=(θ max -θ min ) / N θ For angular stepping, N θ The first matrix can be associated with one or more consecutive sensing angle ranges, for example, assuming there are L sensing angle ranges Θ. l The first matrix corresponding to the set l = 1, 2, ..., L can be based on the union Θ = Θ1∪Θ2∪...∪Θ L And A=∫ Θ a(θ)a(θ) H dθ is calculated; or, Θ is calculated separately. l The first matrix A corresponding to l = 1, 2, ..., L l,l=1,2,...,L,finally Where ρ is a coefficient.

[0143] The sensing angle may include at least one of the azimuth angle and the elevation angle of the transmitting array. For example, if the sensing angle is the azimuth angle, the sensing angle range is the azimuth angle range; if the sensing angle is the elevation angle, the sensing angle range is the elevation angle range; or, for example, if the sensing angle includes both the azimuth angle and the elevation angle, let the azimuth angle range be Θ1: θ1∈[θ 1,min ,θ 1,max Let the range of pitch angles be Θ2: θ2∈[θ 2,min ,θ 2,max The corresponding first matrix is:

[0144] In actual calculations, the first matrix can be based on We obtain, where θ 1,n =θ 1,min +nΔθ1,n=1,2,...,N 1,θ And Δθ1=(θ 1,max -θ 1,min ) / N 1,θ To move away from the azimuth angle step, N 1,θ θ is a pre-defined, relatively large positive integer. 2,n =θ 2,min +mΔθ2,m=1,2,...,N 2,θ And Δθ2=(θ 2,max -θ 2,min ) / N 2,θ To move away from the pitch angle step, N 2,θ It is a pre-defined, relatively large positive integer.

[0145] Optionally, the dimension of the second matrix can be K2×K2. The second matrix can be an Adamard matrix, a DFT matrix, or a matrix obtained by performing the Kronecker product of the two matrices mentioned above.

[0146] Optionally, the parameter measurements of the target path may include at least one of the following: complex amplitude (including amplitude and phase), power, time delay, departure azimuth, departure pitch, arrival azimuth, arrival pitch, Doppler frequency, and target specifications.

[0147] The target indicator refers to the perception-related indicator measured by the receiving device (such as a base station / UE), including at least one of the following three categories:

[0148] 1. Receiver power related indicators:

[0149] First metric (received power of the target path): The linear average (in W) of the received power of the target path in the resource unit carrying the first signal, obtained from the channel response measured for the first signal. The resource unit is a time-domain resource unit and / or a frequency-domain resource unit;

[0150] 2. Indicators related to interference and noise power:

[0151] The second metric is the sum of the linear average power of the paths other than the target path in the channel response of the first signal on the target resource, and the linear average power of the interference and noise from other signals other than the first signal on the target resource or other resources (e.g., resources configured for higher-layer signaling) (in W); where the target resource can be a time-frequency domain resource unit carrying the first signal.

[0152] The second indicator = total received power - the first indicator; where total received power can be expressed as: the linear average of the total received power on the target resource (including the received power of signals from the serving cell and non-serving cells, adjacent channel interference, and thermal noise, etc.) (in W); or, total received power = RSSI * K1, where K1 is a coefficient, and the measurement resource for Received Signal Strength Indication (RSSI) is the target resource or other resources (such as resources configured by higher-layer signaling);

[0153] The third indicator is the linear average value (in W) of the interference and noise power from signals other than the first signal on the target resource or other resources (such as resources configured by higher-level signaling); wherein, the target resource can be a time-frequency domain resource unit carrying the first signal.

[0154] The third indicator = total received power - first signal received power; where the first signal received power is the reference signal received power (RSRP) of the first signal.

[0155] The fourth metric is the linear average power (in W) of the power of all paths other than the target path in the channel response of the first signal on the target resource.

[0156] Fourth indicator = RSRP of the first signal - First indicator.

[0157] 3. Perception-related indicators:

[0158] Fifth indicator (first type of perception-related indicator) = First indicator / Second indicator;

[0159] The sixth indicator (the second type of perception-related indicator) = the first indicator / the third indicator;

[0160] The seventh indicator (the third type of perception-related indicator) = the first indicator / the fourth indicator;

[0161] The eighth metric (Reference Signal Received Quality, RSRQ) = K2 * First metric / Total received power, where K2 is a coefficient.

[0162] Among them, perception-related indicators can be understood as indicators related to the signal-to-interference plus-noise ratio (SINR), the signal-to-noise ratio (SNR), the perceived SIR, or the perceived RSRQ.

[0163] Optionally, the first indicator is calculated as follows:

[0164] The first node performs channel estimation based on the transmitted first signal X(k) and the corresponding received signal Y(k) to obtain the channel response H(k) = Y(k) / X(k), where k = 0, 1, 2, ..., K-1 represents the resource unit index. After obtaining the channel response H(k), the first node transforms it to the first dimension and determines the target path in the first dimension. Then, the power of the target path is calculated as the first index. If the target path includes multiple paths, the sum of the power of the multiple paths is calculated as the first index.

[0165] The first dimension includes one of the following:

[0166] Time delay dimension;

[0167] Dopplerweis;

[0168] Azimuth dimension;

[0169] Pitch angle;

[0170] The dimension must include at least two of the following: time delay dimension, Doppler dimension, azimuth dimension, and pitch dimension. For example, time delay-Doppler dimension, time delay-Doppler-angle dimension, etc.

[0171] For example, H(f) is the channel response, where f = 0, 1, 2, ..., N-1 represents the frequency domain sampling points (e.g., subcarrier index). Then, by performing an inverse Fourier transform on H(f), it can be transformed to the time delay dimension (the first dimension). As another example, H(f,t) is the channel response, where f = 0, 1, 2, ..., N-1 represents the frequency domain sampling points (e.g., subcarrier index), and t = 0, 1, 2, ..., M-1 represents the time domain sampling points (e.g., OFDM symbol index). Then, by performing an inverse Fourier transform along the frequency domain and a Fourier transform along the time domain, it can be transformed to the time delay dimension. The first dimension is the delay-Doppler dimension. For example, H(f,t,s) is the channel response, where f = 0,1,2,…,N-1 represents the frequency domain sampling points (e.g., subcarrier index), t = 0,1,2,…,M-1 represents the time domain sampling points (e.g., OFDM symbol index), and s = 0,1,2,…,P-1 represents the spatial domain sampling points (antenna index or port index). Then, by performing an inverse Fourier transform along the frequency domain dimension, a Fourier transform along the time domain dimension, and a Fourier transform along the antenna domain dimension on H(f,t,s), it can be transformed to the delay-Doppler-angle dimension (the first dimension).

[0172] Method for determining the target path in the channel response obtained from the first signal measurement:

[0173] Determine the first path set. The paths in the first path set include those whose amplitude / power / intensity / energy exceeds a certain threshold after the channel response is transformed to the first dimension. (For example, in Figure 6, paths 0, 1, 2, and 3 are paths in the first path set). The certain threshold can be set to be higher than a noise threshold or higher than a noise interference threshold. This step (determining the first path set) is optional; it can be based solely on the next step to determine the target path. Figure 6 is a schematic diagram of multipaths in the first dimension of the response channel (the horizontal axis represents the first dimension, and the vertical axis represents the normalized amplitude / power / intensity / energy). The first dimension can be a time-domain dimension, a Doppler dimension, an azimuth dimension, or a pitch dimension.

[0174] Select a path that satisfies the first condition from the first set of paths or from all paths, and use it as the target path.

[0175] The first condition includes at least one of the following:

[0176] The amplitude / power / intensity / energy of the path exceeds a preset threshold or falls within a preset range; for example, the preset threshold is 6dB above the noise threshold.

[0177] The Doppler amplitude of the path exceeds the preset threshold or falls within the preset range;

[0178] The path delay exceeds a preset threshold or falls within a preset range;

[0179] The angle of the radius exceeds the preset threshold or falls within the preset range;

[0180] The difference in amplitude / power / intensity / energy between the first-reaching path (e.g., the LOS path) or the reference path (e.g., the signal path reflected by a known target (e.g., a reconfigurable intelligent surface (RIS) / backscatter device / other known passive target, etc.)) exceeds a preset threshold or falls within a preset range.

[0181] The Doppler difference between the path and the first path (e.g., the LOS path) or the reference path (e.g., the signal path reflected by a known target (e.g., RIS / Backscatter device / other known passive targets, etc.)) exceeds a preset threshold or is within a preset range;

[0182] The time delay difference between the path and the first path (e.g., the LOS path) or the reference path (e.g., the signal path reflected by a known target (e.g., RIS / Backscatter device / other known passive targets, etc.)) exceeds a preset threshold or is within a preset range;

[0183] The angle difference between the path and the first path (e.g., the LOS path) or the reference path (e.g., the signal path reflected by a known target (e.g., RIS / Backscatter device / other known passive targets)) exceeds a preset threshold or is within a preset range;

[0184] The amplitude / power / intensity / energy or phase of the path satisfies a specific modulation rule, which is the modulation rule of the Tag / Backscatter device / RIS, that is, the target path can be a path that has been modulated and reflected by the Tag / Backscatter device / RIS.

[0185] It should be understood that the first condition of each of the above items can also be based on the results of statistics over a period of time; for example, the proportion of the above indicators (such as Doppler of the path, time delay of the path, etc.) exceeding the preset threshold or falling within the preset range within the preset time window reaches the preset proportion, or the number of times the above indicators (such as Doppler of the path, time delay of the path, etc.) exceed the preset threshold or fall within the preset range within the preset time window reaches the preset number.

[0186] The preset threshold or set range is sent to the receiving device by other devices, and determined by those other devices based on prior sensing information or sensing requirements. Alternatively, the preset threshold or set range is determined by the receiving device based on prior sensing information or sensing requirements.

[0187] Among them, prior information for perception or perception needs includes the following information:

[0188] Sensing services or sensing service types, such as detecting the presence of a target, positioning, velocity detection, distance detection, angle detection, acceleration detection, material analysis, composition analysis, shape detection, category classification, and radar cross section (RCS). The sensing services include: Section (RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip reading, gait recognition, facial expression recognition, respiration monitoring, heart rate monitoring, pulse monitoring, humidity / brightness / temperature / atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environmental reconstruction, terrain and landform, building / vegetation distribution detection, pedestrian or vehicle flow detection, crowd density, vehicle density detection, etc. The sensing service types can be classified according to certain characteristics, such as by function (detection-type sensing services, including intrusion detection and fall detection), parameter estimation-type sensing services (distance, angle, and speed calculation), and recognition-type sensing services (action recognition, identity recognition), etc. They can also be classified by sensing range (near-range sensing, medium-range sensing, and long-range sensing), by sensing fineness (coarse-grained sensing, fine-grained sensing, etc.), by power consumption / energy consumption, and by resource usage, etc. If the sensing service is respiratory monitoring, the corresponding normal respiratory rate can be determined based on the person's gender and age (e.g., male: 13-21 breaths / minute, female: 15-20 breaths / minute; adult: 12-20 breaths / minute, child: approximately 30-40 breaths / minute), which can be used as prior information for sensing.

[0189] Target area for perception: refers to the location area of ​​the perceived object, or the location area that needs to be imaged or reconstructed; for example, a preset range of time delay for determining the target path based on the approximate location / distance of the perceived object.

[0190] Sensing object type: Sensing objects are classified according to their possible motion characteristics. Each sensing object type contains information such as the typical motion velocity range, motion acceleration range, and typical RCS range of the sensing object.

[0191] The number of targets perceived; for example, the camera's perception results, as a kind of prior information, can be used to determine the number of targets perceived.

[0192] For example, in Figure 6, paths 0, 1, 2, and 3 are paths in the first path set, where paths 2 and 3 are sensing paths that satisfy the first condition (e.g., their time delay meets a preset threshold), and paths 0 and 1 are paths associated with other scatterers.

[0193] For frequency range 1, the reference point for the first indicator can be the antenna connector of the first node (such as a terminal). For frequency range 1, if the receiving device has multiple receiving channels, the first indicator measured and reported by the receiving device cannot be lower than the indicator of any single receiving channel. For frequency range 2, the first indicator measured by a certain receiving channel needs to be obtained by measuring the combined signal on multiple antenna elements corresponding to that receiving channel.

[0194] Calculation method 2 for the first indicator (optional):

[0195] Optionally, when calculating the received power of the target path, it can also be the power of the target path in the first dimension combined with... The difference is used as the first indicator, where N1 represents the number of target paths. It represents the average power of multiple paths outside the first path set in the first dimension.

[0196] Calculation method for total received power: Total received power

[0197] The calculation method for the second indicator:

[0198] The channel response H(k) is processed by the first filter to obtain H. filter1 (k), then according to H filter1 The received signal Y after the first filtering process is calculated from (k) and the first signal X(k). filter1 (k), i.e., Y filter1 (k)=H filter1 (k)X(k). Then subtract the received signal Y(k) after the first filtering process from the received signal Y(k). filter1 (k) thus obtaining the interference and noise signal Y σ1 (k), i.e., Y σ1 (k)=Y(k)-Y filter1 (k), and then calculate the second index.

[0199] The first filtering process is used to eliminate noise and interference in the first dimension, as well as non-target paths. For example, the first filtering process sets the amplitude / power / intensity / energy of paths other than the target path in Figure 5 to zero. The channel response H after the first filtering process is shown below. filter1 (k) excludes noise, interference, and non-target paths, and only includes the target path. In Figure 5, a partial path is shown as an example including two reflectors 51.

[0200] The calculation method for the third indicator:

[0201] The channel response H(k) is processed by a second filter to obtain H. filter2 (k), then according to H filter2 The received signal Y after the second filtering process is calculated from the first signal X(k) and the first signal X(k). filter2 (k), i.e., Y filter2 (k)=H filter2 (k)X(k). Then subtract the received signal Y(k) after the second filtering process from the received signal Y(k). filter2 (k) thus obtaining the interference and noise signal Y σ2 (k), i.e., Y σ2 (k)=Y(k)-Y filter2 (k), and then calculate the third index.

[0202] The second filtering process can be noise interference suppression processing on the first dimension (e.g., setting the amplitude / power / intensity / energy of other paths besides the first path set in Figure 6 to zero), or MMSE filtering. The channel response H after the second filtering process... filter2 (k) does not contain noise and interference, but only contains paths from the first path set.

[0203] The third indicator can be calculated in two ways (optional):

[0204] Based on the average power of multiple paths outside the first path set in the first dimension The third index P was calculated. σ2 ,Right now Where N represents the number of sampling points in the first dimension.

[0205] Alternatively, if the receiving device identifies multiple sensing targets, or if the receiving device obtains the number of sensing targets based on prior sensing information or sensing requirements, the following methods are available:

[0206] Method 1: Calculate the target index for each sensing target separately. For example, in Figure 6, determine the path associated with each sensing target, and then calculate the target index corresponding to each sensing target. When calculating the second index for a certain sensing target (such as sensing target A), there are two methods: namely, the second index of sensing target A = total received power - the first index of sensing target A; or, the second index of sensing target A = total received power - the first index of sensing target A - the first index of sensing target B; (assuming there are two sensing targets: A and B). Similarly, there are two ways to calculate the fourth index: the fourth index of sensing target A = the RSRP of the first signal - the first index of sensing target A; or, the fourth index of sensing target A = the RSRP of the first signal - the first index of sensing target A - the first index of sensing target B; (assuming there are two sensing targets: A and B).

[0207] Method 2: Calculate a target index for multiple sensing targets. For example, in Figure 6, determine the paths associated with any sensing target, and then treat all these paths as paths to the target; this is equivalent to treating multiple sensing targets as a virtual sensing target, and then calculating the target index corresponding to this virtual sensing target.

[0208] Optionally, in some embodiments, the target path described above includes at least one of the following:

[0209] The first target path is a path that passes through the second node, the perceived target, and the first node in sequence.

[0210] The second target path is a path that passes through the second node, the environmental reflector, the sensing target, and the first node in sequence.

[0211] The third target path is a path that passes through the second node, the sensing target, the environmental reflector, and the first node in sequence.

[0212] The fourth target path is a path that passes through the second node, the environmental reflector, the sensing target, the environmental reflector, and the first node in sequence.

[0213] The fifth target path includes the direct path from the second node to the first node, and the path passing through the second node, the environmental reflector, and the first node in sequence;

[0214] The second node is the transmitting sensing node for the sensing signal, and the first node is the receiving sensing node for the sensing signal.

[0215] The first target path can be understood as the path from the second node to the perceived target and then back to the first node, without passing through the environmental reflector; the second target path can be understood as the path from the second node to the environmental reflector, then back to the perceived target, and then back to the first node; the third target path can be understood as the path from the second node to the perceived target, then back to the environmental reflector, and then back to the first node; the fourth target path can be understood as the path from the second node to the environmental reflector, then back to the perceived target, then back to the environmental reflector, and then back to the first node; the fifth target path can be understood as including the direct path from the second node to the first node, and the path from the second node to the environmental reflector and then back to the first node.

[0216] It should be noted that the term "path" in this application can be understood or replaced with "multipath," "path," or "ray." Specifically, the "path" refers to a signal propagation path, which can also be called a sub-path.

[0217] Optionally, as shown in Figure 5, the first target path can be understood as the path OAP; the second target path can be understood as the path OBAP; the third target path can be understood as the path OACP; the fourth target path can be understood as the path OBACP; the direct path from the second node to the first node in the fifth target path can be understood as the path OP; and the path from the second node to the environmental reflector and then to the first node in the fifth target path can be understood as the path OBP and ODEP.

[0218] Among the aforementioned paths, those associated with the sensing target include the first target path, the second target path, the third target path, and the fourth target path, which can provide the sensing receiving node (i.e., the first node) with sensing target information from different observation perspectives. When the first node has prior information about the environmental reflectors (e.g., reflection coefficient, position, distance, relative angle, etc.), or can simultaneously determine the aforementioned information of the environmental reflectors during measurement, it can obtain superior sensing performance compared to using only the first target path by additionally utilizing any one of the second to fourth target paths, in addition to the first target path. This includes improved sensing SNR / SINR, improved detection performance, improved sensing accuracy, and acquisition of more comprehensive sensing information.

[0219] Paths not directly related to the sensing target, i.e., the fifth target path, are generally considered as self-interference and background clutter. However, if some prior sensing information is known, such as the second and first nodes, or the position coordinates and state (including whether it is stationary or in motion, i.e., velocity magnitude and direction) of environmental reflectors, the fifth target path can be used to eliminate non-ideal factors between the second and first nodes, such as carrier frequency offset, timing offset, sampling frequency offset, random phase, etc. Furthermore, through sensing measurements, the second node determines the state of the environmental reflectors based on these paths. This measurement information can be further used to subsequently determine the sensing target information, or to determine the second to fourth target path information. The environmental reflector can be a whole composed of one or more physical objects in the environment.

[0220] It should be noted that the index of the perceptual precoding, the index of the quantization coefficient, the first angle information, the first matrix, the index of the first matrix, the second matrix, and the index of the second matrix included in the second information above can be understood as the content recommended by the first node, used to determine or assist in determining the perceptual precoding and the first parameter configuration information.

[0221] Optionally, the target device or the second node can determine the sensing precoding through the first matrix. Therefore, after performing the first sensing measurement, the first node can also choose to report any of the following: (a) the first matrix A; (b) the eigenvector matrix and eigenvalues ​​of A; (c) the index of the first matrix A; (d) the index of the eigenvector matrix and the eigenvalue index of the first matrix A; (e) angular range information used to calculate A, including θ. min θ max , Δθ, N θ Any three or more of them.

[0222] Furthermore, the target device or the second node needs to indicate the angle definition method to the first node, including reference coordinate system information. The indicated angle definition method can be understood as how the angle is defined. First, a unified reference coordinate system must be established. For example, a commonly used coordinate system is one where the x-axis is parallel to the normal emission direction of the sensing node's antenna array, the y-axis and z-axis are parallel to the antenna panel, and the z-axis points towards the North Pole. The angle is defined as the angle between the first signal and the x-axis, with a positive angle when viewed counterclockwise from the z-axis and a negative angle in the opposite direction. When the second node is a planar or linear array, the maximum unambiguous azimuth angle estimation range is -90° to 90°.

[0223] Optionally, the second matrix Q is used to determine the sensing precoding. The sensing precoding can be determined jointly by the initial sensing precoding C0 and the second matrix Q. The second matrix Q is applied by right-multiplying the initial precoding C0 to obtain the final precoding used to transmit the sensing signal, i.e., C = C0Q. The purpose of the second matrix Q is to ensure that the power of the K2 beams formed after the second node performs sensing precoding remains as constant as possible within the corresponding sensing angle range Θ. It should be noted that there is a case where the initial precoding C0 is the final sensing precoding matrix, i.e., C = C0. In this case, the first node only reports C and does not report Q.

[0224] Optionally, when reporting the parameter measurement values ​​of the target path, the first node may also report a target path type indication and the association between the parameter measurement values ​​of the target path and the target path type. The target path type indication is used by the first node to notify the target device which type or groups of target paths (first to fifth) it is measuring. For example, it can be indicated using a bitmap, i.e., using a 5-bit binary sequence to indicate the type of target path measured and reported by the first node. For example, "10000" indicates that the first node is measuring the first target path and reporting the associated parameter measurement values, and that no information related to the second to fifth target paths is measured or reported; another example is "01101," which indicates that the first node is measuring the second, third, and fifth target paths and reporting the parameter measurement values ​​associated with at least one of them, and that no information related to the first and fourth target paths is measured or reported.

[0225] Optionally, the target device can be a core network device or a device in the core network, such as an Access and Mobility Management Function (AMF), a Sensing Function (SF), a communication application server in the core network, and a sensing application server in the core network.

[0226] Optionally, in some embodiments, the method further includes:

[0227] The first node determines at least one of the index of the perceptual precoding and the index of the quantization coefficients of the linear combination of the perceptual precoding based on the first matrix.

[0228] Optionally, in some embodiments, the first parameter configuration information includes at least one of the following:

[0229] The parameter configuration information of the second resource, which is used to execute the target perception service;

[0230] Parameter configuration information of the antenna port used to perform the target sensing service;

[0231] The parameter configuration information of the second signal, which is used to execute the target perception service;

[0232] The first indication information is used to indicate the sensing measurement quantity that the first node needs to acquire, or to indicate the sensing measurement quantity that the first node needs to acquire and the tag information corresponding to the sensing measurement quantity.

[0233] Target perception precoding information, wherein the target perception precoding information is used to indicate the perception precoding;

[0234] The second mapping relationship is a mapping relationship between at least a portion of the target-aware precoded information and at least one resource in the second resource.

[0235] In this embodiment of the application, the aforementioned second resource can be K2 resources configured for the target device or the second node, or a set of K2 resources configured for the target device or the second node, wherein K2 is greater than or equal to 2, and The second resource is associated with at least one continuous sensing angle range Θ. The sensing angle range Θ includes at least one sensing target or target path. Optionally, the second resource may also be associated with at least one of the following:

[0236] LOS angle range;

[0237] Reference target angle range;

[0238] Rx location area;

[0239] Reference target location area;

[0240] The union of the perceived angle range and the reference target angle range;

[0241] The union of the perceived angle range and the Rx angle range.

[0242] Optionally, in some embodiments, the parameter configuration information of the second resource includes at least: parameters for determining the frequency domain position of the K2 resources or resource set, and parameters for determining the time domain position of the K2 resources or resource set.

[0243] Optionally, in some embodiments, the parameter configuration information of the antenna port includes: an antenna port index and a mapping relationship between the antenna port index and the second resource;

[0244] Alternatively, the parameter configuration information of the second signal includes a first target parameter and a third mapping relationship, wherein the first target parameter is used to determine the sequence of the second signal, and the third mapping relationship is the mapping relationship between the sequence of the second signal and the second resource;

[0245] Alternatively, the target perception precoding information may include at least one of the following: an index of the perception precoding; an index of the quantization coefficients of a linear combination of perception precoding; first angle information, which is used to represent a perception angle range; a first matrix or an index of a first matrix, which is calculated and determined based on the perception angle range; a second matrix or an index of a second matrix, which is a part of the perception precoding; and a parameter measurement value of the target path.

[0246] Optionally, in some embodiments, the above-mentioned sensing measurement may include at least one of the following:

[0247] The first level of measurement (received signal / raw channel information) includes: the complex result of the received signal / channel response, amplitude / phase, I-channel / Q-channel and its operation results (operations include addition, subtraction, multiplication, division, matrix addition, subtraction, multiplication, matrix transpose, trigonometric operations, square root operations, and power operations, as well as threshold detection results and maximum / minimum value extraction results of the above operation results; operations also include Fast Fourier Transform (FFT) / Inverse Fast Fourier Transform (IFFT), Discrete Fourier Transform (DFT) / Inverse Discrete Fourier Transform (IDFT), 2D-FFT, 3D-FFT, matched filtering, autocorrelation operation, wavelet transform and digital filtering, as well as threshold detection results and maximum / minimum value extraction results of the above operation results).

[0248] The second level of measurement (basic measurement) includes: time delay, Doppler, angle, intensity, and their multidimensional combination representations;

[0249] The third level of measurement (basic attributes / states) includes: distance, velocity, orientation, spatial position, and acceleration;

[0250] The fourth level of measurement (advanced attributes / status) includes: target presence, trajectory, movement, expression, vital signs, quantity, imaging results, weather, air quality, shape, material, and composition;

[0251] The perception result can be a measurement value obtained by further calculation (including addition, subtraction, multiplication, division, or according to a predetermined function) of the aforementioned perception measurement value. Alternatively, the perception result can be a measurement value of at least one of the aforementioned perception measurement values.

[0252] Optionally, in some embodiments, the label information includes at least one of the following:

[0253] Sensing signal identification information;

[0254] Sensing measurement configuration identification information;

[0255] Sensing business information (such as sensing business ID);

[0256] Data subscription ID;

[0257] Applications of measurement (communication, sensing, synesthesia);

[0258] Time information (such as timestamps);

[0259] Sensing node information (such as UE ID, node location, device orientation);

[0260] Sensing link information (such as sensing link sequence number, transceiver node identifier);

[0261] Measurement description information (format, such as amplitude value, phase value, complex value combining amplitude and phase; resource type, such as time domain measurement result, frequency domain resource measurement result);

[0262] Measurement metrics (such as SNR, perceived SNR).

[0263] Optionally, in some embodiments, the method further includes:

[0264] The first node performs a second operation, the second operation including any one of the following: determining second parameter configuration information; receiving second parameter configuration information from the target device;

[0265] The second parameter configuration information is used to perform the first sensing measurement.

[0266] In this embodiment, before performing the first sensing measurement, the first node needs to obtain second parameter configuration information to perform the first sensing measurement based on the second parameter configuration information. Specifically, the second parameter configuration information can be determined by the first node or the target device. For example, the first node or the target device can determine the second parameter configuration information based on prior information. If the target device determines the second parameter configuration information, the target device can send the second parameter configuration information to the first node and the second node.

[0267] Optionally, in some embodiments, the second parameter configuration information includes at least one of the following:

[0268] The parameter configuration information of the first resource;

[0269] Parameter configuration information for the antenna port used for the first sensing measurement;

[0270] The parameter configuration information of the first signal;

[0271] The first instruction information is used to indicate the sensing measurement quantity that the first node needs to acquire and the label information corresponding to the sensing measurement quantity.

[0272] The reporting configuration information for the first sensing measurement.

[0273] Optionally, in some embodiments, the parameter configuration information of the first resource includes at least: parameters for determining the frequency domain position of the K1 resources or resource set, and parameters for determining the time domain position of the K1 resources or resource set.

[0274] Optionally, in some embodiments, the parameter configuration information of the antenna port includes: an antenna port index and a mapping relationship between the antenna port index and the first resource;

[0275] Alternatively, the parameter configuration information of the first signal includes parameters for determining the sequence of the first signal and the mapping relationship between the sequence of the first signal and the first resource;

[0276] Alternatively, the reported configuration information may include reported configurations related to perception precoding.

[0277] For example, in some embodiments, the reported configuration information may include at least one of the following: reported configuration information related to perceptual precoding, reported execution time information, frequency resources used for reporting, and channel indication information used for reporting.

[0278] Among them, the reporting configuration information related to perceptual precoding can be understood as the requirements for the reported codebook, including specifying the type of codebook to be reported (e.g., a codebook based on K1 or K2 DFT basis vectors, or a codebook based on a linear combination of multiple DFT basis vectors), the maximum number of beams, indicating whether to perform time delay domain compression, and indicating whether to perform Doppler domain codebook compression.

[0279] Reporting execution time information can be understood as time domain behavior information, which can include periodic reporting, semi-persistent reporting, aperiodic reporting, or triggered reporting.

[0280] Optionally, the first target parameter and the second target parameter may include at least one of the following: sequence type (e.g., m-sequence, Gold sequence, Zadofff-Chu (ZC) sequence, etc.), sequence length, initial value of the sequence shift register, sequence primitive polynomial, sequence truncation position, sequence root index, and sequence cyclic shift value.

[0281] Optionally, in some embodiments, the method further includes:

[0282] The first node sends a second signal based on the perception precoding.

[0283] In this embodiment, after the first node sends the second signal based on the perception precoding, it also receives the second signal to perform the target perception service and obtain the measurement value or measurement result of the perception measurement quantity. The first node can send the measurement value or measurement result of the perception measurement quantity to the target device. Optionally, the target device can send the measurement value or measurement result of the perception measurement quantity to the perception demand party, such as an external application server.

[0284] It should be noted that during the execution of the sensing service, the transmitting node of the first signal (such as the second node) can use an initial sensing precode C0 and one or more second matrices Q to generate multiple sensing precodes for transmitting the first signal. For example, different sensing precodes can be used on multiple transmitting symbols or transmitting time slots to ensure that the total beam power corresponding to different ports is approximately constant throughout the entire sensing service process, and that the total power between different beams is not significantly different.

[0285] For example, during the execution of a sensing service, the sensing precoding of the nth symbol or time slot can be C. n =C0Q n Q n This represents the product of n second matrices Q; for example, the precoding of the nth symbol or time slot can be C. n =C0Q n Q n The second matrix represents the nth symbol or time slot;

[0286] Therefore, when the sensing precoding matrix needs to be changed in a specified symbol or time slot during the sensing process, the first information fed back by the second node may contain more than one second matrix or more than one index of the second matrix. In addition, the first information may also include: the active symbol / time slot position of the second matrix corresponding to the more than one second matrix or the index of the more than one second matrix.

[0287] The target-aware precoding information may include: the function symbol / time slot position of the second matrix corresponding to the index of the second matrix or the second matrix of the second matrix greater than or equal to one.

[0288] Optionally, the perceptual precoding C is determined by a first perceptual measurement. The first node can obtain at least one of the following measurement parameters through the first perceptual measurement:

[0289] The azimuth angle of the target relative to the second node, or the range of azimuth angles.

[0290] The perceived target's departure angle relative to the second node, or the range of angles from the departure angle;

[0291] Parameter measurements of the target diameter;

[0292] The angular range of the sensing area relative to the second node's azimuth angle;

[0293] The range of the angle of departure of the sensing area from the second node.

[0294] The azimuth / pitch angle range of the sensing target relative to the second node can be an angular range covering multiple sensing targets; the azimuth / pitch angle range of the sensing area relative to the first node can be an angular range covering one or more sensing areas; the angular range is determined by the second node.

[0295] In some embodiments, a codebook scheme 1 for sensing precoding can be used. The following explanation will focus on the sensing angle range being the range of sensing angles away from the azimuth angle. Of course, in other embodiments, this can be extended to the range of sensing angles away from the pitch angle, or consider the cases of both the azimuth and pitch angles simultaneously. Specifically, taking the sensing angle range being the range of sensing angles away from the azimuth angle as an example, in codebook scheme 1 for sensing precoding, the optimal solution for sensing precoding C is the eigenvector corresponding to the largest K2 eigenvalues ​​of the first matrix A, and the first matrix A is closely related to the aforementioned measurement parameters. Therefore, the maximum range of sensing angles away from the azimuth angle of the second node (e.g., a network-side device) can be divided into X angle ranges, and a first matrix A can be calculated for each angle range. m m = 1, 2, ..., X, where each first matrix A m A corresponding index is provided; when the first node provides the first information, the first information can be the aforementioned first matrix A. m The second node determines A based on the corresponding index value. m When multiple angle ranges exist, the first node returns multiple index values, and the second node determines multiple A values ​​based on these index values. m If m ∈ P, and P is a subset of the set {1, 2, ..., X}, then the final first matrix is... Where ρ is a coefficient.

[0296] The method for dividing the maximum departure azimuth sensing angle range of the second node can be preset. The X angle ranges can be divided according to equal angle divisions or based on the 3dB beamwidth of the DFT beam. Optionally, the angle range division can be multi-layered or multi-granular. Specifically, taking equal angle division as an example, assuming the maximum departure azimuth sensing angle range of the second node is -60° to 60°, this maximum departure azimuth sensing angle range can be divided into X = 12 equal parts (each angle range is 10°), and each part corresponds to one A. i ,i=1,2,...,12; Furthermore, a smaller granularity of division can be considered, for example, dividing the maximum departure azimuth sensing angle range of the second node into X=24 equal parts (each angle range is 5°), with each part corresponding to an A. j ′,j=1,2,...,24; , at this point, a total of 12+24=36 first matrix indices are obtained. The first node returns several of these 36 indices to determine the final first matrix. (or, Where P1 and P2 are subsets of the sets {1,2,...,12} and {1,2,...,24}, respectively, representing the set of indices selected for the first node. ρ1, ρ2, and ρ are all coefficients.

[0297] As shown in Figure 7, the maximum horizontal azimuth sensing angle range (120°) of the second node (e.g., network-side device) is divided into two granularities (10° and 5°). Assuming the numbering follows the clockwise direction in Figure 7, the blue angle ranges in the figure represent the angle ranges associated with the sensing area / sensing target / target path determined by the first node (e.g., terminal device) through the first sensing measurement. These ranges correspond to the first matrices A3, A′7, A6, and A′, respectively. 15 The second node reports the index values ​​corresponding to the above matrix (for example, i=3, i=6, j=7, j=15) to the second node.

[0298] The second node, based on the first matrix index set fed back by the first node, determines the first matrix A, and then performs eigenvalue decomposition on A to obtain the eigenvectors corresponding to the K2 largest eigenvalues, which serve as the perceptual precoding codebook. This codebook scheme based on the first matrix index only requires the first node to feed back the first matrix index, resulting in low feedback overhead.

[0299] It should be noted that for a certain angular range granularity, the first matrix eigenvectors for different angular ranges can be pre-calculated and stored to establish a mapping relationship between the codebook and the reporting index, which can reduce the computational load of the equipment to a certain extent. Taking Figure 7 as an example, assuming the second node has 10 transmitting antennas and uses two transmitting ports (or beams) (i.e., K2 = 2), the vectors corresponding to the two largest eigenvalues ​​of A6 are [-0.2112-0.1704i, -0.1737-0.2442i, -0.1087-0.3030i, -0.0239-0.3365i, 0.0695-0.3381i, 0.1582-0.3068i, 0.2299-0.2469i, 0.2749-0.1676]. i,0.2885-0.0810i,0.2714+0.0000i],[0.3679+0.2989i,0.2262+0.3197i,0.0984+0.2755i,0.0129+0.1803i,-0.0119+0.0600i,0.0285-0.0541i,0.1237-0.1318i,0.2501-0.1517i,0.3771-0.1055i,0.4740+0.0000i]. Using this precoding codebook, the second node can form two orthogonal beams within the angular range of 0° to 10°, and the power of their combined beam remains constant within this angular range. Since the second node uses two transmission ports, the first node can perform MIMO sensing in subsequent sensing operations to obtain accurate angle information of the sensed target / target path (including accurate departure angle and arrival angle information). It should be noted that when the sensed target / target path is widely and extensively distributed across the angle domain, the combinations of the summation terms in the first matrix will be numerous. For example, in Figure 7, the actual first matrix A = ρ1(A3+A6) + ρ2(A7′+A1′5) or A = ρ(A3+A6+A7′+A1′5). If the codebook corresponding to each combination of the first matrix is ​​pre-stored, the storage requirement will become enormous. Therefore, in practical applications, only the codebook corresponding to a portion of the first matrix for a single continuous angle range can be pre-calculated and stored. In complex multipath environments, the codebook is still calculated based on the actual situation.

[0300] In some embodiments, a perceptual precoding codebook scheme 2 can be employed. In this scheme, the perceptual precoding codebook can be an unquantized codebook based on the eigenvectors of the first matrix A (such as the codebook in scheme 1), or it can be a codebook based on DFT vectors and quantized linear array combination coefficients. The characteristic of this scheme is that after the second node and the first node perform the first perceptual measurement, the first node determines the first matrix A and the eigenvectors corresponding to its largest K2 eigenvalues ​​according to the measurement parameters described in this embodiment. Based on this result, the first node can determine at least one of the following pieces of information for constructing the perceptual precoding:

[0301] The DFT vector or DFT vector index of the first domain;

[0302] The combination coefficients of the linear combination of the DFT vectors in the first domain, or the index of the quantized combination coefficients;

[0303] Number of DFT vectors in the first domain.

[0304] The first domain includes at least one of the angle domain, beam domain, frequency domain, time delay domain, and Doppler domain.

[0305] In one implementation, the above-described perceptual precoding scheme can be implemented based on an NR Type II codebook or an Enhanced Type II codebook (see 3GPP TS 38.214). For example, the first node determines a first matrix A, which can also be divided into a wideband first matrix A. WB And sub-band first matrix A SB For example, one possible implementation is to average A over all frequency points to obtain the first broadband matrix A. WB The average of A within each sub-band is taken to obtain the first sub-band matrix A of each sub-band. SB For A respectively WB and A SB Perform eigenvalue decomposition or singular value decomposition to obtain a matrix consisting of the eigenvectors corresponding to their K2 largest eigenvalues. Then perform the following steps:

[0306] Step 1: The first node selects one set from the DFT beam orthogonal basis of set O1O2, and further determines the broadband beam group B = [d1, d2, ..., d] from the selected beam orthogonal basis. L(i.e., L DFT beams, where L can be 2, 3, 4, or even larger). Considering that sensing does not necessarily require multi-layer transmission and multi-polarization, for simplicity, only single-layer single-polarization is considered here. Therefore, the beam selection matrix W1 = B. Where O1 and O2 are the oversampling factors in the horizontal and vertical directions, respectively. In this implementation, if dual polarization is considered, different polarizations can select the same broadband beam group;

[0307] Step 2: Perform amplitude quantization of the bandwidth coefficient on the first node and calculate the quantization coefficient P. WB In this real-time mode, if dual polarization is considered, the amplitude quantization of the broadband coefficients can be performed independently for different polarization directions. The broadband channel eigenvector is then... The broadband beam combination coefficient matrix is Then there should be Since W1 is a unitary matrix, therefore right Amplitude normalization quantization is performed based on the strongest beam coefficient to obtain the broadband amplitude quantization coefficient. In this embodiment, after the first node undergoes the first sensing measurement, it feeds back PMI content (including parameter i). 1,1 i 1,2 i 2,3,l (etc.) Determine the orthogonal basis index of the shape-based codebook of the second node, and the amplitude coefficient of the r-th polarization of the l-th orthogonal beam.

[0308] Step 3: The first node performs subband coefficient amplitude and phase quantization. Similar to wideband coefficient amplitude quantization, this is based on the subband channel feature vector. and W1 should have get right Amplitude normalization quantization is performed based on the strongest broadband beam coefficient to obtain the sub-band amplitude quantization coefficient. and sub-band phase quantization coefficients Finally obtained After channel estimation, the UE feeds back the Precoding Matrix Indicator (PMI) content (including parameter i). 1,6,l i 1,7,l i 1,8,l i 2,4,l i 2,5,l (etc.) determines the subband amplitude and phase coefficients of the downlink shaping codebook. NR's Enhanced Type II codebook performs feedback overhead compression and rank expansion on the Type II codebook. The frequency domain compression method of the Enhanced Type II codebook can also be applied to feedback compression in perceptual precoding, which will not be elaborated here.

[0309] It should be noted that in some embodiments, the feedback of A and Q can be sub-band level feedback, with different index values ​​for different frequency domain ranges.

[0310] In one implementation, the above-described sensing precoding scheme can be implemented based on the NR Type I codebook (see 3GPP TS 38.214). The implementation process is similar to that of the Type II codebook, but relatively simpler. After acquiring at least one of the above-described measurement parameters, the first node can determine the beam and port phase difference of the Type I codebook. Specifically, it includes the following steps:

[0311] Step 1: The first node selects one set from the DFT beam orthogonal basis of set O1O2, and further determines the broadband beam group B = [d1, d2, ..., d] from the selected beam orthogonal basis. L = W1 (i.e., L DFT beams, where L can be 1, 4 or even larger);

[0312] Step 2: The first node performs beam selection and phase difference quantization. The first node is generated... Where P is used to select the beam, the selected beam is set to 1, and all other elements are set to 0. Used to quantize the phase difference between the two polarization directions. Quantization, N p ∈{1,2,3,4}, ultimately When the first node provides feedback on the PMI, it reports index i. 1,1 i 1,2 i 1,3 i2 is used to select the codebook and rotate the phase between different antenna ports.

[0313] In summary, perceptual precoding The precoding vector can be a linear combination of multiple DFT vectors, i.e. and Where d is the DFT vector; or, perceptual precoding. The precoding vector can be a matrix directly composed of DFT vectors, i.e. In addition, perceptual precoding It can also contain both a linear combination vector of the above multiple DFT vectors and a DFT vector, that is... The middle part of the column vectors is a linear combination of multiple DFT vectors, determined using the Type II codebook feedback method described above; while the other part of the column vectors is a DFT vector, which can be determined using the Type I codebook feedback method described above. In this case, in addition to reporting the Type I and Type II codebook indices, the first node also needs to report precoding type indication information to notify the second node which beams belong to the Type I codebook and which belong to the Type II codebook.

[0314] The main difference between codebook scheme 2 and codebook scheme 1 lies in the fact that Scheme 2 uses a DFT vector-based codebook feedback method to instruct the perceptual precoding of the second node, with the precoding matrix calculation performed at the first node, whereas Scheme 1 performs the precoding matrix calculation at the second node. The feedback content also differs, and this scheme is well-compatible with existing NR codebook feedback schemes.

[0315] In some embodiments, a codebook scheme 3 for perceptual precoding can be adopted. In the codebook scheme 3 for perceptual precoding, the precoding vector c corresponding to each beam in the perceptual precoding... k K = 1, 2, ..., K2 can contain parts that are originally 0, i.e. Where v′ k k = 1, 2, ..., K2 is a vector with a length less than the number of transmit antennas M. It can be a linear combination of multiple DFT vectors or a single DFT vector. v′ is determined based on at least one of the measurement parameters obtained from the first sensing measurement. The first node can directly feed back v′. k For k = 1, 2, ..., K2, the codebook scheme 2 method can also be used, namely the codebook feedback method based on NR PMI.

[0316] Furthermore, this codebook scheme 3 also requires feedback of the length information used to determine v′, and the position of v′ in the matrix. The location information. One alternative implementation is that the first node directly feeds back the length of v′ and the position of v′ in the matrix. The row and column coordinates; or, alternatively, the position of v′ (e.g., the position of the first element) can be indicated by a bitmap or selection matrix P′. For example, the position corresponding to an element 1 in the bitmap or selection matrix P′ is the position of the first element of v′. Furthermore, the bitmap or selection matrix P′ can also implicitly indicate the length of v′, for example, the dimensions of the bitmap or selection matrix P′ are the same as those of the matrix. Similarly, the position of element 1 is the position of v′, and the number of 1 elements in each column of the bitmap or selection matrix P′ is the length of v′; optionally, the length of v′ and v′ in the matrix are also considered. One of the positions is directly indicated by the first node, while the other is indicated by a bitmap or a selection matrix P′.

[0317] Alternatively, in some embodiments, several practical second matrices Q are provided.

[0318] The second matrix Q is an orthogonal matrix. The second node or the first node can predefine a series of second matrices and their indices. When providing the first information, the first node can directly provide the indices of the second matrices. Alternatively, the first node can provide parameters for constructing the second matrix Q, and the second node determines the second matrix Q based on these parameters. The second matrix Q used can be a DFT matrix, a Hadamard matrix, or a matrix obtained by performing a Kronecker product of them.

[0319] (a) DFT matrix.

[0320] The DFT matrix is ​​a unitary matrix, therefore it can be used as the second matrix Q in this scheme. The DFT matrix satisfies the following form:

[0321] Where ω = exp(j2π / K2). Due to the special nature of the DFT matrix structure, in addition to feeding back the index of the DFT matrix, the first node can also directly feed back the type indication of the second matrix Q. The second node can determine the DFT matrix used as Q based on the number of beams K2 and the second matrix type indication in the second parameter configuration information.

[0322] It should be noted that the first information is fed back by the first node, and the first node feeds back Q, which implicitly or explicitly feeds back K2. However, K2 is ultimately determined by the second node (the information related to Q is optional, the type of Q can be completely determined by the first node, but the dimension K2 of Q is determined by the second node).

[0323] When performing perception services, the first node knows the second matrix type indicator and K2, and therefore knows the second matrix Q.

[0324] (b) Hadamard matrix.

[0325] The Hadamard matrix, with its rows and columns mutually orthogonal, is also suitable as the second matrix in this scheme. However, it's important to note that the dimension of the Hadamard matrix must be an integer multiple of 2 or 4. A 2×2 Hadamard matrix can be... For dimension 2 m ×2 m The Hadamard matrices, m = 2, 3, 4, ..., can be generated iteratively using Sylvester's construction method, i.e.

[0326] Therefore, if the Hadamard matrix is ​​used as the second matrix Q, the first information may also include a type indicator for the second matrix Q, an initial 2nd-order Hadamard matrix H2, or its matrix index. After the first node feeds back the type indicator of the second matrix Q and the initial 2nd-order Hadamard matrix H2 or its matrix index i′ to the second node, the second node determines the dimension K2 of the generated Hadamard matrix based on the above information, where K2 is either 2 or a multiple of 4. Then, the second node... Calculate and determine a Hadamard matrix of dimension K2×K2 as the second matrix Q. The table below provides an example of the matrix indices for an initial 2D Hadamard matrix H2:

[0327] (c) Kronecker product of unitary matrices.

[0328] Based on the lemma: "If matrices X and Y are both unitary matrices, then their Kronecker product..." It is also a unitary matrix. "[4] In actual configuration, the second matrix Q can also be determined based on the Kronecker product of the DFT matrix, the Hadamard matrix, and other predefined unitary matrices. For example, in the first information, the first node provides feedback on the type of the second matrix Q (indicating that the second matrix is ​​the Kronecker product of at least one of the Z (Z≥2) DFT matrices and the Hadamard matrix), the initial 2nd order Hadamard matrix H2 or its matrix index, and the order of the Kronecker products of the Z (Z≥2) matrices mentioned above. The second node determines the second matrix Q based on the above information.

[0329] Referring to Figure 8, this application embodiment also provides a perception processing method, as shown in Figure 8, the perception processing method includes:

[0330] Step 801: The second node sends the first signal;

[0331] Step 802: The second node receives first information obtained by the first node through performing a first sensing measurement based on the first signal;

[0332] Step 803: The second node determines the perception precoding based on the first information;

[0333] Step 804: The second node sends a second signal based on the perception precoding, the second signal being used to execute the target perception service;

[0334] The first information includes second information and a first mapping relationship, wherein the first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource, and the first resource is used to perform the first sensing measurement; the first information is used to determine at least one of sensing precoding and first parameter configuration information, and the first parameter configuration information is used to perform the target sensing service based on the sensing precoding; the first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0335] Optionally, the method further includes:

[0336] The second node determines first parameter configuration information based on the first information, and the first parameter configuration information is used to execute the target perception service based on the perception precoding;

[0337] The second node sends the first parameter configuration information to the first node.

[0338] Optionally, the method further includes:

[0339] The second node receives first parameter configuration information determined based on the first information from the target device. The first parameter configuration information is used to execute the target perception service based on the perception precoding.

[0340] Optionally, the first parameter configuration information includes at least one of the following:

[0341] The parameter configuration information of the second resource, which is used to execute the target perception service;

[0342] Parameter configuration information of the antenna port used to perform the target sensing service;

[0343] The parameter configuration information of the second signal, which is used to execute the target perception service;

[0344] The first indication information is used to indicate the sensing measurement quantity that the first node needs to acquire, or to indicate the sensing measurement quantity that the first node needs to acquire and the tag information corresponding to the sensing measurement quantity.

[0345] Target perception precoding information, wherein the target perception precoding information is used to indicate the perception precoding;

[0346] The second mapping relationship is a mapping relationship between at least a portion of the target-aware precoded information and at least one resource in the second resource.

[0347] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the second resource;

[0348] Alternatively, the parameter configuration information of the second signal includes a first target parameter and a third mapping relationship, wherein the first target parameter is used to determine the sequence of the second signal, and the third mapping relationship is the mapping relationship between the sequence of the second signal and the second resource;

[0349] Alternatively, the target perception precoding information may include at least one of the following: an index of the perception precoding; an index of the quantization coefficients of a linear combination of perception precoding; first angle information, which is used to represent a perception angle range; a first matrix or an index of a first matrix, which is calculated and determined based on the perception angle range; a second matrix or an index of a second matrix, which is a part of the perception precoding; and a parameter measurement value of the target path.

[0350] Optionally, the second node determines the perceptual precoding based on the first information, including:

[0351] The second node determines the feature vectors corresponding to the T feature values ​​of the first matrix based on the second information in the first information. The second information includes the first matrix or the index of the first matrix. The first matrix is ​​calculated based on the range of perception angles, and T is a positive integer.

[0352] The second node determines the perceptual precoding based on the feature vector.

[0353] Optionally, the second information includes at least one of the following:

[0354] Index of perceptual precoding;

[0355] Quantization coefficient index of linear combinations of perceptual precoding;

[0356] First angle information, which is used to represent the sensing angle range;

[0357] The first matrix or the index of the first matrix, wherein the first matrix is ​​calculated and determined based on the range of perception angles;

[0358] The second matrix or the index of the second matrix, wherein the second matrix is ​​part of the perceptual precoding;

[0359] Parameter measurements of the target diameter;

[0360] The target path includes at least one of the following: a multipath passing through the sensing target, a multipath passing through the first reflector, and a direct path between the first node and the second node; wherein the first reflector is a static reflector in the environment.

[0361] Optionally, the method further includes:

[0362] The second node performs a second operation, which includes any one of the following: determining second parameter configuration information; receiving second parameter configuration information from the target device;

[0363] The second node sends the second parameter configuration information to the first node;

[0364] The second parameter configuration information is used to perform the first sensing measurement.

[0365] Optionally, the second parameter configuration information includes at least one of the following:

[0366] The parameter configuration information of the first resource;

[0367] Parameter configuration information for the antenna port used for the first sensing measurement;

[0368] The parameter configuration information of the first signal;

[0369] The first instruction information is used to indicate the sensing measurement quantity that the first node needs to acquire and the label information corresponding to the sensing measurement quantity.

[0370] The reporting configuration information for the first sensing measurement.

[0371] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the first resource;

[0372] Alternatively, the parameter configuration information of the first signal includes parameters for determining the sequence of the first signal and the mapping relationship between the sequence of the first signal and the first resource;

[0373] Alternatively, the reported configuration information may include reported configurations related to perception precoding.

[0374] Referring to Figure 9, this application embodiment also provides a sensing processing method, as shown in Figure 9, the sensing processing method includes:

[0375] Step 901: The target device receives first information from the first node obtained by performing a first sensing measurement based on a first signal;

[0376] Step 902, the target device performs a third operation, the third operation including at least one of the following: sending the first information to the second node; determining first parameter configuration information based on the first information, the first parameter configuration information being used to execute target perception services based on perception precoding, the perception precoding being determined based on the first information;

[0377] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0378] Optionally, the method further includes:

[0379] The target device sends the first parameter configuration information to at least one of the first node and the second node.

[0380] Optionally, the second information includes at least one of the following:

[0381] Index of perceptual precoding;

[0382] Quantization coefficient index of linear combinations of perceptual precoding;

[0383] First angle information, which is used to represent the sensing angle range;

[0384] The first matrix or the index of the first matrix, wherein the first matrix is ​​calculated and determined based on the range of perception angles;

[0385] The second matrix or the index of the second matrix, wherein the second matrix is ​​part of the perceptual precoding;

[0386] Parameter measurements of the target diameter;

[0387] The target path includes at least one of the following: a multipath passing through the sensing target, a multipath passing through the first reflector, and a direct path between the first node and the second node; wherein the first reflector is a static reflector in the environment.

[0388] Optionally, the first parameter configuration information includes at least one of the following:

[0389] The parameter configuration information of the second resource, which is used to execute the target perception service;

[0390] Parameter configuration information of the antenna port used to perform the target sensing service;

[0391] The parameter configuration information of the second signal, which is used to execute the target perception service;

[0392] The first indication information is used to indicate the sensing measurement quantity that the first node needs to acquire, or to indicate the sensing measurement quantity that the first node needs to acquire and the tag information corresponding to the sensing measurement quantity.

[0393] Target perception precoding information, wherein the target perception precoding information is used to indicate the perception precoding;

[0394] The second mapping relationship is a mapping relationship between at least a portion of the target-aware precoded information and at least one resource in the second resource.

[0395] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the second resource;

[0396] Alternatively, the parameter configuration information of the second signal includes a first target parameter and a third mapping relationship, wherein the first target parameter is used to determine the sequence of the second signal, and the third mapping relationship is the mapping relationship between the sequence of the second signal and the second resource;

[0397] Alternatively, the target perception precoding information may include at least one of the following: an index of the perception precoding; an index of the quantization coefficients of a linear combination of perception precoding; first angle information, which is used to represent a perception angle range; a first matrix or an index of a first matrix, which is calculated and determined based on the perception angle range; a second matrix or an index of a second matrix, which is a part of the perception precoding; and a parameter measurement value of the target path.

[0398] Optionally, the method further includes:

[0399] The target device determines the second parameter configuration information;

[0400] The target device sends the second parameter configuration information to at least one of the first node and the second node;

[0401] The second parameter configuration information is used to perform the first sensing measurement.

[0402] Optionally, the second parameter configuration information includes at least one of the following:

[0403] The parameter configuration information of the first resource;

[0404] Parameter configuration information for the antenna port used for the first sensing measurement;

[0405] The parameter configuration information of the first signal;

[0406] The first instruction information is used to indicate the sensing measurement quantity that the first node needs to acquire and the label information corresponding to the sensing measurement quantity.

[0407] The reporting configuration information for the first sensing measurement.

[0408] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the first resource;

[0409] Alternatively, the parameter configuration information of the first signal includes parameters for determining the sequence of the first signal and the mapping relationship between the sequence of the first signal and the first resource;

[0410] Alternatively, the reported configuration information may include reported configurations related to perception precoding.

[0411] The sensing processing method provided in this application can be executed by a sensing processing device. This application uses the example of a sensing processing device executing the sensing processing method to illustrate the sensing processing device provided in this application.

[0412] This application provides a sensing processing device. As an example, the sensing processing device may be a communication device or a component within a communication device, such as a chip. The communication device may be a terminal, a network-side device, or a server, etc. Exemplarily, the terminal may include, but is not limited to, the type of terminal 11 listed above, and the network-side device may include, but is not limited to, the type of network-side device 12 listed above. This application does not impose specific limitations.

[0413] The sensing processing device includes a receiving module, a transmitting module, and a processing module. These modules can be implemented in software or hardware. When implemented in hardware, the processing module can be implemented by a processor. For example, the processor can include general-purpose processors, special-purpose processors, such as a Central Processing Unit (CPU), microprocessor, Digital Signal Processor (DSP), Artificial Intelligence (AI) processor, Graphics Processing Unit (GPU), Application Specific Integrated Circuit (ASIC), Network Processor (NP), Field Programmable Gate Array (FPGA), or other programmable logic devices, gate circuits, transistors, discrete hardware components, etc. The receiving and transmitting modules can be implemented by a communication interface, which can include one or more of the following: transceiver, pins, circuits, bus, radio frequency unit, etc.

[0414] Specifically, referring to Figure 10, the sensing processing device 1000 includes:

[0415] The first receiving module 1001 is configured to perform a first sensing measurement based on a first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0416] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, and the first parameter configuration information is used to execute target perception service based on the perception precoding.

[0417] Optionally, the sensing processing device 1000 further includes:

[0418] The first transmitting module is used to transmit the first information to at least one of the target device and the second node, wherein the second node is a sensing node that transmits the first signal.

[0419] Optionally, the sensing processing device 1000 further includes:

[0420] The second processing module is configured to perform a first operation, the first operation including at least one of the following:

[0421] The perception precoding is determined based on the first information;

[0422] The first parameter configuration information is determined based on the first information, or the first parameter configuration information is received from the target device.

[0423] Optionally, determining the perceptual precoding based on the first information includes:

[0424] Based on the second information in the first information, the feature vectors corresponding to the T feature values ​​of the first matrix are determined. The second information includes the first matrix or the index of the first matrix. The first matrix is ​​calculated and determined according to the range of perception angles. T is a positive integer.

[0425] Based on the feature vector, the perceptual precoding is determined.

[0426] Optionally, the second information includes at least one of the following:

[0427] Index of perceptual precoding;

[0428] Quantization coefficient index of linear combinations of perceptual precoding;

[0429] First angle information, which is used to represent the sensing angle range;

[0430] The first matrix or the index of the first matrix, wherein the first matrix is ​​calculated and determined based on the range of perception angles;

[0431] The second matrix or the index of the second matrix, wherein the second matrix is ​​part of the perceptual precoding;

[0432] Parameter measurements of the target diameter;

[0433] The target path includes at least one of the following: a multipath passing through the sensing target, a multipath passing through the first reflector, and a direct path between the first node and the second node; wherein the first reflector is a static reflector in the environment.

[0434] Optionally, the sensing processing device 1000 further includes:

[0435] The second processing module is used to determine at least one of the index of the perceptual precoding and the quantization coefficient index of the linear combination of the perceptual precoding based on the first matrix.

[0436] Optionally, the first parameter configuration information includes at least one of the following:

[0437] The parameter configuration information of the second resource, which is used to execute the target perception service;

[0438] Parameter configuration information of the antenna port used to perform the target sensing service;

[0439] The parameter configuration information of the second signal, which is used to execute the target perception service;

[0440] The first indication information is used to indicate the sensing measurement quantity that the first node needs to acquire, or to indicate the sensing measurement quantity that the first node needs to acquire and the tag information corresponding to the sensing measurement quantity.

[0441] Target perception precoding information, wherein the target perception precoding information is used to indicate the perception precoding;

[0442] The second mapping relationship is a mapping relationship between at least a portion of the target-aware precoded information and at least one resource in the second resource.

[0443] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the second resource;

[0444] Alternatively, the parameter configuration information of the second signal includes a first target parameter and a third mapping relationship, wherein the first target parameter is used to determine the sequence of the second signal, and the third mapping relationship is the mapping relationship between the sequence of the second signal and the second resource;

[0445] Alternatively, the target perception precoding information may include at least one of the following: an index of the perception precoding; an index of the quantization coefficients of a linear combination of perception precoding; first angle information, which is used to represent a perception angle range; a first matrix or an index of a first matrix, which is calculated and determined based on the perception angle range; a second matrix or an index of a second matrix, which is a part of the perception precoding; and a parameter measurement value of the target path.

[0446] Optionally, the sensing processing device 1000 further includes:

[0447] The second processing module is configured to perform a second operation, the second operation including any one of the following: determining second parameter configuration information; receiving second parameter configuration information from the target device;

[0448] The second parameter configuration information is used to perform the first sensing measurement.

[0449] Optionally, the second parameter configuration information includes at least one of the following:

[0450] The parameter configuration information of the first resource;

[0451] Parameter configuration information for the antenna port used for the first sensing measurement;

[0452] The parameter configuration information of the first signal;

[0453] The first instruction information is used to indicate the sensing measurement quantity that the first node needs to acquire and the label information corresponding to the sensing measurement quantity.

[0454] The reporting configuration information for the first sensing measurement.

[0455] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the first resource;

[0456] Alternatively, the parameter configuration information of the first signal includes a second target parameter and a fourth mapping relationship, wherein the second target parameter is used to determine the sequence of the first signal, and the fourth mapping relationship is the mapping relationship between the sequence of the first signal and the first resource;

[0457] Alternatively, the reported configuration information may include reported configurations related to perception precoding.

[0458] Optionally, the sensing processing device 1000 further includes:

[0459] The first transmitting module is used to transmit the second signal based on the perception precoding.

[0460] Referring to Figure 11, the sensing processing device 1100 includes:

[0461] The second transmitting module 1101 is used to transmit the first signal;

[0462] The second receiving module 1102 is used to receive first information obtained by the first node performing a first sensing measurement based on the first signal;

[0463] The first processing module 1103 is used to determine a perception precoding based on the first information;

[0464] The second sending module 1101 is further configured to send a second signal based on the perception precoding, the second signal being used to perform the target perception service;

[0465] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to perform the target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal.

[0466] Optionally, the first processing module 1103 is further configured to determine first parameter configuration information based on the first information, wherein the first parameter configuration information is used to execute the target perception service based on the perception precoding;

[0467] The second sending module 1101 is also used to send the first parameter configuration information to the first node.

[0468] Optionally, the second receiving module 1102 is further configured to receive first parameter configuration information determined based on the first information from the target device, wherein the first parameter configuration information is used to execute the target sensing service based on the sensing precoding.

[0469] Optionally, the first parameter configuration information includes at least one of the following:

[0470] The parameter configuration information of the second resource, which is used to execute the target perception service;

[0471] Parameter configuration information of the antenna port used to perform the target sensing service;

[0472] The parameter configuration information of the second signal, which is used to execute the target perception service;

[0473] The first indication information is used to indicate the sensing measurement quantity that the first node needs to acquire, or to indicate the sensing measurement quantity that the first node needs to acquire and the tag information corresponding to the sensing measurement quantity.

[0474] Target perception precoding information, wherein the target perception precoding information is used to indicate the perception precoding;

[0475] The second mapping relationship is a mapping relationship between at least a portion of the target-aware precoded information and at least one resource in the second resource.

[0476] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the second resource;

[0477] Alternatively, the parameter configuration information of the second signal includes a first target parameter and a third mapping relationship, wherein the first target parameter is used to determine the sequence of the second signal, and the third mapping relationship is the mapping relationship between the sequence of the second signal and the second resource;

[0478] Alternatively, the target perception precoding information may include at least one of the following: an index of the perception precoding; an index of the quantization coefficients of a linear combination of perception precoding; first angle information, which is used to represent a perception angle range; a first matrix or an index of a first matrix, which is calculated and determined based on the perception angle range; a second matrix or an index of a second matrix, which is a part of the perception precoding; and a parameter measurement value of the target path.

[0479] Optionally, the first processing module 1103 is specifically used for:

[0480] Based on the second information in the first information, the feature vectors corresponding to the T feature values ​​of the first matrix are determined. The second information includes the first matrix or the index of the first matrix. The first matrix is ​​calculated and determined according to the range of perception angles. T is a positive integer.

[0481] Based on the feature vector, the perceptual precoding is determined.

[0482] Optionally, the second information includes at least one of the following:

[0483] Index of perceptual precoding;

[0484] Quantization coefficient index of linear combinations of perceptual precoding;

[0485] First angle information, which is used to represent the sensing angle range;

[0486] The first matrix or the index of the first matrix, wherein the first matrix is ​​calculated and determined based on the range of perception angles;

[0487] The second matrix or the index of the second matrix, wherein the second matrix is ​​part of the perceptual precoding;

[0488] Parameter measurements of the target diameter;

[0489] The target path includes at least one of the following: a multipath passing through the sensing target, a multipath passing through the first reflector, and a direct path between the first node and the second node; wherein the first reflector is a static reflector in the environment.

[0490] Optionally, the first processing module 1103 is further configured to perform a second operation, the second operation including any one of the following: determining second parameter configuration information; receiving second parameter configuration information from the target device;

[0491] The second node sends the second parameter configuration information to the first node;

[0492] The second parameter configuration information is used to perform the first sensing measurement.

[0493] Optionally, the second parameter configuration information includes at least one of the following:

[0494] The parameter configuration information of the first resource;

[0495] Parameter configuration information for the antenna port used for the first sensing measurement;

[0496] The parameter configuration information of the first signal;

[0497] The first instruction information is used to indicate the sensing measurement quantity that the first node needs to acquire and the label information corresponding to the sensing measurement quantity.

[0498] The reporting configuration information for the first sensing measurement.

[0499] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the first resource;

[0500] Alternatively, the parameter configuration information of the first signal includes parameters for determining the sequence of the first signal and the mapping relationship between the sequence of the first signal and the first resource;

[0501] Alternatively, the reported configuration information may include reported configurations related to perception precoding.

[0502] Referring to Figure 12, the sensing processing device 1200 includes:

[0503] The third receiving module 1201 is used to receive first information obtained from the first node by performing a first sensing measurement based on a first signal;

[0504] The third sending module 1202 is used to perform a third operation, the third operation including at least one of the following: sending the first information to the second node; determining first parameter configuration information based on the first information, the first parameter configuration information being used to execute target perception service based on the perception precoding;

[0505] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0506] Optionally, the third sending module 1202 is further configured to send the first parameter configuration information to at least one of the first node and the second node.

[0507] Optionally, the second information includes at least one of the following:

[0508] Index of perceptual precoding;

[0509] Quantization coefficient index of linear combinations of perceptual precoding;

[0510] First angle information, which is used to represent the sensing angle range;

[0511] The first matrix or the index of the first matrix, wherein the first matrix is ​​calculated and determined based on the range of perception angles;

[0512] The second matrix or the index of the second matrix, wherein the second matrix is ​​part of the perceptual precoding;

[0513] Parameter measurements of the target diameter;

[0514] The target path includes at least one of the following: a multipath passing through the sensing target, a multipath passing through the first reflector, and a direct path between the first node and the second node; wherein the first reflector is a static reflector in the environment.

[0515] Optionally, the first parameter configuration information includes at least one of the following:

[0516] The parameter configuration information of the second resource, which is used to execute the target perception service;

[0517] Parameter configuration information of the antenna port used to perform the target sensing service;

[0518] The parameter configuration information of the second signal, which is used to execute the target perception service;

[0519] The first indication information is used to indicate the sensing measurement quantity that the first node needs to acquire, or to indicate the sensing measurement quantity that the first node needs to acquire and the tag information corresponding to the sensing measurement quantity.

[0520] Target perception precoding information, wherein the target perception precoding information is used to indicate the perception precoding;

[0521] The second mapping relationship is a mapping relationship between at least a portion of the target-aware precoded information and at least one resource in the second resource.

[0522] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the second resource;

[0523] Alternatively, the parameter configuration information of the second signal includes a first target parameter and a third mapping relationship, wherein the first target parameter is used to determine the sequence of the second signal, and the third mapping relationship is the mapping relationship between the sequence of the second signal and the second resource;

[0524] Alternatively, the target perception precoding information may include at least one of the following: an index of the perception precoding; an index of the quantization coefficients of a linear combination of perception precoding; first angle information, which is used to represent a perception angle range; a first matrix or an index of a first matrix, which is calculated and determined based on the perception angle range; a second matrix or an index of a second matrix, which is a part of the perception precoding; and a parameter measurement value of the target path.

[0525] Optionally, the sensing processing device 1200 further includes:

[0526] The third processing module is used to determine the configuration information of the second parameter.

[0527] The third sending module 1202 is further configured to send the second parameter configuration information to at least one of the first node and the second node;

[0528] The second parameter configuration information is used to perform the first sensing measurement.

[0529] Optionally, the second parameter configuration information includes at least one of the following:

[0530] The parameter configuration information of the first resource;

[0531] Parameter configuration information for the antenna port used for the first sensing measurement;

[0532] The parameter configuration information of the first signal;

[0533] The first instruction information is used to indicate the sensing measurement quantity that the first node needs to acquire and the label information corresponding to the sensing measurement quantity.

[0534] The reporting configuration information for the first sensing measurement.

[0535] Optionally, the parameter configuration information of the antenna port includes: antenna port index, and the mapping relationship between the antenna port index and the first resource;

[0536] Alternatively, the parameter configuration information of the first signal includes parameters for determining the sequence of the first signal and the mapping relationship between the sequence of the first signal and the first resource;

[0537] Alternatively, the reported configuration information may include reported configurations related to perception precoding.

[0538] The sensing processing device provided in this application embodiment can implement the various processes implemented in the method embodiments of Figures 4 to 9 and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0539] As shown in Figure 13, this application embodiment also provides a communication device 1300, including a processor 1301 and a memory 1302. The memory 1302 stores a program or instructions that can run on the processor 1301. When the program or instructions are executed by the processor 1301, they implement the various steps of the above-described perception processing method embodiment and can achieve the same technical effect. To avoid repetition, they will not be described again here.

[0540] This application also provides a terminal, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the steps in the method embodiments shown in FIG4 or FIG8. This terminal embodiment corresponds to the above-described terminal-side method embodiments, and all implementation processes and methods of the above-described method embodiments can be applied to this terminal embodiment and can achieve the same technical effect. The terminal may be the sensing processing device shown in FIG10 or FIG11. Specifically, FIG14 is a schematic diagram of the hardware structure of a terminal implementing an embodiment of this application.

[0541] The terminal 1400 includes, but is not limited to, at least some of the following components: radio frequency unit 1401, network module 1402, audio output unit 1403, input unit 1404, sensor 1405, display unit 1406, user input unit 1407, interface unit 1408, memory 1409, and processor 1410.

[0542] Those skilled in the art will understand that the terminal 1400 may also include a power supply (such as a battery) for powering various components. The power supply can be logically connected to the processor 1410 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The terminal structure shown in Figure 14 does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0543] It should be understood that, in this embodiment, the input unit 1404 may include a graphics processor 14041 and a microphone 14042. The graphics processor 14041 processes image data of still images or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The display unit 1406 may include a display panel 14061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, or the like. The user input unit 1407 includes at least one of a touch panel 14071 and other input devices 14072. The touch panel 14071 is also called a touch screen. The touch panel 14071 may include a touch detection device and a touch controller. Other input devices 14072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here.

[0544] In this embodiment, after receiving downlink data from the network-side device, the radio frequency unit 1401 can transmit it to the processor 1410 for processing; in addition, the radio frequency unit 1401 can send uplink data to the network-side device. Typically, the radio frequency unit 1401 includes, but is not limited to, antennas, amplifiers, transceivers, couplers, low-noise amplifiers, duplexers, etc.

[0545] The memory 1409 can be used to store software programs or instructions, as well as various data. The memory 1409 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 1409 may include volatile memory or non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 1409 in this embodiment includes, but is not limited to, these and any other suitable types of memory.

[0546] Processor 1410 may include one or more processing units; optionally, processor 1410 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 1410.

[0547] In the case where the terminal is the first node, the radio frequency unit 1401 is used to perform a first sensing measurement based on a first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0548] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, and the first parameter configuration information is used to execute target perception service based on the perception precoding.

[0549] When the terminal is a second node, the radio frequency unit 1401 is used to transmit a first signal and receive first information obtained by the first node performing a first sensing measurement based on the first signal;

[0550] Processor 1410 is configured to determine a perceptual precoding based on the first information;

[0551] Radio frequency unit 1401 is also used to transmit a second signal based on the sensing precoding, the second signal being used to perform target sensing services;

[0552] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to perform the target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal.

[0553] It is understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the method embodiment on the first node or the second node side, and achieve the same or corresponding technical effects. In order to avoid repetition, it will not be described again here.

[0554] This application also provides a network-side device, including a processor and a communication interface. The communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the steps of the method embodiments shown in FIG4, FIG8, or FIG9. This network-side device embodiment corresponds to the above-described network-side device method embodiments. All implementation processes and methods of the above-described method embodiments can be applied to this network-side device embodiment and can achieve the same technical effects.

[0555] Specifically, this application embodiment also provides a network-side device, which may be the sensing processing device shown in FIG10, FIG11 or FIG12. As shown in FIG15, the network-side device 1500 includes: a processor 1501, a network interface 1502 and a memory 1503. The network interface 1502 is, for example, a common public radio interface (CPRI).

[0556] Specifically, the network-side device 1500 in this application embodiment further includes: instructions or programs stored in memory 1503 and executable on processor 1501. Processor 1501 calls the instructions or programs in memory 1503 to execute the methods executed by the modules shown in FIG10, FIG11 or FIG12 and achieve the same technical effect. To avoid repetition, it will not be described in detail here.

[0557] In the case where the network-side device is the first node, the network interface 1502 is used to perform a first sensing measurement based on a first signal to obtain first information. The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement.

[0558] Wherein, the first information is used to determine at least one of perception precoding and first parameter configuration information, and the first parameter configuration information is used to execute target perception service based on the perception precoding.

[0559] When the network-side device is a second node, the network interface 1502 is used to send a first signal and receive first information obtained by the first node through a first sensing measurement based on the first signal.

[0560] Processor 1501 is configured to determine perceptual precoding based on the first information;

[0561] Network interface 1502 is also used to send a second signal based on the perception precoding, the second signal being used to perform the target perception service;

[0562] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first information is used to determine at least one of sensing precoding and first parameter configuration information. The first parameter configuration information is used to perform the target sensing service based on the sensing precoding. The first node is a sensing node that receives the first signal.

[0563] When the network-side device is the target device, the network interface 1502 is used to receive first information from the first node obtained by performing a first sensing measurement based on a first signal; and to perform a third operation, the third operation including at least one of the following: sending the first information to the second node; and determining first parameter configuration information based on the first information, the first parameter configuration information being used to perform a target sensing service based on the sensing precoding.

[0564] The first information includes second information and a first mapping relationship. The first mapping relationship is a mapping relationship between at least a portion of the second information and at least one resource in the first resource. The first resource is used to perform the first sensing measurement. The first node is a sensing node that receives the first signal, and the second node is a sensing node that sends the first signal.

[0565] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described perception processing method embodiments and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0566] The processor mentioned above is the processor in the terminal described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk. In some examples, the readable storage medium may be a non-transient readable storage medium.

[0567] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described perception processing method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0568] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0569] This application also provides a computer program / program product, which includes computer instructions. The computer program / program product is executed by at least one processor to implement the various processes of the above-described perception processing method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0570] This application also provides a wireless communication system, including: a first node, a second node, and a target device. The first node can be used to execute the steps of the sensing processing method on the first node side as described above, the second node can be used to execute the steps of the sensing processing method on the second node side as described above, and the target device can be used to execute the steps of the sensing processing method on the target device side as described above.

[0571] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0572] From the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of computer software products plus necessary general-purpose hardware platforms, and of course, they can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes several instructions to cause the terminal or network-side device to execute the methods described in the various embodiments of this application.

[0573] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other implementations under the guidance of this application without departing from the spirit and scope of the claims. All of these implementations are within the protection scope of this application.

Claims

1. A sensing processing method, comprising: performing, by a first node, a first sensing measurement based on a first signal to obtain first information, the first information comprising second information and a first mapping relationship, the first mapping relationship being a mapping relationship between at least part of the second information and at least one of first resources used for performing the first sensing measurement; wherein the first information is used for determining at least one of a sensing precoding and first parameter configuration information used for performing a target sensing service based on the sensing precoding, and the first node is a sensing node receiving the first signal. 2.The method of claim 1, further comprising: sending, by the first node, the first information to at least one of a target device and a second node, the second node being a sensing node sending the first signal. 3.The method of claim 1, further comprising: performing, by the first node, a first operation, the first operation comprising at least one of: determining the sensing precoding based on the first information; determining the first parameter configuration information based on the first information, or receiving the first parameter configuration information from a target device.

4. The method of claim 3, wherein, determining the sensing precoding based on the first information comprises: determining a eigenvector corresponding to T eigenvalues of a first matrix based on second information in the first information, the second information comprising the first matrix or an index of the first matrix, the first matrix being determined according to a sensing angle range, and T being a positive integer; determining the sensing precoding based on the eigenvector.

5. The method of claim 1, wherein, the second information comprising at least one of: an index of the sensing precoding; a quantization coefficient index of a linear combination of the sensing precoding; first angle information used for representing a sensing angle range; the first matrix or the index of the first matrix, the first matrix being determined according to a sensing angle range; a second matrix or an index of the second matrix, the second matrix being a part of the sensing precoding; a parameter measurement value of a target path; wherein the target path comprises at least one of: a multipath passing through a sensing target, a multipath passing through a first reflector, and a direct path between the first node and a second node, wherein the first reflector is a static reflector in an environment. 6.The method of claim 5, further comprising: determining, by the first node, at least one of an index of the sensing precoding and a quantization coefficient index of a linear combination of the sensing precoding based on the first matrix.

7. The method according to any one of claims 1 to 6, wherein, the first parameter configuration information comprising at least one of: parameter configuration information of a second resource used for performing the target sensing service; parameter configuration information of an antenna port used for performing the target sensing service; parameter configuration information of a second signal used for performing the target sensing service; first indication information used for indicating sensing measurement quantities needed to be obtained by the first node, or used for indicating the sensing measurement quantities needed to be obtained by the first node and label information corresponding to the sensing measurement quantities. targeted sensing precoding information, the targeted sensing precoding information being used to indicate the sensing precoding; a second mapping relationship, the second mapping relationship being a mapping relationship between at least part of the targeted sensing precoding information and at least one of the second resources.

8. The method of claim 7, wherein, The parameter configuration information of the antenna port includes: an antenna port index, and a mapping relationship between the antenna port index and the first resources. Or, the parameter configuration information of the second signal includes a first target parameter and a third mapping relationship, the first target parameter being used to determine a sequence of the second signal, and the third mapping relationship being a mapping relationship between the sequence of the second signal and the second resources. Or, the targeted sensing precoding information includes at least one of the following: an index of the sensing precoding; an index of a quantized coefficient of a linear combination of the sensing precoding; first angle information used to represent a sensing angle range; a first matrix or an index of the first matrix, the first matrix being determined according to the sensing angle range; a second matrix or an index of the second matrix, the second matrix being a part of the sensing precoding; and a parameter measurement value of a target path.

9. The method of claim 1, further comprising: performing, by the first node, a second operation, the second operation including any one of the following: determining second parameter configuration information; receiving, by the first node, the second parameter configuration information from a target device; wherein the second parameter configuration information is used to perform the first sensing measurement.

10. The method of claim 9, wherein, The second parameter configuration information includes at least one of the following: parameter configuration information of the first resources; parameter configuration information of an antenna port used for the first sensing measurement; parameter configuration information of the first signal; first indication information used to indicate a sensing measurement quantity that the first node needs to obtain and label information corresponding to the sensing measurement quantity; reporting configuration information of the first sensing measurement.

11. The method of claim 10, wherein, The parameter configuration information of the antenna port includes: an antenna port index, and a mapping relationship between the antenna port index and the first resources. Or, the parameter configuration information of the first signal includes a second target parameter and a fourth mapping relationship, the second target parameter being used to determine a sequence of the first signal, and the fourth mapping relationship being a mapping relationship between the sequence of the first signal and the first resources. Or, the reporting configuration information includes reporting configuration related to the sensing precoding.

12. The method of any one of claims 1 to 11, further comprising: transmitting, by the first node, a second signal based on the sensing precoding.

13. A sensing processing method, comprising: transmitting, by a second node, a first signal; receiving, by the second node, first information obtained by a first node based on a first sensing measurement performed on the first signal; determining, by the second node, a sensing precoding based on the first information; transmitting, by the second node, a second signal based on the sensing precoding, the second signal being used to perform a targeted sensing service. The first information includes second information and a first mapping relationship, the first mapping relationship is a mapping relationship between at least part of the content in the second information and at least one resource in a first resource, and the first resource is used to perform the first sensing measurement; the first information is used to determine at least one of sensing precoding and first parameter configuration information, and the first parameter configuration information is used to perform the target sensing service based on the sensing precoding; the first node is a sensing node receiving the first signal, and the second node is a sensing node sending the first signal.

14. The method of claim 13, further comprising: The second node determines first parameter configuration information based on the first information, and the first parameter configuration information is used to perform the target sensing service based on the sensing precoding; The second node sends the first parameter configuration information to the first node.

15. The method of claim 13, further comprising: The second node receives first parameter configuration information determined based on the first information from a target device, and the first parameter configuration information is used to perform the target sensing service based on the sensing precoding.

16. The method of claim 14 or 15, wherein, The first parameter configuration information includes at least one of the following: Parameter configuration information of a second resource, the second resource being used to perform the target sensing service; Parameter configuration information of an antenna port used to perform the target sensing service; Parameter configuration information of a second signal used to perform the target sensing service; First indication information used to indicate sensing measurement quantities that the first node needs to obtain, or used to indicate sensing measurement quantities that the first node needs to obtain and label information corresponding to the sensing measurement quantities; Target sensing precoding information used to indicate the sensing precoding; A second mapping relationship between at least part of the content in the target sensing precoding information and at least one resource in the second resource.

17. The method of claim 16, wherein, The parameter configuration information of the antenna port includes an antenna port index and a mapping relationship between the antenna port index and the second resource; Or, the parameter configuration information of the second signal includes a first target parameter used to determine a sequence of the second signal and a third mapping relationship between the sequence of the second signal and the second resource; Or, the target sensing precoding information includes at least one of the following: an index of the sensing precoding; an index of a quantization coefficient of a linear combination of the sensing precoding; first angle information used to represent a sensing angle range; a first matrix or an index of the first matrix, the first matrix being determined according to the sensing angle range; a second matrix or an index of the second matrix, the second matrix being part of the sensing precoding; and a parameter measurement value of a target path.

18. The method of claim 13, wherein, The second node determines the sensing precoding based on the first information, which includes: The second node determines eigenvectors corresponding to T eigenvalues of a first matrix based on second information in the first information, the second information comprising the first matrix or an index of the first matrix, the first matrix being determined according to a calculation of an angle of perception range, the T being a positive integer The second node determines the perception precoding based on the eigenvectors.

19. The method according to any one of claims 13 to 18, wherein, The second information comprises at least one of: an index of the perception precoding; a quantization coefficient index of a linear combination of the perception precoding; first angle information used to represent an angle of perception range; the first matrix or an index of the first matrix, the first matrix being determined according to a calculation of an angle of perception range; a second matrix or an index of the second matrix, the second matrix being a part of the perception precoding; a parameter measurement of a target path; wherein the target path comprises at least one of: a multipath passing through a target of perception, a multipath passing through a first reflector, a direct path between the first node and the second node; wherein the first reflector is a static reflector in an environment.

20. The method of any one of claims 13 to 19, further comprising: the second node performing a second operation, the second operation comprising any one of: determining second parameter configuration information; receiving second parameter configuration information from a target device; the second node sending the second parameter configuration information to the first node; wherein the second parameter configuration information is used to perform the first perception measurement.

21. The method of claim 20, wherein, The second parameter configuration information comprises at least one of: parameter configuration information of the first resource; parameter configuration information of an antenna port used for the first perception measurement; parameter configuration information of the first signal; first indication information used to indicate perception measurement quantities that the first node needs to obtain and label information corresponding to the perception measurement quantities; reporting configuration information of the first perception measurement.

22. The method of claim 21, wherein, The parameter configuration information of the antenna port comprises: an antenna port index and a mapping relationship between the antenna port index and the first resource. Or, the parameter configuration information of the first signal comprises a parameter used to determine a sequence of the first signal and a mapping relationship between the sequence of the first signal and the first resource. Or, the reporting configuration information comprises reporting configuration related to the perception precoding.

23. A perception processing method, comprising: a target device receiving first information obtained by performing a first perception measurement based on a first signal from a first node; the target device performing a third operation, the third operation comprising at least one of: sending the first information to a second node; determining first parameter configuration information based on the first information, the first parameter configuration information being used to perform a target perception service based on a perception precoding, the perception precoding being determined based on the first information. The first information includes second information and a first mapping relationship, the first mapping relationship is a mapping relationship between at least part of the content in the second information and at least one resource in a first resource, and the first resource is used to perform the first sensing measurement.

24. The method of claim 23, further comprising: The target device sends the first parameter configuration information to at least one of the first node and the second node.

25. The method of claim 23, wherein, The second information includes at least one of: an index of the sensing precoding; an index of a quantized coefficient of a linear combination of the sensing precoding; first angle information used to represent a sensing angle range; a first matrix or an index of the first matrix, the first matrix being determined according to a sensing angle range calculation; a second matrix or an index of the second matrix, the second matrix being part of the sensing precoding; a parameter measurement value of a target path; The target path includes at least one of: a multipath passing through a sensing target, a multipath passing through a first reflector, and a direct path between the first node and the second node; and the first reflector is a static reflector in an environment.

26. The method of any one of claims 23 to 25, wherein, The first parameter configuration information includes at least one of: parameter configuration information of a second resource used to perform the target sensing service; parameter configuration information of an antenna port used to perform the target sensing service; parameter configuration information of a second signal used to perform the target sensing service; first indication information used to indicate a sensing measurement quantity that the first node needs to acquire, or used to indicate a sensing measurement quantity that the first node needs to acquire and label information corresponding to the sensing measurement quantity; target sensing precoding information used to indicate the sensing precoding; a second mapping relationship between at least part of the content in the target sensing precoding information and at least one resource in the second resource.

27. The method of claim 26, wherein, The parameter configuration information of the antenna port includes an antenna port index and a mapping relationship between the antenna port index and the second resource. Or, the parameter configuration information of the second signal includes a first target parameter used to determine a sequence of the second signal and a third mapping relationship between the sequence of the second signal and the second resource. Or, the target sensing precoding information includes at least one of: an index of the sensing precoding; an index of a quantized coefficient of a linear combination of the sensing precoding; first angle information used to represent a sensing angle range; a first matrix or an index of the first matrix, the first matrix being determined according to a sensing angle range calculation; a second matrix or an index of the second matrix, the second matrix being part of the sensing precoding; and a parameter measurement value of a target path.

28. The method of any one of claims 23 to 27, further comprising: The target device determines second parameter configuration information; The target device sends the second parameter configuration information to at least one of the first node and the second node; The second parameter configuration information is used to perform the first sensing measurement.

29. The method of claim 28, wherein, The second parameter configuration information includes at least one of: Parameter configuration information of the first resource; Parameter configuration information of an antenna port used for the first sensing measurement; Parameter configuration information of the first signal; First indication information used to indicate sensing measurement quantities that the first node needs to acquire and label information corresponding to the sensing measurement quantities; Reporting configuration information of the first sensing measurement.

30. The method of claim 29, wherein, The parameter configuration information of the antenna port includes an antenna port index and a mapping relationship between the antenna port index and the first resource; Or, the parameter configuration information of the first signal includes parameters used to determine a sequence of the first signal and a mapping relationship between the sequence of the first signal and the first resource; Or, the reporting configuration information includes reporting configuration related to sensing precoding.

31. An apparatus for sensing processing, comprising: a first receiving module configured to perform a first sensing measurement based on a first signal, and obtain first information, the first information including second information and a first mapping relationship, the first mapping relationship being a mapping relationship between at least part of the second information and at least one of first resources, the first resources being used to perform the first sensing measurement; wherein the first information is used to determine at least one of sensing precoding and first parameter configuration information, the first parameter configuration information being used to perform a target sensing service based on the sensing precoding.

32. The apparatus of claim 31, further comprising: a first sending module configured to send the first information to at least one of a target device and a second node, the second node being a sensing node that sends the first signal.

33. An apparatus for sensing processing, comprising: a second sending module configured to send a first signal; a second receiving module configured to receive first information obtained by a first node based on the first signal performing a first sensing measurement; a first processing module configured to determine sensing precoding based on the first information; the second sending module is further configured to send a second signal based on the sensing precoding, the second signal being used to perform a target sensing service; wherein the first information includes second information and a first mapping relationship, the first mapping relationship being a mapping relationship between at least part of the second information and at least one of first resources, the first resources being used to perform the first sensing measurement; the first information being used to determine at least one of sensing precoding and first parameter configuration information, the first parameter configuration information being used to perform the target sensing service based on the sensing precoding; and the first node being a sensing node that receives the first signal.

34. The apparatus of claim 33, wherein, the first processing module is further configured to determine first parameter configuration information based on the first information, the first parameter configuration information being used to perform the target sensing service based on the sensing precoding; The second sending module is further configured to send the first parameter configuration information to the first node.

35. An apparatus for sensing processing, comprising: a third receiving module configured to receive, from a first node, first information obtained based on performing a first sensing measurement on a first signal; a third sending module configured to perform a third operation, the third operation comprising at least one of the following: sending the first information to a second node; determining first parameter configuration information based on the first information, the first parameter configuration information being used for performing a target sensing service based on sensing precoding. The first information comprises second information and a first mapping relationship, the first mapping relationship being a mapping relationship between at least part of the second information and at least one resource in first resources, the first resources being used for performing the first sensing measurement; the first node is a sensing node receiving the first signal, and the second node is a sensing node sending the first signal.

36. The apparatus of claim 35 wherein, The third sending module is further configured to send the first parameter configuration information to at least one of the first node and the second node.

37. A terminal comprising a processor and a memory, the memory storing programs or instructions executable on the processor, the programs or instructions being executed by the processor to implement the steps of the sensing processing method according to any one of claims 1 to 22.

38. A network-side device comprising a processor and a memory, the memory storing programs or instructions executable on the processor, the programs or instructions being executed by the processor to implement the steps of the sensing processing method according to any one of claims 1 to 30.

39. A readable storage medium, the readable storage medium storing programs or instructions, the programs or instructions being executed by a processor to implement the steps of the sensing processing method according to any one of claims 1 to 30.

40. A computer program product comprising computer instructions, the computer instructions being executed by a processor to implement the steps of the sensing processing method according to any one of claims 1 to 30.

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