Sensing method, apparatus, and communication device

Abstract

The application discloses a sensing method, device and communication equipment, and belongs to the technical field of communication. The sensing method of the application embodiment comprises the following steps: a first device obtains at least one sensing measurement result according to eigenvalues of at least one first matrix, wherein the at least one first matrix is obtained according to a time-frequency domain channel matrix, the time-frequency domain channel matrix comprises relevant information of frequency domain channel responses corresponding to a plurality of time-frequency domain sampling points, each time-frequency domain channel matrix corresponds to one antenna transceiver combination, the relevant information of the frequency domain channel responses is obtained by performing channel estimation on a received first signal by the first device, and the first matrix is a covariance matrix or a correlation coefficient matrix corresponding to the time-frequency domain channel matrix; and the first device obtains a target sensing measurement result according to the at least one sensing measurement result.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a sensing method, apparatus, and communication device. Background Technology

[0002] Future mobile communication systems will possess not only communication capabilities but also sensing capabilities. Sensing capabilities refer to the ability of one or more devices to perceive information such as the location, distance, and speed of target objects through the transmission and reception of wireless signals, or to detect, track, identify, and image target objects, events, or environments. Currently, there are many types of sensing functions, but there is still no clear solution for implementing sensing functions in scenarios such as intrusion detection and trajectory tracking. Summary of the Invention

[0003] This application provides a sensing method, apparatus, and communication device that can solve the problem of how to realize sensing functions in scenarios such as intrusion detection and trajectory tracking.

[0004] Firstly, a perception method is provided, including:

[0005] The first device obtains at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix. The at least one first matrix is ​​obtained based on a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

[0006] The first device obtains the target perception measurement result based on the at least one perception measurement result.

[0007] Secondly, a perception method is provided, including:

[0008] The second device acquires the target perception measurement results;

[0009] Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

[0010] Thirdly, a sensing device is provided, comprising:

[0011] The first acquisition module is used to obtain at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix. The at least one first matrix is ​​obtained based on a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

[0012] The second acquisition module is used to obtain the target perception measurement result based on the at least one perception measurement result.

[0013] Fourthly, a sensing device is provided, comprising:

[0014] The third acquisition module is used to acquire target perception measurement results;

[0015] Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

[0016] Fifthly, a communication device is provided, comprising 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 sensing method as described in the first or second aspect.

[0017] In a sixth aspect, a first device is provided, including a processor and a communication interface, wherein the processor is configured to obtain at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix, the at least one first matrix being obtained based on a time-frequency domain channel matrix, the time-frequency domain channel matrix including relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points, each time-frequency domain channel matrix corresponding to an antenna transceiver combination, the relevant information of the frequency domain channel response being obtained by the first device performing channel estimation on a received first signal, and the first matrix being a covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; and to obtain a target sensing measurement result based on the at least one sensing measurement result.

[0018] In a seventh aspect, a second device is provided, including a processor and a communication interface, wherein the communication interface is used to acquire target perception measurement results;

[0019] Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

[0020] Eighthly, a sensing system is provided, comprising: a first device and a second device, wherein the first device is configured to perform the steps of the sensing method as described in the first aspect, and the second device is configured to perform the steps of the sensing method as described in the second aspect.

[0021] A ninth aspect provides a readable storage medium 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 implement the steps of the method described in the second aspect.

[0022] In a tenth aspect, a chip is provided, the chip including a processor and a communication interface coupled to the processor, the processor being configured to run programs or instructions to implement the method as described in the first aspect, or to implement the method as described in the second aspect.

[0023] Eleventhly, a computer program / program product is provided, which is stored in a storage medium and is executed by at least one processor to implement the steps of the sensing method as described in the first aspect.

[0024] In this embodiment, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; decomposes the eigenvalues ​​of the covariance matrix or correlation coefficient matrix; and obtains the target perception measurement result based on the decomposed eigenvalues. Then, based on the target perception measurement result, the location, speed and other information of the target object in the target environment can be obtained, thereby realizing wireless perception functions in scenarios such as intrusion detection and trajectory tracking. Attached Figure Description

[0025] Figure 1 This diagram illustrates the structure of a communication system to which embodiments of this application can be applied.

[0026] Figure 2 One of the flowcharts illustrating the sensing method of this application embodiment;

[0027] Figure 3 A schematic diagram illustrating the time-domain computation window in an embodiment of this application;

[0028] Figure 4 A second schematic flowchart illustrating the sensing method according to an embodiment of this application;

[0029] Figure 5 One of the schematic diagrams of a sensing device according to an embodiment of this application;

[0030] Figure 6 A second schematic diagram of the module of the sensing device according to an embodiment of this application;

[0031] Figure 7 A structural block diagram illustrating a communication device according to an embodiment of this application;

[0032] Figure 8 A structural block diagram illustrating the terminal in an embodiment of this application;

[0033] Figure 9 This is one of the structural block diagrams of the network-side device according to an embodiment of this application;

[0034] Figure 10 This is a second structural block diagram illustrating the network-side device according to an embodiment of this application. Detailed Implementation

[0035] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0036] The terms "first," "second," etc., used in the specification and claims of 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, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0037] 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), and 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 NR terminology is used in most of the following description; however, these technologies can also be applied to applications beyond NR systems, such as 6th generation (6G) radio systems. th Generation 6G communication system.

[0038] Figure 1This diagram illustrates a block diagram of a wireless communication system applicable to embodiments of this application. The wireless communication system includes a terminal 11 and a network-side device 12. Terminal 11 can be a mobile phone, tablet computer, laptop 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, vehicle-mounted device (VUE), pedestrian terminal (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. It should be noted that the specific type of terminal 11 is not limited in this embodiment. Network-side equipment 12 may include access network equipment or core network equipment. Access network equipment 12 may also be referred to as radio access network equipment, radio access network (RAN), radio access network function, or radio access network unit. Access network equipment 12 may include base stations, WLAN access points, or WiFi nodes, etc. Base stations may be referred to as Node B, evolved Node B (eNB), access point, base transceiver station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), home B node, home evolved B node, Transmitting Receiving Point (TRP), or any other suitable term in the field, as long as the same technical effect is achieved. The base station is not limited to specific technical terms. It should be noted that in this application embodiment, only a base station in an NR system is used as an example for description, and the specific type of base station is not limited.Core network equipment may include, but is not limited to, at least one of the following: core network node, core network function, 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), Binding Support Function (BSF), and Application Function. Function (AF), etc. It should be noted that the embodiments of this application only use the core network equipment in the NR system as an example for introduction, and do not limit the specific type of core network equipment.

[0039] To enable those skilled in the art to better understand the embodiments of this application, the following description is provided first.

[0040] Communication and sensing integration refers to the integrated design of communication and sensing functions within the same system through spectrum sharing and hardware sharing. While transmitting information, the system can sense information such as location, distance, and speed, and detect, track, and identify target objects or events. The communication system and the sensing system complement each other, thereby improving overall performance and bringing a better service experience.

[0041] Future mobile communication systems, such as B5G or 6G systems, will possess sensing capabilities in addition to communication capabilities. Sensing capabilities refer to the ability of one or more devices to sense the location, distance, and speed of target objects through the transmission and reception of wireless signals, or to detect, track, identify, and image target objects, events, or environments. With the deployment of small base stations using high-frequency, high-bandwidth technologies such as millimeter waves and terahertz waves in 6G networks, the resolution of sensing will be significantly improved compared to centimeter waves, enabling 6G networks to provide more refined sensing services.

[0042] The integration of communication and radar is a typical application of communication-sensing fusion. In the past, radar systems and communication systems were strictly separated due to different research objects and focuses, and in most scenarios, the two systems were studied separately. In fact, radar and communication systems are both typical methods of information transmission, acquisition, processing, and exchange, and they share many similarities in terms of working principles, system architecture, and frequency bands. The design of integrated communication and radar is highly feasible, mainly in the following aspects: First, both communication and sensing systems are based on electromagnetic wave theory, using the transmission and reception of electromagnetic waves to complete information acquisition and transmission; second, both communication and sensing systems have structures such as antennas, transmitters, receivers, and signal processors, resulting in significant overlap in hardware resources; with technological advancements, their operating frequency bands also increasingly overlap; furthermore, they share similarities in key technologies such as signal modulation and reception detection, and waveform design. The integration of communication and radar systems can bring many advantages, such as cost savings, size reduction, power consumption reduction, improved spectral efficiency, and reduced mutual interference, thereby improving the overall system performance.

[0043] Currently, there has been considerable research on the integrated design of radar and communication systems. Typical joint designs include spectrum coexistence, where the two systems operate independently, allowing information exchange to reduce mutual interference; receiver sharing, where the transmitting ends of the two systems send their own signal waveforms, and the waveforms of the two systems need to be orthogonal so as not to affect their respective reception and detection; transmitter sharing, where the transmitting end transmits a joint waveform of radar and communication; and transmitter-receiver sharing, where the transmitting and receiving ends of the two systems share resources, which also requires the use of joint waveforms or waveforms with orthogonal relationships.

[0044] Sensing can be conducted in two modes: single-site and multi-site. Single-site sensing transmits a signal for sensing, receives and analyzes the echo signal to extract sensing parameters. For example, a base station acts as both the transmitter and receiver of the sensing signal, while a terminal or other object serves as the sensing target. Alternatively, dual-site or multi-site sensing can be used. Single-site transmitting and receiving are not co-located; other receivers receive and analyze the signal to extract sensing parameters. For example, base station 1 acts as the transmitter, while a terminal or base station 2 acts as the receiver. Similarly, in single-site or multi-site sensing, the transmitter can also be a terminal.

[0045] Communication systems require the joint transmission of modulated symbols carrying information and pilot symbols used for channel estimation, with a focus on decoding performance. Their channel estimation algorithms only need to estimate a composite channel with finite unknown parameters, typically optimizing throughput and transmission reliability. Performance metrics typically include spectral efficiency, channel capacity, signal-to-noise ratio (SNR), signal-to-noise and interference-plus-noise ratio (SINR), bit error rate (BER), block error rate (BLER), and symbol error rate (SER). In contrast, sensing systems do not need to consider information carrying during signal transmission, usually using optimized or unmodulated transmitted signals. The focus is on the changes the sensed target brings to the transmitted signal, i.e., response characteristics. Optimization goals typically include improving parameter estimation accuracy, and performance metrics may include ambiguity function, Cramer-Rao lower bound, root mean square error, mutual information, rate-distortion function, radar estimation rate, Welch lower bound, and other metrics related to the sensing scenario and requirements.

[0046] Currently, there are many studies that utilize communication systems to implement sensing functions, and there are many types of sensing services, but there is still no clear solution on how to implement sensing functions in intrusion detection scenarios.

[0047] The perception method provided in this application will be described in detail below with reference to the accompanying drawings and through some embodiments and application scenarios.

[0048] like Figure 2 As shown, this application provides a sensing method, including:

[0049] Step 201: The first device obtains at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix. The at least one first matrix is ​​obtained based on a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

[0050] In this embodiment of the application, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; based on the at least one time-frequency domain channel matrix, at least one first matrix is ​​obtained, and based on the eigenvalues ​​of the first matrix, the above-mentioned sensing measurement result is obtained.

[0051] The aforementioned first signal can be a sensing signal or a communication signal, which can be used for sensing. Specifically, the first signal can be a signal used to acquire information such as the location, distance, and speed of a target object, or a signal used to detect, track, identify, and image a target object, event, or environment.

[0052] The dimensions of the aforementioned time-frequency domain channel matrix are M*N or N*M, where M represents the number of subcarriers (or the number of frequency domain sampling points), and N represents the number of time domain sampling points. Both M and N are positive integers.

[0053] Each antenna transceiver combination described above can correspond to at least one time-frequency domain channel matrix. Each first matrix corresponds to one time-frequency domain channel matrix.

[0054] Step 202: The first device obtains the target perception measurement result based on the at least one perception measurement result.

[0055] Based on the target perception measurement results, the first device can obtain information such as the position and speed of the target object in the target environment.

[0056] In this embodiment of the application, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; decomposes the eigenvalues ​​of the covariance matrix or correlation coefficient matrix; and obtains the target perception measurement result based on the decomposed eigenvalues. Then, based on the target perception measurement result, the location, speed and other information of the target object in the target environment can be obtained, thereby realizing wireless perception functions in scenarios such as intrusion detection and trajectory tracking.

[0057] Optionally, the first matrix includes at least one of the following:

[0058] The frequency domain covariance matrix corresponding to the time-frequency domain channel matrix;

[0059] The frequency domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix;

[0060] The time-domain covariance matrix corresponding to the time-frequency domain channel matrix;

[0061] The time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

[0062] Optionally, the first device obtains at least one sensing measurement result based on at least one feature value of a first matrix, including:

[0063] At least one perceptual measurement result is obtained based on at least one of the maximum eigenvalue, all eigenvalues ​​and target eigenvalue of the first matrix, wherein the target eigenvalue is the largest eigenvalue among all eigenvalues ​​of the first matrix after removing the maximum eigenvalue.

[0064] Optionally, obtaining at least one perception measurement result based on at least one of the largest eigenvalue, all eigenvalues, and target eigenvalue of the first matrix includes:

[0065] Based on the weighted combined value of the largest eigenvalue of the first matrix and the target eigenvalue, at least one perception measurement result is obtained; or,

[0066] At least one perceptual measurement result is obtained based on the ratio between the largest eigenvalue of the first matrix and the sum of all eigenvalues ​​of the first matrix; or,

[0067] At least one perceptual measurement result is obtained based on the ratio between the weighted combined value of the largest eigenvalue and the target eigenvalue of the first matrix and the sum of all eigenvalues; or,

[0068] At least one perception measurement result is obtained by subtracting a preset threshold from the ratio between the sum of all eigenvalues ​​of the first matrix and the largest eigenvalue. Here, the preset threshold is set to limit the value of the perception measurement result to a preset range.

[0069] It should be noted that the ratio between A and B in the embodiments of this application includes A to B, or B to A.

[0070] Optionally, each element in the time-frequency domain channel matrix includes one of the following:

[0071] The original complex value of the frequency domain channel response corresponding to the antenna transceiver combination;

[0072] The amplitude of the frequency domain channel response corresponding to the antenna transceiver combination;

[0073] The phase of the frequency domain channel response corresponding to the antenna transceiver combination;

[0074] At least one of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination;

[0075] The weighted combined value of amplitude and phase of the frequency domain channel response corresponding to the antenna transceiver combination;

[0076] The weighted sum of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination;

[0077] The original complex value of the first result, which is the quotient or conjugate product of the frequency domain channel response corresponding to the first antenna transceiver combination and the second antenna transceiver combination.

[0078] The magnitude of the first result;

[0079] The phase of the first result;

[0080] At least one of the I-path and Q-path data of the first result;

[0081] The weighted combined value of the amplitude and phase of the first result;

[0082] The weighted combined value of the I-path data and Q-path data of the first result.

[0083] In this embodiment of the application, an antenna transceiver combination may correspond to at least one time-frequency domain channel matrix. For example, a first antenna combination may correspond to a first time-frequency domain channel matrix, where the type of the elements in the first time-frequency domain channel matrix is ​​the original complex value of the frequency domain channel response. Alternatively, the first antenna combination may correspond to a second time-frequency domain channel matrix and a third time-frequency domain channel matrix, where the type of the elements in the second time-frequency domain channel matrix is ​​the amplitude of the frequency domain channel response, and the type of the elements in the third time-frequency domain channel matrix is ​​the phase of the frequency domain channel response. Here, the amplitude and phase of the frequency domain channel response are obtained based on the original complex value of the frequency domain channel response.

[0084] In addition, in the embodiments of this application, the elements in at least two time-frequency domain channel matrices corresponding to the same antenna combination are of different types, and the elements in the same time-frequency domain channel matrix are of the same type. Here, the type of element can refer to at least one of the original complex value, amplitude, phase, I-channel and Q-channel data of the frequency domain channel response corresponding to the above-mentioned antenna transceiver combination, the amplitude, phase, etc. of the first result.

[0085] Optionally, the first device obtains at least one sensing measurement result based on at least one feature value of a first matrix, including:

[0086] The eigenvalues ​​in at least two first matrices are weighted and merged to obtain the perception measurement results.

[0087] For example, if an antenna transceiver combination corresponds to at least two time-frequency domain channel matrices, then a first matrix is ​​obtained based on each time-frequency domain channel matrix. Then, the eigenvalues ​​in the at least two first matrices are weighted and merged to obtain the sensing measurement results corresponding to the antenna transceiver combination.

[0088] The weighted merging process in this application includes summation and average calculation.

[0089] Optionally, the first device obtains the target perception measurement result based on the at least one perception measurement result, including:

[0090] The first device uses at least one of the aforementioned sensing measurement results as the target sensing measurement result;

[0091] Alternatively, the first device performs weighted merging of at least two sensing measurement results to obtain the target sensing measurement result.

[0092] Optionally, the first device obtains a target perception measurement result based on the at least one perception measurement result, including at least one of the following:

[0093] Select the perception measurement result that meets the first threshold information as the target perception measurement result; for example, select the perception measurement result that exceeds the first threshold information as the target perception measurement result; in an intrusion detection scenario, if the target perception measurement result meets the first threshold information, then it is determined that there is an intrusion in the target environment.

[0094] The relationship between the perceived measurement result and the first threshold information is used as the target perceived measurement result. This relationship information can be used to indicate whether the perceived measurement result is higher than the first threshold information. For example, if it is higher than the first threshold information, "1" is reported; otherwise, "0" is reported. In this case, corresponding to an intrusion detection scenario, reporting "1" indicates an intrusion exists, while reporting "0" indicates no intrusion exists.

[0095] If the perception measurement result satisfies the first threshold information, the difference between the perception measurement result and the first threshold information is taken as the target perception measurement result.

[0096] If the perception measurement result meets the first threshold information, the target information obtained according to the time-frequency domain channel matrix will be used as the target perception measurement result (that is, when it is determined that there is an intrusion, the perception measurement result required for intrusion target trajectory tracking will be obtained by reporting the target information).

[0097] The target information includes at least one of the following:

[0098] Doppler information of the target object;

[0099] The speed of the target object;

[0100] The coordinates (position) of the target object;

[0101] The distance between the target object and the signal transceiver;

[0102] The angle between the target object and the signal transceiver;

[0103] The time delay information from the transmission to the reception of the first signal.

[0104] Optionally, the method in this application embodiment further includes:

[0105] The first device reports the target perception measurement result or the quantized result of the target perception measurement result to the second device.

[0106] In this embodiment of the application, each antenna combination corresponds to a sensing measurement result. In the case of multiple antenna transceiver combinations, multiple sensing measurement results can be obtained. The first device can report at least one sensing measurement result to the second device, such as selecting the maximum or minimum value for reporting, or performing weighted merging processing on multiple sensing measurement results, and then reporting the merged value (i.e. the target sensing measurement result) to the second device.

[0107] Furthermore, by selecting and reporting sensing measurement results that satisfy the first threshold information, and / or reporting the relationship information between the sensing measurement results and the first threshold information, the number of reporting bits can be effectively reduced. Moreover, when the sensing measurement results satisfy the first threshold information, reporting the difference between the sensing measurement results and the first threshold information and / or the aforementioned target information to the second device facilitates the second device in adjusting the subsequent first indication information.

[0108] Here, the first device reports the target perception measurement result obtained based on at least one perception measurement result to the second device, so that the second device can obtain information such as the position and speed of the target object in the target environment based on the target perception measurement result.

[0109] Optionally, the target perception measurement result further includes:

[0110] The time when the first device receives the first signal;

[0111] The time when the first device obtains the sensing measurement result or the time when the first device obtains the target sensing measurement result;

[0112] The time unit information corresponding to the first signal.

[0113] Here, the aforementioned time unit information includes at least one of the following: frame number, half-frame number, time slot number, and symbol sequence number.

[0114] Optionally, before the first device obtains at least one sensing measurement result based on at least one feature value of a first matrix, it further includes:

[0115] Receive first indication information, the first indication information being used to indicate at least one of the following:

[0116] The sensing requirement information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix; here, at least one of the following can be indirectly obtained through the sensing requirement information: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix.

[0117] The sensing measurement quantity corresponds to the sensing measurement result, and the sensing measurement quantity is used to instruct the first device to calculate the sensing measurement result corresponding to the sensing measurement quantity based on the first signal;

[0118] First threshold information;

[0119] Configuration information for the first signal;

[0120] The relevant information of the time-frequency domain channel matrix is ​​associated with the configuration information of the first signal.

[0121] In this embodiment of the application, the aforementioned perceived demand information includes at least one of the following:

[0122] Perceive the types of services, such as intrusion detection, trajectory tracking, environmental reconstruction, breathing detection, and action recognition;

[0123] The sensing area, such as the geographic coordinates of the sensing area, the length, width, height, distance, and angular range of the sensing area;

[0124] The type of the target being sensed, such as a car, motorcycle, or pedestrian, indirectly indicates the range of the target's moving speed and the level of power reflected from wireless signals.

[0125] Integrated sensing / sensing QoS includes, for example, requirements for integrated sensing / sensing service priority, sensing resolution, sensing accuracy or sensing error, sensing latency budget, maximum sensing range, continuous sensing capability, sensing update frequency, detection probability, false alarm probability, and missed detection probability.

[0126] Communication QoS (for integrated sensing services), such as communication latency budget, false alarm rate, etc.;

[0127] Number of targets within the sensing area;

[0128] Detect the density of targets within the detection area.

[0129] Optionally, the relevant information of the time-frequency domain channel matrix includes at least one of the following:

[0130] The time-domain computation window information includes the number of time-domain sampling points, the time-domain sampling interval or the time-domain sampling position, or the size of the time-domain computation window corresponding to the time-frequency domain channel matrix H, and the start time or end time of the time-domain computation window corresponding to H;

[0131] Frequency domain calculation window information, including the number of frequency domain sampling points (number of subcarriers), frequency domain sampling interval, or frequency domain sampling position;

[0132] The sliding step size of the time-domain calculation window of the time-frequency domain channel matrix, which is used to indicate the start time and / or end time of the time-domain calculation window of the time-frequency domain channel matrix to be calculated next;

[0133] Information indicating the element type of the time-frequency domain channel matrix, such as original complex value type, amplitude type, phase type, etc.

[0134] Optionally, after the first device reports the target perception measurement result or the quantized result of the target perception measurement result to the second device, the method further includes:

[0135] Receive second indication information, which is sent when the target perception measurement result meets the first threshold information, and the second indication information is used to adjust the target parameters in the first indication information.

[0136] Optionally, the target parameter includes at least one of the following:

[0137] The perceived demand information, for example, includes trajectory tracking and related demand information;

[0138] The sensed measurement quantities include, for example, time delay, Doppler, angle, speed, distance, coordinates (position), etc.

[0139] The configuration information of the first signal, such as increasing the time-domain density of the first signal;

[0140] The relevant information of the time-frequency domain channel matrix, for example, increasing the number of time-domain sampling points.

[0141] For example, in an intrusion detection scenario, if a target object is detected to be intruding into the target environment based on the perception measurement results, the first device can send the aforementioned second instruction information so that it can perform corresponding measurements on the target object based on the second instruction information, thereby achieving closer tracking and detection.

[0142] It should be noted that, in this embodiment, the first device can determine whether the sensing measurement result meets the first threshold information and report the relevant information regarding whether the sensing measurement result meets the first threshold information to the second device. Alternatively, the second device can determine whether the sensing measurement result meets the first threshold information based on the information reported by the first device. For example, the first device obtains three sensing measurement results based on the time-frequency domain channel matrix, processes the three sensing measurement results according to a preset algorithm to obtain the first sensing measurement result, determines whether the first sensing measurement result meets the first threshold information, and sends the indication information indicating whether the first sensing measurement result meets the first threshold information to the second device. Alternatively, the second device can process the three sensing measurement results according to a preset algorithm to obtain the first sensing measurement result and determine whether the first sensing measurement result meets the first threshold information.

[0143] It should be noted that, in the embodiments of this application, the transmission and reception methods of the first signal (also referred to as the signal used for sensing) include the following methods: the first device can be a base station or a UE, and the second device can be a sensing network function device or sensing network element of the core network, or it can be a base station or a UE.

[0144] Method 1: Base station A transmits signals for sensing, and base station B receives signals for sensing.

[0145] Method 2: The base station transmits signals for sensing, and the core network equipment receives signals for sensing.

[0146] Method 3: The base station transmits signals for sensing, and the UE receives signals for sensing.

[0147] Method 4: The core network transmits signals for sensing, and the base station or UE receives signals for sensing.

[0148] Method 4: Base station transmits and receives data independently.

[0149] Method 5: UE transmits and receives data independently.

[0150] Method 6: UE transmits, base station or core network equipment receives.

[0151] In this application embodiment, the signal transmitting device can be multiple devices, and the signal receiving device can be multiple devices; the base station mentioned above can also be a TRP, AP, Relay, RIS, etc.

[0152] In one embodiment of this application, the sensing method specifically includes:

[0153] Step 1: After receiving the first signal, the first device performs channel estimation, for example, by performing least squares (LS) channel estimation or minimum mean square error (MMSE) channel estimation to obtain the first channel matrix corresponding to different antenna pair combinations. Assuming that the antenna configuration is 1 transmit and 4 receive, there are a total of 4 antenna combinations, that is, a total of 4 first channel matrices.

[0154] Step 2: Based on the relevant information of the time-frequency domain channel matrix H in the first indication information sent by the second device, the first channel matrix is ​​processed. For example, according to the time-frequency domain format of the H matrix (such as including N time-domain sampling points and M subcarriers), the elements in the channel estimation matrix (i.e., the frequency domain channel responses corresponding to different subcarriers and time-domain sampling points) are selected to obtain the second channel matrix of dimension M*N; the quotient of the second channel matrix corresponding to the first antenna transceiver combination and the second antenna transceiver combination is calculated to obtain the time-frequency domain channel matrix H. A total of 6 H's can be obtained:

[0155] H1 = H_tx1_rx1. / H_tx1_rx2;

[0156] H2 = H_tx1_rx1. / H_tx1_rx3;

[0157] H3 = H_tx1_rx1. / H_tx1_rx4;

[0158] H4 = H_tx1_rx2. / H_tx1_rx3;

[0159] H5 = H_tx1_rx2. / H_tx1_rx4;

[0160] H6 = H_tx1_rx3. / H_tx1_rx4.

[0161] Here, ". / " represents dot division, that is, dividing each element of the two matrices one by one. H_tx1_rx1 represents the second channel matrix corresponding to transmit antenna 1 and receive antenna 1 of the transmit and receive antenna combination, and so on.

[0162] Specifically, the methods for determining the time-domain calculation window and frequency-domain calculation window for the second channel matrix or the time-frequency domain channel matrix are as follows:

[0163] Define the time-domain calculation window:

[0164] The time-domain format of the first signal received by the first device or the time-domain format of the corresponding channel estimation result, such as Figure 3 As shown, the time-domain sampling point interval of the first signal is related to the sensing service requirements, such as the movement speed of the detected target in intrusion detection services, and at least satisfies: T≤1 / |2·f dmax | where T represents the first signal time interval, f dmaxThe maximum Doppler frequency shift caused by target motion is represented by N; the size N of the time-domain calculation window is related to the Doppler resolution, for example, if the duration of the time-domain calculation window is T, the corresponding Doppler resolution is 1 / T; the sliding step S of the time-domain calculation window is related to the sensing update frequency. These parameters can be directly indicated by the time-frequency domain channel matrix H-related information in the first indication information sent from the second device to the first device, or they can be determined by the first device based on the sensing requirement information in the first indication information sent from the second device to the first device.

[0165] Define the frequency domain calculation window:

[0166] The first device selects all or some of the sampling points corresponding to all subcarriers of the received first signal as the frequency domain calculation window. Assuming there are a total of M subcarriers, they can be continuous or non-continuous, such as being selected at equal intervals.

[0167] Step 3: Perform data preprocessing on H, including at least one of the following:

[0168] Noise suppression: Suppressing noise in target data. Methods can include, for example, transform domain noise suppression (DFT noise suppression), average noise suppression, MMSE filtering noise suppression, discrete wavelet transform (DWT) noise suppression, PCA noise suppression, etc.

[0169] Outlier removal: Outliers in the target data can be removed by discarding or replacing them. Methods include, for example, absolute median deviation (MAD algorithm) or Hampel filtering, standard deviation method, percentile method, etc.

[0170] Filtering: Smoothing filtering, such as Savitzky-Golay filtering, or low-pass filtering, high-pass filtering, band-pass filtering, or band-stop filtering to remove irrelevant frequency components.

[0171] Step 4: Taking the frequency domain covariance matrix as an example, calculate the frequency domain covariance matrix H based on the time-frequency domain channel matrix H. cov A dimension of M*M can be represented as:

[0172]

[0173] Where, x m =[x m (1),x m (2),…,x m [(N)] represents the m-th row vector of the time-frequency domain channel matrix, i.e., the N time-domain sampled data corresponding to the m-th subcarrier. cov represents the covariance calculation.

[0174] Step 5: For H covEigenvalue decomposition yields M eigenvalues, which are then arranged in descending order and represented as λ1, λ2, ..., λ M Furthermore, calculating the perceived measurement results, taking the ratio of feature values ​​as an example, could be:

[0175] Here, the purpose of subtracting 1 is to limit the value of the result to within 1;

[0176] or

[0177] Here, the purpose of subtracting 1 is to limit the value of the result to within 1;

[0178] or

[0179] In this embodiment of the application, it is assumed that there exists a frequency domain amplitude covariance matrix Hamp. cov and the frequency domain phase covariance matrix Hphase cov Eigenvalue decomposition is performed to obtain M eigenvalues, which are then arranged in descending order and represented as λamp1, λamp2, ..., λamp M and λphase1, λphase2, ..., λphase M In this case, the sensing measurement result can be a weighted sum of the eigenvalues ​​of the amplitude covariance matrix and the phase covariance matrix, for example:

[0180] α·λamp1+β·λphase1;

[0181] α·λamp2+β·λphase2;

[0182]

[0183]

[0184] Here, α and β represent weighting coefficients, satisfying α+β=1.

[0185] Step 6: The quotient of the second channel matrix corresponding to different antenna combinations can yield multiple sensing measurement results. For example, corresponding to H1 to H6, a total of 6 sensing measurement results can be obtained. Select the maximum or minimum value among them, or perform weighted merging of these sensing measurement results.

[0186] Step 7: The same applies to obtaining the sensing measurement results based on the eigenvalue decomposition of the frequency domain correlation coefficient matrix, where the correlation coefficient matrix H... corr A dimension of M*M can be represented as:

[0187]

[0188] Where, x m =[x m (1),x m (2),…,x m [(N)] represents the m-th row vector of the time-frequency domain channel matrix, i.e., the N time-domain sampled data corresponding to the m-th subcarrier. corr represents the correlation coefficient calculation.

[0189] The same applies to obtaining the sensing measurement results based on the eigenvalue decomposition of the time-domain covariance matrix and the time-domain correlation coefficient matrix, where the time-domain covariance matrix H... cov A dimension of N*N can be represented as:

[0190]

[0191] Where, x n =[x n (1),x n (2),…,x n [(M)] represents the nth column vector of the time-frequency domain channel matrix, that is, the M subcarrier data corresponding to the nth time-domain sampling point.

[0192] Among them, the time-domain correlation coefficient matrix H corr A dimension of N*N can be represented as:

[0193]

[0194] Where, x n =[x n (1),x n (2),…,x n [(M)] represents the nth column vector of the time-frequency domain channel matrix, that is, the M subcarrier data corresponding to the nth time-domain sampling point.

[0195] Step 8: Based on the sliding step size in Step 1, select the time domain calculation window 2 to calculate the corresponding sensing measurement results, and so on to obtain the sensing measurement results corresponding to different time domain calculation windows.

[0196] In this embodiment of the application, the receiving end performs calculations based on the received signal to obtain information related to specific matrix feature values, and implements wireless sensing functions such as intrusion detection based on this feature information.

[0197] like Figure 4 As shown in the embodiments of this application, a sensing method is also provided, including:

[0198] Step 401: The second device acquires the target perception measurement results;

[0199] Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

[0200] Here, the aforementioned first signal can be a sensing signal or a communication signal, which can be used for sensing. Specifically, the first signal can be a signal used to acquire information such as the location, distance, and speed of a target object, or a signal used to detect, track, identify, and image a target object, event, or environment.

[0201] The first device reports the target perception measurement results obtained based on at least one perception measurement result to the second device, enabling the second device to obtain information such as the position and speed of the target object in the target environment based on the target perception measurement results.

[0202] In this embodiment, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; decomposes the eigenvalues ​​of the covariance matrix or correlation coefficient matrix; and based on the decomposed eigenvalues, obtains the target perception measurement result and reports it to the second device, so that the second device can obtain information such as the position and speed of the target object in the target environment by analyzing the eigenvalues, thereby realizing wireless perception functions in scenarios such as intrusion detection and trajectory tracking.

[0203] Optionally, before the second device acquires the target perception measurement result, it further includes:

[0204] Send a first indication message, the first indication message being used to indicate at least one of the following:

[0205] The sensing demand information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix;

[0206] The sensed measurement quantity corresponds to the sensed measurement result;

[0207] First threshold information;

[0208] Configuration information for the first signal;

[0209] Information related to the time-frequency domain channel matrix.

[0210] Optionally, after the second device acquires the target perception measurement result, the method further includes:

[0211] If the target perception measurement result meets the first threshold information, a second indication information is sent, which is used to adjust the target parameters in the first indication information.

[0212] Optionally, the target parameter includes at least one of the following:

[0213] The perceived demand information;

[0214] The sensed measurement quantity;

[0215] Configuration information of the first signal;

[0216] The relevant information of the time-frequency domain channel matrix.

[0217] Optionally, the relevant information of the time-frequency domain channel matrix includes at least one of the following:

[0218] Time-domain computation window information;

[0219] Frequency domain calculation window information;

[0220] The sliding step size of the time-domain calculation window for the time-frequency domain channel matrix;

[0221] Information indicating the element type of the time-frequency domain channel matrix.

[0222] The aforementioned second indication information and related information of the time-frequency domain channel matrix have been described in detail in the method embodiment on the first device side, and will not be repeated here.

[0223] Optionally, the target perception measurement result includes at least one of the following:

[0224] The perception measurement results that satisfy the first threshold information;

[0225] The relationship between the sensing measurement results and the first threshold information;

[0226] The difference between the perceived measurement result that satisfies the first threshold information and the first threshold information;

[0227] The target information obtained from the time-frequency domain channel matrix is ​​reported when the sensing measurement results meet the first threshold information.

[0228] The target information includes at least one of the following:

[0229] Doppler information of the target object;

[0230] The speed of the target object;

[0231] The coordinates of the target object;

[0232] The distance between the target object and the signal transceiver;

[0233] The angle between the target object and the signal transceiver;

[0234] The time delay information from the transmission to the reception of the first signal.

[0235] In this embodiment, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; decomposes the eigenvalues ​​of the covariance matrix or correlation coefficient matrix; and based on the decomposed eigenvalues, obtains the target perception measurement result and reports it to the second device, so that the second device can obtain information such as the position and speed of the target object in the target environment by analyzing the eigenvalues, thereby realizing wireless perception functions in scenarios such as intrusion detection and trajectory tracking.

[0236] The sensing method provided in this application can be executed by a sensing device. This application uses the example of a sensing device executing the sensing method to illustrate the sensing device provided in this application.

[0237] like Figure 5 As shown, this application embodiment provides a sensing device 500, applied to a first device, the device comprising:

[0238] The first acquisition module 501 obtains at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix. The at least one first matrix is ​​obtained based on a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

[0239] The second acquisition module 502 is used to obtain the target perception measurement result based on the at least one perception measurement result.

[0240] Optionally, the first matrix includes at least one of the following:

[0241] The frequency domain covariance matrix corresponding to the time-frequency domain channel matrix;

[0242] The frequency domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix;

[0243] The time-domain covariance matrix corresponding to the time-frequency domain channel matrix;

[0244] The time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

[0245] Optionally, the first acquisition module is configured to obtain at least one perception measurement result based on at least one of the maximum eigenvalue, all eigenvalues ​​and target eigenvalue of the first matrix, wherein the target eigenvalue is the largest eigenvalue among all eigenvalues ​​of the first matrix after removing the maximum eigenvalue.

[0246] Optionally, the first acquisition module is configured to obtain at least one perception measurement result based on the weighted combined value of the largest eigenvalue of the first matrix and the target eigenvalue; or,

[0247] At least one perceptual measurement result is obtained based on the ratio between the largest eigenvalue of the first matrix and the sum of all eigenvalues ​​of the first matrix; or,

[0248] At least one perceptual measurement result is obtained based on the ratio between the weighted combined value of the largest eigenvalue and the target eigenvalue of the first matrix and the sum of all eigenvalues; or,

[0249] At least one perception measurement result is obtained by subtracting a preset threshold from the ratio between the sum of all eigenvalues ​​of the first matrix and the largest eigenvalue.

[0250] Optionally, each element in the time-frequency domain channel matrix includes one of the following:

[0251] The original complex value of the frequency domain channel response corresponding to the antenna transceiver combination;

[0252] The amplitude of the frequency domain channel response corresponding to the antenna transceiver combination;

[0253] The phase of the frequency domain channel response corresponding to the antenna transceiver combination;

[0254] At least one of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination;

[0255] The weighted combined value of amplitude and phase of the frequency domain channel response corresponding to the antenna transceiver combination;

[0256] The weighted sum of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination;

[0257] The original complex value of the first result, which is the quotient or conjugate product of the frequency domain channel response corresponding to the first antenna transceiver combination and the second antenna transceiver combination.

[0258] The magnitude of the first result;

[0259] The phase of the first result;

[0260] At least one of the I-path and Q-path data of the first result;

[0261] The weighted combined value of the amplitude and phase of the first result;

[0262] The weighted combined value of the I-path data and Q-path data of the first result.

[0263] Optionally, the first acquisition module is used to perform weighted merging processing on the feature values ​​in at least two first matrices to obtain the perception measurement result.

[0264] Optionally, the second acquisition module is used to take at least one of the perception measurement results or the quantized value of at least one perception measurement result as the target perception measurement result;

[0265] Alternatively, at least two perception measurement results can be weighted and merged to obtain the target perception measurement result.

[0266] Optionally, the second acquisition module is configured to perform at least one of the following:

[0267] Select the perception measurement result that satisfies the first threshold information as the target perception measurement result;

[0268] The relationship between the perception measurement result and the first threshold information is used as the target perception measurement result;

[0269] If the perception measurement result satisfies the first threshold information, the difference between the perception measurement result and the first threshold information is taken as the target perception measurement result.

[0270] If the sensing measurement result satisfies the first threshold information, the target information obtained based on the time-frequency domain channel matrix will be used as the target sensing measurement result.

[0271] The target information includes at least one of the following:

[0272] Doppler information of the target object;

[0273] The speed of the target object;

[0274] The coordinates of the target object;

[0275] The distance between the target object and the signal transceiver;

[0276] The angle between the target object and the signal transceiver;

[0277] The time delay information from the transmission to the reception of the first signal.

[0278] Optionally, the device further includes:

[0279] The reporting module is used to report the target perception measurement results or the quantization results of the target perception measurement results to the second device.

[0280] Optionally, the target perception measurement result further includes:

[0281] The time when the first device receives the first signal;

[0282] The time when the first device obtains the sensing measurement result or the time when the first device obtains the target sensing measurement result;

[0283] The time unit information corresponding to the first signal.

[0284] Optionally, the device further includes:

[0285] A first receiving module is configured to receive first indication information before a first acquiring module obtains at least one sensing measurement result based on at least one feature value of a first matrix. The first indication information is used to indicate at least one of the following:

[0286] The sensing demand information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix;

[0287] The sensed measurement quantity corresponds to the sensed measurement result;

[0288] First threshold information;

[0289] Configuration information for the first signal;

[0290] Information related to the time-frequency domain channel matrix.

[0291] Optionally, the device further includes:

[0292] The second receiving module is used to receive second indication information after the reporting module reports the target perception measurement result or the quantization result of the target perception measurement result to the second device. The second indication information is sent when the target perception measurement result meets the first threshold information. The second indication information is used to adjust the target parameters in the first indication information.

[0293] Optionally, the target parameter includes at least one of the following:

[0294] The perceived demand information;

[0295] The sensed measurement quantity;

[0296] Configuration information of the first signal;

[0297] The relevant information of the time-frequency domain channel matrix.

[0298] Optionally, the relevant information of the time-frequency domain channel matrix includes at least one of the following:

[0299] Time-domain computation window information;

[0300] Frequency domain calculation window information;

[0301] The sliding step size of the time-domain calculation window for the time-frequency domain channel matrix;

[0302] Information indicating the element type of the time-frequency domain channel matrix.

[0303] In this embodiment of the application, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; decomposes the eigenvalues ​​of the covariance matrix or correlation coefficient matrix; and obtains the target perception measurement result based on the decomposed eigenvalues. Then, based on the target perception measurement result, the location, speed and other information of the target object in the target environment can be obtained, thereby realizing wireless perception functions in scenarios such as intrusion detection and trajectory tracking.

[0304] like Figure 6 As shown, this application embodiment also provides a sensing device 600, applied to a second device, the device comprising:

[0305] The third acquisition module 601 is used to acquire target perception measurement results;

[0306] Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

[0307] Optionally, the apparatus in this application embodiment further includes:

[0308] The first sending module is configured to send first indication information before the third acquisition module acquires the target perception measurement result, wherein the first indication information is used to indicate at least one of the following:

[0309] The sensing demand information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix;

[0310] The sensed measurement quantity corresponds to the sensed measurement result;

[0311] First threshold information;

[0312] Configuration information for the first signal;

[0313] Information related to the time-frequency domain channel matrix.

[0314] Optionally, the apparatus in this application embodiment further includes:

[0315] The second sending module is used to send second indication information after the third acquisition module acquires the target perception measurement result, provided that the target perception measurement result meets the first threshold information. The second indication information is used to adjust the target parameters in the first indication information.

[0316] Optionally, the target parameter includes at least one of the following:

[0317] The perceived demand information;

[0318] The sensed measurement quantity;

[0319] Configuration information of the first signal;

[0320] The relevant information of the time-frequency domain channel matrix.

[0321] Optionally, the relevant information of the time-frequency domain channel matrix includes at least one of the following:

[0322] Time-domain computation window information;

[0323] Frequency domain calculation window information;

[0324] The sliding step size of the time-domain calculation window for the time-frequency domain channel matrix;

[0325] Information indicating the element type of the time-frequency domain channel matrix.

[0326] Optionally, the target perception measurement result includes at least one of the following:

[0327] The perception measurement results that satisfy the first threshold information;

[0328] The relationship between the sensing measurement results and the first threshold information;

[0329] The difference between the perceived measurement result that satisfies the first threshold information and the first threshold information;

[0330] The target information obtained from the time-frequency domain channel matrix is ​​reported when the sensing measurement results meet the first threshold information.

[0331] The target information includes at least one of the following:

[0332] Doppler information of the target object;

[0333] The speed of the target object;

[0334] The coordinates of the target object;

[0335] The distance between the target object and the signal transceiver;

[0336] The angle between the target object and the signal transceiver;

[0337] The time delay information from the transmission to the reception of the first signal.

[0338] In this embodiment, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; decomposes the eigenvalues ​​of the covariance matrix or correlation coefficient matrix; and based on the decomposed eigenvalues, obtains the target perception measurement result and reports it to the second device, so that the second device can obtain information such as the position and speed of the target object in the target environment by analyzing the eigenvalues, thereby realizing wireless perception functions in scenarios such as intrusion detection and trajectory tracking.

[0339] The sensing device in this application embodiment can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or other devices besides a terminal. For example, the terminal can include, but is not limited to, the type of terminal 11 listed above; other devices can be servers, network attached storage (NAS), etc., and this application embodiment does not specifically limit the types.

[0340] The sensing device provided in this application embodiment can achieve... Figures 2 to 3 The various processes implemented in the method embodiments achieve the same technical effect, and will not be described again here to avoid repetition.

[0341] Optional, such as Figure 7As shown, this application embodiment also provides a communication device 700, including a processor 701 and a memory 702. The memory 702 stores a program or instructions that can run on the processor 701. For example, when the communication device 700 is a first device, when the program or instructions are executed by the processor 701, they implement the various steps of the method embodiment on the first device side described above, and achieve the same technical effect. When the communication device 700 is a second device, when the program or instructions are executed by the processor 701, they implement the various steps of the method embodiment on the second device side described above, and achieve the same technical effect. To avoid repetition, this will not be repeated here.

[0342] This application embodiment also provides a first device, including a processor and a communication interface. The processor is used to obtain at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix; and to obtain a target sensing measurement result based on the at least one sensing measurement result. The at least one first matrix is ​​obtained based on a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on a received first signal. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. This embodiment corresponds to the above-described first device-side method embodiment. All implementation processes and methods of the above method embodiments can be applied to this embodiment and can achieve the same technical effect.

[0343] This application embodiment also provides a second device, including a processor and a communication interface, the communication interface being used to acquire target perception measurement results;

[0344] The target sensing measurement result is obtained by the first device based on at least one sensing measurement result. This sensing measurement result is obtained based on the eigenvalues ​​of a first matrix, which is either a covariance matrix or a correlation coefficient matrix corresponding to a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information about the frequency-frequency channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information about the frequency-frequency channel response is obtained by the first device performing channel estimation on the received first signal. This second device embodiment corresponds to the method embodiment described above. All implementation processes and methods of the above method embodiment can be applied to this second device embodiment and achieve the same technical effect.

[0345] Specifically, Figure 8 A schematic diagram of the hardware structure of the first device or the second device (specifically a terminal) to implement the embodiments of this application.

[0346] The terminal 800 includes, but is not limited to, at least some of the following components: radio frequency unit 801, network module 802, audio output unit 803, input unit 804, sensor 805, display unit 806, user input unit 807, interface unit 808, memory 809, and processor 810.

[0347] Those skilled in the art will understand that the terminal 800 may also include a power supply (such as a battery) for supplying power to various components. The power supply may be logically connected to the processor 810 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 8 The terminal structure shown 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.

[0348] It should be understood that, in this embodiment, the input unit 804 may include a graphics processing unit (GPU) 8041 and a microphone 8042. The GPU 8041 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 806 may include a display panel 8061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, or the like. The user input unit 807 includes at least one of a touch panel 8071 and other input devices 8072. The touch panel 8071 is also called a touch screen. The touch panel 8071 may include a touch detection device and a touch controller. Other input devices 8072 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.

[0349] In this embodiment, after receiving downlink data from the network-side device, the radio frequency unit 801 can transmit it to the processor 810 for processing; in addition, the radio frequency unit 801 can send uplink data to the network-side device. Typically, the radio frequency unit 801 includes, but is not limited to, antennas, amplifiers, transceivers, couplers, low-noise amplifiers, duplexers, etc.

[0350] The memory 809 can be used to store software programs or instructions, as well as various data. The memory 809 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 809 may include volatile memory or non-volatile memory, or both. 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 809 in the embodiments of this application includes, but is not limited to, these and any other suitable types of memory.

[0351] Processor 810 may include one or more processing units; optionally, processor 810 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 810.

[0352] In one embodiment of this application, the processor 810 is configured to obtain at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix, wherein the at least one first matrix is ​​obtained based on a time-frequency domain channel matrix, the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each time-frequency domain channel matrix corresponds to an antenna transceiver combination, the relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal, and the first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; and to obtain a target sensing measurement result based on the at least one sensing measurement result.

[0353] Optionally, the first matrix includes at least one of the following:

[0354] The frequency domain covariance matrix corresponding to the time-frequency domain channel matrix;

[0355] The frequency domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix;

[0356] The time-domain covariance matrix corresponding to the time-frequency domain channel matrix;

[0357] The time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

[0358] Optionally, the processor 810 is configured to obtain at least one perception measurement result based on at least one of the maximum eigenvalue, all eigenvalues, and target eigenvalue of the first matrix, wherein the target eigenvalue is the largest eigenvalue among all eigenvalues ​​of the first matrix after removing the maximum eigenvalue.

[0359] Optionally, the processor 810 is configured to obtain at least one perception measurement result based on the weighted combined value of the maximum eigenvalue of the first matrix and the target eigenvalue; or,

[0360] At least one perceptual measurement result is obtained based on the ratio between the largest eigenvalue of the first matrix and the sum of all eigenvalues ​​of the first matrix; or,

[0361] At least one perceptual measurement result is obtained based on the ratio between the weighted combined value of the largest eigenvalue and the target eigenvalue of the first matrix and the sum of all eigenvalues; or,

[0362] At least one perception measurement result is obtained by subtracting a preset threshold from the ratio between the sum of all eigenvalues ​​of the first matrix and the largest eigenvalue.

[0363] Optionally, each element in the time-frequency domain channel matrix includes one of the following:

[0364] The original complex value of the frequency domain channel response corresponding to the antenna transceiver combination;

[0365] The amplitude of the frequency domain channel response corresponding to the antenna transceiver combination;

[0366] The phase of the frequency domain channel response corresponding to the antenna transceiver combination;

[0367] At least one of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination;

[0368] The weighted combined value of amplitude and phase of the frequency domain channel response corresponding to the antenna transceiver combination;

[0369] The weighted sum of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination;

[0370] The original complex value of the first result, which is the quotient or conjugate product of the frequency domain channel response corresponding to the first antenna transceiver combination and the second antenna transceiver combination.

[0371] The magnitude of the first result;

[0372] The phase of the first result;

[0373] At least one of the I-path and Q-path data of the first result;

[0374] The weighted combined value of the amplitude and phase of the first result;

[0375] The weighted combined value of the I-path data and Q-path data of the first result.

[0376] Optionally, the processor 810 is configured to perform weighted merging processing on the feature values ​​in at least two first matrices to obtain the perception measurement result.

[0377] Optionally, the processor 810 is configured to use at least one of the perception measurement results as a target perception measurement result;

[0378] Alternatively, the first device performs weighted merging of at least two sensing measurement results to obtain the target sensing measurement result.

[0379] Optionally, the processor 810 is configured to perform at least one of the following:

[0380] Select the perception measurement result that satisfies the first threshold information as the target perception measurement result;

[0381] The relationship between the perception measurement result and the first threshold information is used as the target perception measurement result;

[0382] If the perception measurement result satisfies the first threshold information, the difference between the perception measurement result and the first threshold information is taken as the target perception measurement result.

[0383] If the sensing measurement result satisfies the first threshold information, the target information obtained based on the time-frequency domain channel matrix will be used as the target sensing measurement result.

[0384] The target information includes at least one of the following:

[0385] Doppler information of the target object;

[0386] The speed of the target object;

[0387] The coordinates of the target object;

[0388] The distance between the target object and the signal transceiver;

[0389] The angle between the target object and the signal transceiver;

[0390] The time delay information from the transmission to the reception of the first signal.

[0391] Optionally, the radio frequency unit 801 is used for:

[0392] The target perception measurement results or the quantized results of the target perception measurement results are reported to the second device.

[0393] Optionally, the target perception measurement result further includes:

[0394] The time when the first device receives the first signal;

[0395] The time when the first device obtains the sensing measurement result or the time when the first device obtains the target sensing measurement result;

[0396] The time unit information corresponding to the first signal.

[0397] Optionally, the radio frequency unit 801 is also used for:

[0398] Receive first indication information, the first indication information being used to indicate at least one of the following:

[0399] The sensing demand information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix;

[0400] The sensed measurement quantity corresponds to the sensed measurement result;

[0401] First threshold information;

[0402] Configuration information for the first signal;

[0403] Information related to the time-frequency domain channel matrix.

[0404] Optionally, the radio frequency unit 801 is also used for:

[0405] Receive second indication information, which is sent when the target perception measurement result meets the first threshold information, and the second indication information is used to adjust the target parameters in the first indication information.

[0406] Optionally, the target parameter includes at least one of the following:

[0407] The perceived demand information;

[0408] The sensed measurement quantity;

[0409] Configuration information of the first signal;

[0410] The relevant information of the time-frequency domain channel matrix.

[0411] Optionally, the relevant information of the time-frequency domain channel matrix includes at least one of the following:

[0412] Time-domain computation window information;

[0413] Frequency domain calculation window information;

[0414] The sliding step size of the time-domain calculation window for the time-frequency domain channel matrix;

[0415] Information indicating the element type of the time-frequency domain channel matrix.

[0416] In another embodiment of this application, the radio frequency unit 801 is used to acquire target sensing measurement results;

[0417] Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

[0418] Optionally, the radio frequency unit 801 is further configured to:

[0419] Send a first indication message, the first indication message being used to indicate at least one of the following:

[0420] The sensing demand information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix;

[0421] The sensed measurement quantity corresponds to the sensed measurement result;

[0422] First threshold information;

[0423] Configuration information for the first signal;

[0424] Information related to the time-frequency domain channel matrix.

[0425] Optionally, the radio frequency unit 801 is further configured to send second indication information when the target perception measurement result meets the first threshold information, wherein the second indication information is used to adjust the target parameters in the first indication information.

[0426] Optionally, the target parameter includes at least one of the following:

[0427] The perceived demand information;

[0428] The sensed measurement quantity;

[0429] Configuration information of the first signal;

[0430] The relevant information of the time-frequency domain channel matrix.

[0431] Optionally, the relevant information of the time-frequency domain channel matrix includes at least one of the following:

[0432] Time-domain computation window information;

[0433] Frequency domain calculation window information;

[0434] The sliding step size of the time-domain calculation window for the time-frequency domain channel matrix;

[0435] Information indicating the element type of the time-frequency domain channel matrix.

[0436] Optionally, the reported information includes at least one of the following:

[0437] The perception measurement results that satisfy the first threshold information;

[0438] The relationship between the sensing measurement results and the first threshold information;

[0439] The difference between the perceived measurement result that satisfies the first threshold information and the first threshold information;

[0440] The target information obtained from the time-frequency domain channel matrix is ​​reported when the sensing measurement results meet the first threshold information.

[0441] The target information includes at least one of the following:

[0442] Doppler information of the target object;

[0443] The speed of the target object;

[0444] The coordinates of the target object;

[0445] The distance between the target object and the signal transceiver;

[0446] The angle between the target object and the signal transceiver;

[0447] The time delay information from the transmission to the reception of the first signal.

[0448] In this embodiment of the application, the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; decomposes the eigenvalues ​​of the covariance matrix or correlation coefficient matrix; and obtains the target perception measurement result based on the decomposed eigenvalues. Then, based on the target perception measurement result, the location, speed and other information of the target object in the target environment can be obtained, thereby realizing wireless perception functions in scenarios such as intrusion detection and trajectory tracking.

[0449] Specifically, embodiments of this application also provide a network-side device (which may be a first device or a second device). For example... Figure 9 As shown, the network-side device 900 includes: an antenna 91, a radio frequency (RF) device 92, a baseband device 93, a processor 94, and a memory 95. The antenna 91 is connected to the RF device 92. In the uplink direction, the RF device 92 receives information through the antenna 91 and transmits the received information to the baseband device 93 for processing. In the downlink direction, the baseband device 93 processes the information to be transmitted and sends it to the RF device 92. The RF device 92 processes the received information and transmits it through the antenna 91.

[0450] The method executed by the first or second device in the above embodiments can be implemented in the baseband device 93, which includes a baseband processor.

[0451] Baseband device 93 may include, for example, at least one baseband board on which multiple chips are disposed, such as Figure 9 As shown, one of the chips is, for example, a baseband processor, which is connected to the memory 95 via a bus interface to call the program in the memory 95 and execute the network device operations shown in the above method embodiment.

[0452] The network-side device may also include a network interface 96, such as a common public radio interface (CPRI).

[0453] Specifically, the network-side device 900 of this embodiment further includes: instructions or programs stored in a memory 95 and executable on a processor 94, wherein the processor 94 calls the instructions or programs in the memory 95 to execute. Figure 5 or Figure 6 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0454] Specifically, embodiments of this application also provide a network-side device (which may be a first device or a second device). For example... Figure 10 As shown, the network-side device 1000 includes a processor 1001, a network interface 1002, and a memory 1003. The network interface 1002 is, for example, a common public radio interface (CPRI).

[0455] Specifically, the network-side device 1000 of this embodiment further includes: instructions or programs stored in a memory 1003 and executable on a processor 1001, wherein the processor 1001 calls the instructions or programs in the memory 1003 to execute. Figure 5 or Figure 6 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0456] 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 sensing method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0457] The processor 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.

[0458] 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 sensing method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0459] 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.

[0460] This application also provides a computer program / program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above-described sensing method embodiments, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0461] This application also provides a sensing system, including a first device and a second device. The first device can be used to perform the steps of the sensing method on the first device side as described above, and the second device can be used to perform the steps of the sensing method on the second device side as described above.

[0462] 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.

[0463] Through 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 software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0464] 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 forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A sensing method, characterized in that, include: The first device obtains at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix. The at least one first matrix is ​​obtained based on a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The first device obtains the target perception measurement result based on the at least one perception measurement result.

2. The method according to claim 1, characterized in that, The first matrix includes at least one of the following: The frequency domain covariance matrix corresponding to the time-frequency domain channel matrix; The frequency domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The time-domain covariance matrix corresponding to the time-frequency domain channel matrix; The time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix.

3. The method according to claim 1, characterized in that, The first device obtains at least one sensing measurement result based on at least one feature value of a first matrix, including: At least one perceptual measurement result is obtained based on at least one of the maximum eigenvalue, all eigenvalues ​​and target eigenvalue of the first matrix, wherein the target eigenvalue is the largest eigenvalue among all eigenvalues ​​of the first matrix after removing the maximum eigenvalue.

4. The method according to claim 3, characterized in that, The step of obtaining at least one perception measurement result based on at least one of the largest eigenvalue, all eigenvalues, and target eigenvalue of the first matrix includes: Based on the weighted combined value of the largest eigenvalue of the first matrix and the target eigenvalue, at least one perception measurement result is obtained; or, At least one perceptual measurement result is obtained based on the ratio between the largest eigenvalue of the first matrix and the sum of all eigenvalues ​​of the first matrix; or, At least one perceptual measurement result is obtained based on the ratio between the weighted combined value of the largest eigenvalue and the target eigenvalue of the first matrix and the sum of all eigenvalues; or, At least one perception measurement result is obtained by subtracting a preset threshold from the ratio between the sum of all eigenvalues ​​of the first matrix and the largest eigenvalue.

5. The method according to claim 1, characterized in that, Each element in the time-frequency domain channel matrix includes one of the following: The original complex value of the frequency domain channel response corresponding to the antenna transceiver combination; The amplitude of the frequency domain channel response corresponding to the antenna transceiver combination; The phase of the frequency domain channel response corresponding to the antenna transceiver combination; At least one of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination; The weighted combined value of amplitude and phase of the frequency domain channel response corresponding to the antenna transceiver combination; The weighted sum of the I-channel and Q-channel data of the frequency domain channel response corresponding to the antenna transceiver combination; The original complex value of the first result, which is the quotient or conjugate product of the frequency domain channel response corresponding to the first antenna transceiver combination and the second antenna transceiver combination. The magnitude of the first result; The phase of the first result; At least one of the I-path and Q-path data of the first result; The weighted combined value of the amplitude and phase of the first result; The weighted combined value of the I-path data and Q-path data of the first result.

6. The method according to claim 1, characterized in that, The first device obtains at least one sensing measurement result based on at least one feature value of a first matrix, including: The eigenvalues ​​in at least two first matrices are weighted and merged to obtain the perception measurement results.

7. The method according to claim 1, characterized in that, The first device obtains a target perception measurement result based on the at least one perception measurement result, including: The first device uses at least one of the aforementioned sensing measurement results as the target sensing measurement result; Alternatively, the first device performs weighted merging of at least two sensing measurement results to obtain the target sensing measurement result.

8. The method according to claim 1, characterized in that, The first device obtains a target perception measurement result based on the at least one perception measurement result, including at least one of the following: Select the perception measurement result that satisfies the first threshold information as the target perception measurement result; The relationship between the perception measurement result and the first threshold information is used as the target perception measurement result; If the perception measurement result satisfies the first threshold information, the difference between the perception measurement result and the first threshold information is taken as the target perception measurement result. If the sensing measurement result satisfies the first threshold information, the target information obtained based on the time-frequency domain channel matrix will be used as the target sensing measurement result. The target information includes at least one of the following: Doppler information of the target object; The speed of the target object; The coordinates of the target object; The distance between the target object and the signal transceiver; The angle between the target object and the signal transceiver; The time delay information from the transmission to the reception of the first signal.

9. The method according to any one of claims 1 to 8, characterized in that, Also includes: The first device reports the target perception measurement result or the quantized result of the target perception measurement result to the second device.

10. The method according to claim 9, characterized in that, The target perception measurement results also include: The time when the first device receives the first signal; The time when the first device obtains the sensing measurement result or the time when the first device obtains the target sensing measurement result; The time unit information corresponding to the first signal.

11. The method according to claim 9, characterized in that, Before the first device obtains at least one sensing measurement result based on at least one feature value of a first matrix, it further includes: Receive first indication information, the first indication information being used to indicate at least one of the following: The sensing demand information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix; The sensed measurement quantity corresponds to the sensed measurement result; First threshold information; Configuration information for the first signal; Information related to the time-frequency domain channel matrix.

12. The method according to claim 11, characterized in that, After the first device reports the target perception measurement result or the quantized result of the target perception measurement result to the second device, it further includes: Receive second indication information, which is sent when the target perception measurement result meets the first threshold information, and the second indication information is used to adjust the target parameters in the first indication information.

13. The method according to claim 12, characterized in that, The target parameter includes at least one of the following: The perceived demand information; The sensed measurement quantity; Configuration information of the first signal; The relevant information of the time-frequency domain channel matrix.

14. The method according to claim 11 or 13, characterized in that, The relevant information of the time-frequency domain channel matrix includes at least one of the following: Time-domain computation window information; Frequency domain calculation window information; The sliding step size of the time-domain calculation window for the time-frequency domain channel matrix; Information indicating the element type of the time-frequency domain channel matrix.

15. A sensing method, characterized in that, include: The second device acquires the target perception measurement results; Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

16. The method according to claim 15, characterized in that, Before the second device acquires the target perception measurement results, it also includes: Send a first indication message, the first indication message being used to indicate at least one of the following: The sensing demand information corresponds to at least one of the following: sensing measurement quantity, first threshold information, configuration information of the first signal, and relevant information of the time-frequency domain channel matrix; The sensed measurement quantity corresponds to the sensed measurement result; First threshold information; Configuration information for the first signal; Information related to the time-frequency domain channel matrix.

17. The method according to claim 16, characterized in that, After the second device acquires the target perception measurement results, the method further includes: If the target perception measurement result meets the first threshold information, a second indication information is sent, which is used to adjust the target parameters in the first indication information.

18. The method according to claim 17, characterized in that, The target parameter includes at least one of the following: The perceived demand information; The sensed measurement quantity; Configuration information of the first signal; The relevant information of the time-frequency domain channel matrix.

19. The method according to claim 16 or 18, characterized in that, The relevant information of the time-frequency domain channel matrix includes at least one of the following: Time-domain computation window information; Frequency domain calculation window information; The sliding step size of the time-domain calculation window for the time-frequency domain channel matrix; Information indicating the element type of the time-frequency domain channel matrix.

20. The method according to claim 15 or 16, characterized in that, The target perception measurement result includes at least one of the following: The perception measurement results that satisfy the first threshold information; The relationship between the sensing measurement results and the first threshold information; The difference between the perceived measurement result that satisfies the first threshold information and the first threshold information; The target information obtained from the time-frequency domain channel matrix is ​​reported when the sensing measurement results meet the first threshold information. The target information includes at least one of the following: Doppler information of the target object; The speed of the target object; The coordinates of the target object; The distance between the target object and the signal transceiver; The angle between the target object and the signal transceiver; The time delay information from the transmission to the reception of the first signal.

21. A sensing device, characterized in that, include: The first acquisition module is used to obtain at least one sensing measurement result based on the eigenvalues ​​of at least one first matrix. The at least one first matrix is ​​obtained based on a time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The second acquisition module is used to obtain the target perception measurement result based on the at least one perception measurement result.

22. A sensing device, characterized in that, include: The third acquisition module is used to acquire target perception measurement results; Wherein, the target perception measurement result is obtained by the first device based on at least one perception measurement result, and the perception measurement result is obtained based on the eigenvalues ​​of the first matrix. The first matrix is ​​the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix. The time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to multiple time-frequency domain sampling points. Each time-frequency domain channel matrix corresponds to an antenna transceiver combination. The relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.

23. A communication device, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that can run on the processor, the program or instructions being executed by the processor to implement the steps of the sensing method as described in any one of claims 1 to 14, or to implement the steps of the sensing method as described in any one of claims 15 to 20.

24. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the sensing method as described in any one of claims 1 to 14, or implement the steps of the sensing method as described in any one of claims 15 to 20.

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