Perception processing method, device and equipment and readable storage medium

Abstract

The invention discloses a perception processing method, device and equipment and a readable storage medium. The method comprises the steps that first equipment acquires a perception performance index of a first signal; the first device determines whether the first device carries out fuzzification processing on a first sensing measurement quantity according to the sensing performance index of the first signal, and the first sensing measurement quantity is obtained by the first device through measuring the first signal or a second signal; or, whether the second device carries out fuzzification processing on a first sensing measurement quantity is determined, and the first sensing measurement quantity is obtained by measuring the first signal or the second signal through the second device.

Description

Technical Field

[0001] This application belongs to the field of communication technologies, and particularly relates to a sensing processing method, apparatus, device, and readable storage medium. Background Art

[0002] Future mobile communication systems, such as Beyond 5th Generation (B5G) mobile communication systems or 6th Generation (6G) mobile communication systems, will have sensing capabilities in addition to communication capabilities. One or more devices with sensing capabilities can sense information such as the orientation, distance, and speed of a target object through the transmission and reception of wireless signals, or detect, track, identify, image, etc. a target object, event, or environment. In the future, with the deployment of small base stations with high-frequency band and large bandwidth capabilities such as millimeter waves and terahertz waves in 6G networks, the sensing resolution will be significantly improved compared to centimeter waves, enabling the 6G network to provide more refined sensing services.

[0003] Some sensing results obtained by wireless sensing, especially high-precision or high-resolution sensing results, are private and pose security risks or information leakage risks. Such wireless sensing results include, but are not limited to, the following aspects:

[0004] 1) The location or trajectory information of the sensing object, such as precise location information, is private;

[0005] 2) The physical characteristics of the sensing object (such as a person), such as body contour characteristics, face information, whether the heartbeat is accelerating, whether the breathing is rapid, etc., are private;

[0006] 3) In terms of health: Information such as a person's blood oxygen, blood pressure, and sleep quality belongs to personal private information;

[0007] 4) Map construction or 3D environment reconstruction: Map information or environment reconstruction information of some sensitive areas or sensitive buildings belongs to private information;

[0008] 5) Radar type: For example, the results of ranging or speed and angle measurement, and the sensing results for certain sensing objects may be private;

[0009] 6) Imaging: For example, the imaging results of some sensing objects are private.

[0010] Therefore, how to protect the privacy of sensing results is an urgent problem to be solved. Summary of the Invention

[0011] Embodiments of this application provide a sensing processing method, apparatus, device, and readable storage medium to solve the problem of how to protect the privacy of sensing results.

[0012] In a first aspect, a perception processing method is provided, including:

[0013] A first device obtains a perception performance index of a first signal;

[0014] The first device determines, according to the perception performance index of the first signal, whether the first device performs fuzzification processing on a first perception measurement quantity, where the first perception measurement quantity is obtained by the first device measuring the first signal or a second signal; or determines whether a second device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0015] In a second aspect, a perception processing method is provided, including:

[0016] A second device sends a perception performance index of a first signal to a first device;

[0017] The second device receives third information sent by the first device, where the third information is used to indicate that the second device performs fuzzification processing on a first perception measurement quantity, and the third information is determined by the first device according to the perception performance index of the first signal, and the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0018] In a third aspect, a perception processing apparatus is provided, including:

[0019] A first transceiver unit for obtaining a perception performance index of a first signal;

[0020] A first processing unit for determining, according to the perception performance index of the first signal, whether the first device performs fuzzification processing on a first perception measurement quantity, where the first perception measurement quantity is obtained by the first device measuring the first signal or a second signal; or determining whether a second device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0021] In a fourth aspect, a perception processing apparatus is provided, including:

[0022] A second transceiver unit for sending a perception performance index of a first signal to a first device;

[0023] The second transceiver unit is further configured to receive third information sent by the first device, where the third information is used to indicate that the second device performs fuzzification processing on a first perception measurement quantity, the third information is determined by the first device according to the perception performance index of the first signal, and the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0024] In a fifth aspect, a terminal is provided, including: a processor, a memory, and a program or instruction stored on the memory and executable on the processor, where when the program or instruction is executed by the processor, the steps of the method described in the first aspect or the second aspect are implemented.

[0025] In a sixth aspect, a network-side device is provided, including: a processor, a memory, and a program or instruction stored on the memory and executable on the processor, where when the program or instruction is executed by the processor, the steps of the method described in the first aspect or the second aspect are implemented.

[0026] In a seventh aspect, a readable storage medium is provided, where a program or instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor of a terminal, the steps of the method described in the first aspect or the second aspect are implemented.

[0027] In an eighth aspect, a chip is provided, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or instruction to implement the steps of the method described in the first aspect or the second aspect.

[0028] In a ninth aspect, a computer program / program product is provided, where the computer program / program product is stored in a non-transitory storage medium, and the program / program product is executed by at least one processor to implement the steps of the method described in the first aspect or the second aspect.

[0029] In a tenth aspect, a communication system is provided, where the communication system includes a terminal and a network-side device, the terminal is configured to execute the steps of the method described in the first aspect or the second aspect, or the network-side device is configured to execute the steps of the method described in the first aspect or the second aspect.

[0030] In an embodiment of the present application, the first device determines whether to perform fuzzification processing on the first perception measurement quantity according to the perception performance index of the first signal, where the first perception measurement quantity is obtained by the first device measuring the first signal or the second signal; or, the first device determines whether the second device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal. While taking into account the perception performance of the first perception measurement quantity, the privacy of the first perception measurement quantity is also protected. Description of the Drawings

[0031] Figure 1 are schematic diagrams of different perception modes of communication perception integration;

[0032] Figure 2 is one of the schematic diagrams of the perception processing method provided by an embodiment of the present application;

[0033] Figure 3 is another schematic diagram of the perception processing method provided by an embodiment of the present application;

[0034] Figure 4 is yet another schematic diagram of the perception processing method provided by an embodiment of the present application;

[0035] Figure 5 is a multipath schematic diagram of the channel response in the first dimension

[0036] Figure 6 is one of the schematic diagrams of the perception processing device provided by an embodiment of the present application;

[0037] Figure 7 is a schematic diagram of the terminal provided by an embodiment of the present application;

[0038] Figure 8 is a schematic diagram of the network-side device provided by an embodiment of the present application;

[0039] Figure 9 is a schematic diagram of the communication device provided by an embodiment of the present application;

[0040] Figure 10 is a fourth schematic diagram of the perception processing method provided by an embodiment of the present application;

[0041] Figure 11 is another schematic diagram of the perception processing device provided by an embodiment of the present application. Detailed Embodiments

[0042] The following will clearly describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of the present application.

[0043] The terms "first", "second", etc. in the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such terms can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are usually of the same type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "or" in the present application means at least one of the connected objects. For example, "A or B" covers three scenarios, namely, Scenario 1: including A and not including B; Scenario 2: including B and not including A; Scenario 3: including both A and B. The character " / " generally indicates an "or" relationship between the associated objects before and after.

[0044] It is worth noting that the technology described in the embodiments of the present application is not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, and can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA), or other systems. The terms "system" and "network" in the present application are often used interchangeably, and the described technology can be used in the systems and radio technologies mentioned above, as well as in other systems and radio technologies. The following description describes the New Radio (NR) system for example purposes, and the NR term is used in most of the following descriptions, but these technologies can also be applied to systems other than NR system applications, such as the 6th Generation (6G) communication system. th Generation, 6G) communication system.

[0045] To facilitate the understanding of the embodiments of the present application, the following technical points are introduced first:

[0046] I. Regarding communication and sensing integration

[0047] In the future, mobile communication systems such as the Beyond 5th Generation (B5G) mobile communication system or the 6th Generation (6G) mobile communication system will not only have communication capabilities but also sensing capabilities. The sensing capabilities mean that one or more devices with sensing capabilities can sense information such as the orientation, distance, and speed of target objects through the transmission and reception of wireless signals, or detect, track, identify, image, etc. target objects, events, or environments. In the future, with the deployment of small base stations with high-frequency band and large bandwidth capabilities such as millimeter waves and terahertz in the 6G network, the sensing resolution will be significantly improved compared to centimeter waves, enabling the 6G network to provide more refined sensing services. Typical sensing functions and application scenarios are shown in Table 1.

[0048]

[0049] Table 1: Typical sensing functions and application scenarios.

[0050] Communication and sensing integration (abbreviated as communication-sensing integration) means that in the same system, through spectrum sharing and hardware sharing, the integrated design of communication and sensing functions is realized. While the system is transmitting information, it can sense information such as orientation, distance, and speed, detect, track, and identify target devices or events. The communication system and the sensing system complement each other, achieving an improvement in overall performance and bringing a better service experience.

[0051] The integration of communication and radar is a typical application of communication and sensing integration (communication-sensing fusion). In the past, radar systems and communication systems were strictly separated due to different research objects and focuses, and the two systems were independently studied in most scenarios. In fact, both radar and communication systems are typical ways of information transmission, acquisition, processing, and exchange, and there are many similarities in working principles, system architectures, and frequency bands. The design of the integration of communication and radar has great feasibility, mainly reflected in the following aspects: First, both the communication system and the sensing system are based on the electromagnetic wave theory, using the emission and reception of electromagnetic waves to complete information acquisition and transmission; Second, both the communication system and the sensing system have structures such as antennas, transmitters, receivers, and signal processors, with a large overlap in hardware resources; With the development of technology, there is also an increasing overlap in their working frequency bands; In addition, there are 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, spectrum efficiency improvement, mutual interference reduction, etc., thus improving the overall performance of the system.

[0052] According to the differences between the first signal sending node and the receiving node, it is divided into six basic sensing methods, as Figure 1 shown, specifically including:

[0053] (1) Base station echo sensing. In this sensing method, base station A sends the first signal and performs sensing measurement by receiving the echo of the first signal.

[0054] (2) Air interface sensing between base stations. Base station B receives the first signal sent by base station A and performs sensing measurement.

[0055] (3) Uplink air interface sensing. Base station A receives the first signal sent by terminal A and performs sensing measurement.

[0056] (4) Downlink air interface sensing. Terminal B receives the first signal sent by base station B and performs sensing measurement.

[0057] (5) Terminal echo sensing. Terminal A sends the first signal and performs sensing measurement by receiving the echo of the first signal.

[0058] (6) Sidelink (SL) sensing between terminals. Terminal B receives the first signal sent by terminal A and performs sensing measurement.

[0059] It should be noted that Figure 1 each sensing method takes a first signal sending node and a first signal receiving node as examples. In an actual system, one or more different sensing methods can be selected according to different sensing use cases and sensing requirements, and there can be one or more sending nodes and receiving nodes for each sensing method. Figure 1 The sensing targets in are exemplified by people and vehicles, and it is assumed that neither people nor vehicles carry or install signal receiving or sending devices. The sensing targets in the actual scenario are more diverse.

[0060] Receiving or sending the first signal can support sensing services. For example, by receiving or sending the first signal, sensing measurement quantities or sensing results can be obtained. The sensing result refers to the result that meets the sensing requirements. For example: the shape of the sensing target, 2D or 3D environment reconstruction, spatial position, orientation, displacement, moving speed, acceleration; speed measurement, distance measurement, angle measurement or imaging of the target object in radar-like sensing; the presence or absence of people or objects; actions, gestures, breathing frequency, heart rate, sleep quality, etc. of the sensing target such as people.

[0061] The first signal or the second signal in this application may be a signal that does not contain transmission information, such as existing LTE or New Radio (NR) synchronization and reference signals, including synchronization signals and Synchronization Signal and PBCH block (SSB) signals, Channel State Information-Reference Signal (CSI-RS), Demodulation Reference Signal (DMRS), Sounding Reference Signal (SRS), Positioning Reference Signal (PRS), Phase Tracking Reference Signal (PTRS), etc.; it may also be a single-frequency continuous wave (CW), frequency-modulated continuous wave (FMCW), and ultra-wideband Gaussian pulse commonly used in radar; it may also be a newly designed dedicated signal with good correlation characteristics and low peak-to-average power ratio, or a newly designed integrated communication and sensing signal that not only carries certain information but also has good sensing performance. For example, the new signal is formed by splicing, combining, or superimposing at least one dedicated first signal or dedicated second signal or reference signal and at least one communication signal in the time domain or frequency domain.

[0062] The terminal in this application can be a mobile phone, a tablet personal computer, a laptop computer (also known as a notebook computer), a personal digital assistant (PDA), a handheld computer, a netbook, an ultra-mobile personal computer (UMPC), a mobile Internet device (MID), an augmented reality (AR) or virtual reality (VR) device, a robot, a wearable device, a vehicle-mounted device (VUE), a pedestrian terminal (PUE), a smart home (home devices with wireless communication functions, such as refrigerators, TVs, washing machines, or furniture, etc.), a game console, a personal computer (PC), a teller machine, or a self-service machine, etc. Wearable devices include: smart watches, smart bracelets, smart earphones, smart glasses, smart jewelry (such as smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart ankle chains, etc.), smart wristbands, smart clothing, game consoles, etc. It should be noted that the specific type of the terminal is not limited in the embodiments of this application.

[0063] The network-side device in this application includes an access network device or a core network device.

[0064] The access network device in this application may also be referred to as a radio access network device, radio access network (RAN), radio access network function, or radio access network unit. The access network device may include a base station, a wireless local area network (WLAN) access point (AP), or a wireless fidelity (WiFi) node, etc. The base station may be referred to as Node B (NB), evolved Node B (eNB), next generation Node B (gNB), New Radio Node B (NR Node B), access point, relay base station (RBS), serving base station (SBS), base transceiver station (BTS), radio base station, radio transceiver, basic service set (BSS), extended service set (ESS), home Node B (HNB), home evolved Node B, transmission reception point (TRP), or some other suitable term in the art. 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 the embodiments of this application, only the base station in the NR system is taken as an example for introduction, and the specific type of the base station is not limited.

[0065] The core network devices in this application may include but are not limited to at least one of the following: perception function network element, core network node, core network function, Mobility Management Entity (MME), AMF, LMF, 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 (L-NEF), Binding Support Function (BSF), Application Function (AF), etc. It should be noted that in the embodiments of this application, only the core network devices in the NR system are taken as examples for introduction, and the specific types of core network devices are not limited.

[0066] The Sensing Function network element in this application, which can also be referred to as a sensing network element or sensing function, can be on the Radio Access Network (RAN) side or the core network side. The Sensing Function network element can include radio access network devices or core network devices. The Sensing Function network element can be a network node in the core network or RAN responsible for at least one of the functions such as sensing request processing, sensing resource scheduling, sensing information interaction, and sensing data processing. For example, it can be upgraded based on the Access and Mobility Management Function (AMF) or Location Management Function (LMF) in a 5G network, or it can be other network nodes or newly defined network nodes. Specifically, the functional characteristics of the Sensing Function network element can include at least one of the following:

[0067] (1) Perform target information interaction with a wireless signal transmitting device or a wireless signal measuring device (including the target terminal, or the serving base station of the target terminal, or the base station associated with the target area), where the target information includes a sensing processing request, sensing capabilities, sensing auxiliary data, sensing measurement type, sensing resource configuration information, etc., to obtain the value of the target sensing result or sensing measurement (uplink measurement or downlink measurement) sent by the wireless signal measuring device; where the wireless signal can also be referred to as the first signal.

[0068] (2) Determine the sensing method to be used based on factors such as the type of sensing service, sensing service consumer information, required Quality of Service (QoS) requirement information, sensing capabilities of the wireless signal transmitting device, and sensing capabilities of the wireless signal measuring device. The sensing method can include: base station A transmits and base station B receives, or base station transmits and terminal receives, or base station A transmits and receives by itself, or terminal transmits and base station receives, or terminal transmits and receives by itself, or terminal A transmits and terminal B receives, etc.

[0069] (3) Determine the sensing device for the sensing service based on factors such as the type of sensing service, information of the sensing service consumer, required sensing QoS requirement information, sensing capabilities of the wireless signal transmitting device, and sensing capabilities of the wireless signal measuring device, where the sensing device includes a wireless signal transmitting device or a wireless signal measuring device.

[0070] (4) Manage the overall coordination and scheduling of resources required for the sensing service, such as making corresponding configurations for the sensing resources of the base station or terminal;

[0071] (5) Process the value of the sensing measurement, or perform calculations to obtain the sensing result. Further, verify the sensing result and estimate the sensing accuracy, etc.

[0072] The following will, with reference to the accompanying drawings, elaborate on the perception processing method, apparatus, communication device, and readable storage medium provided by the embodiments of the present application through some embodiments and their application scenarios.

[0073] See Figure 2 , the embodiments of the present application provide a perception processing method, and the specific steps include: Step 201 and Step 202.

[0074] Step 201: The first device obtains the perception performance index of the first signal;

[0075] Step 202: The first device determines whether to perform fuzzification processing on the first perception measurement quantity according to the perception performance index of the first signal, where the first perception measurement quantity is obtained by the first device measuring the first signal or the second signal; or determines whether the second device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0076] In one implementation, the first device measures the first signal to obtain the perception performance index corresponding to the first signal, and the first device determines whether to perform fuzzification processing on the first perception measurement quantity according to the perception performance index.

[0077] In another implementation, the second device measures the first signal to obtain the perception performance index corresponding to the first signal, the second device sends the perception performance index to the first device, and the first device determines whether the second device performs fuzzification processing on the first perception measurement quantity according to the perception performance index. Further, the first device may notify the second device to perform fuzzification processing on the first perception measurement quantity.

[0078] Optionally, the first device may include at least one of a terminal, a radio access network device, or a core network device, and the second device may include at least one of a terminal, a radio access network device, or a core network device.

[0079] In one implementation of the present application, the first signal or the second signal includes at least one of the following: a dedicated signal for perception, a sounding reference signal, a preamble, a channel state information reference signal, a tracking reference signal, a synchronization signal, a data signal, and other signals.

[0080] In one implementation of the present application, the perception performance index includes at least one of the following: a first index, a second index, and a third index. The first index is related to the received power, the second index is related to the interference and noise power, and the third index is related to both the received power and the interference and noise power;

[0081] Among them, the perception performance index includes at least one of the following (1) to (3):

[0082] (1) The first index;

[0083] The first index is the linear average value (unit: W) of the received power of the perceived target associated path in the channel response measured for the target signal on the resource unit carrying the target signal;

[0084] (2) The second index;

[0085] The second index includes at least one of the following (2a) to (2c):

[0086] (2a) The fourth index;

[0087] The fourth index is the sum of the linear average value of the power of the paths other than the perceived target associated path in the channel response of the target signal on the target resource and the linear average value of the interference and noise power of the signals other than the target signal on the first resource, where the first resource is the target resource or other resources other than the target resource; the target resource includes the resource unit carrying the first signal, and the resource unit can be a time-domain resource unit or a frequency-domain resource unit;

[0088] Optionally, the fourth index = total received power - the first index; where the total received power can be expressed as: the linear average value (unit: W) of the total received power on the target resource (including the received power of the signals of the serving cell and non-serving cells, adjacent channel interference, and thermal noise, etc.); or, the total received power = RSSI * K1, K1 is a coefficient, and the measurement resource of RSSI is the target resource or other resources (such as the resources configured by high-layer signaling).

[0089] (2b) The fifth index;

[0090] The fifth index is the linear average value of the interference and noise power of the signals other than the target signal on the second resource, where the second resource is the target resource or other resources other than the target resource;

[0091] Optionally, the fifth index = total received power - the received power of the first signal; where the received power of the first signal is the reference signal receiving power (RSRP) of the first signal.

[0092] (2c) The sixth index;

[0093] The sixth index is the linear average value (unit: W) of the power of the paths other than the perceived target associated path in the channel response of the target signal on the target resource;

[0094] Optionally, the sixth metric = RSRP of the first signal - the first metric;

[0095] (3) The third metric;

[0096] The third metric includes at least one of the following (3a) to (3d):

[0097] (3a) The seventh metric;

[0098] The seventh metric represents the first metric divided by the fourth metric, i.e., the seventh metric = the first metric / the fourth metric;

[0099] (3b) The eighth metric;

[0100] The eighth metric represents the first metric divided by the fifth metric, i.e., the eighth metric = the first metric / the fifth metric;

[0101] (3c) The ninth metric;

[0102] The ninth metric represents the first metric divided by the sixth metric, i.e., the ninth metric = the first metric / the sixth metric;

[0103] (3d) The tenth metric;

[0104] The tenth metric represents the first metric divided by the first received power and then multiplied by a preset first coefficient. The first received power represents the total received power on the target resource, or the first received power represents the product of the Received Signal Strength Indication (RSSI) and a preset second coefficient. The measurement resource of the RSSI is the target resource or other resources, i.e., the tenth metric = K2 * the first metric / the total received power, where K2 is a coefficient.

[0105] In an implementation manner of the present application, the obtaining method of the perceived target associated path includes:

[0106] The terminal performs channel estimation on the target signal and the received signal corresponding to the target signal to obtain a channel response;

[0107] The terminal transforms the channel response to the first dimension;

[0108] The terminal determines the perceived target associated path among the paths corresponding to the first dimension;

[0109] Wherein, the first dimension includes at least one of the following: time delay dimension; Doppler dimension; azimuth angle dimension; elevation angle dimension.

[0110] In an implementation manner of the present application, in the path corresponding to the first dimension, the terminal determines the perception target associated path, including:

[0111] The terminal selects, in the path corresponding to the first dimension, the path that satisfies the first condition as the perception target associated path;

[0112] Wherein, the first condition includes at least one of the following:

[0113] 1) The first parameter of the path is greater than or equal to the first threshold or within the first interval range;

[0114] 2) The difference between the first parameter of the path and the first parameter of the first-arrival path or the reference path is greater than or equal to the second threshold or within the second interval range;

[0115] 3) The second parameter of the path satisfies the preset modulation rule;

[0116] Wherein, the first parameter includes at least one of the following: amplitude, power, intensity, energy, Doppler, time delay, angle;

[0117] The second parameter includes at least one of the following: amplitude, power, intensity, energy, phase.

[0118] In an implementation manner of the present application, the terminal selects, in the path corresponding to the first dimension, the path that satisfies the second condition as the perception target associated path, including:

[0119] The terminal determines a first path set in the path corresponding to the first dimension, and the third parameter of each path in the first path set is greater than or equal to the third threshold, and the third parameter includes at least one of the following: amplitude, power, intensity, energy;

[0120] The terminal determines, in the first path set, the path that satisfies the first condition as the perception target associated path.

[0121] In an implementation manner of the present application, the calculation method of the first index is as follows:

[0122] The terminal performs channel estimation on the basis of the transmitted first signal (hereinafter represented by X(k)) and the received signal corresponding to the first signal (hereinafter represented by Y(k)) to obtain the channel response, that is, H(k) = Y(k) / X(k), where k = 0, 1, 2,..., K - 1 represents the resource unit index. After the terminal obtains the channel response H(k), it transforms it to the first dimension and determines the perception target associated path in the first dimension. Then, the power of the perception target associated path is calculated as the first index. If the perception target associated path includes multiple paths, the sum of the powers of the multiple paths is calculated as the first index.

[0123] Among them, the first dimension includes at least one of the following: time delay dimension; Doppler dimension; azimuth angle dimension; elevation angle dimension, for example, time delay-Doppler dimension, time delay-Doppler-angle dimension, etc.;

[0124] For example, if H(f) is the channel response, where f = 0, 1, 2, …, N - 1 represents the frequency domain sampling points (such as subcarrier indices), then by performing the inverse Fourier transform on H(f), it can be transformed into the time delay dimension (the first dimension); for another example, if H(f, t) is the channel response, where f = 0, 1, 2, …, N - 1 represents the frequency domain sampling points (such as subcarrier indices) and t = 0, 1, 2, …, M - 1 represents the time domain sampling points (such as OFDM symbol indices), then by performing the inverse Fourier transform along the frequency domain dimension and the Fourier transform along the time domain dimension on H(f, t), it can be transformed into the time delay-Doppler dimension (the first dimension); for another example, if H(f, t, s) is the channel response, where f = 0, 1, 2, …, N - 1 represents the frequency domain sampling points (such as subcarrier indices), t = 0, 1, 2, …, M - 1 represents the time domain sampling points (such as Orthogonal Frequency Division Multiplexing (OFDM) symbol indices), and s = 0, 1, 2, …, P - 1 represents the spatial domain sampling points (antenna indices or port indices), then by performing the inverse Fourier transform along the frequency domain dimension, the Fourier transform along the time domain dimension, and the Fourier transform along the antenna domain dimension on H(f, t, s), it can be transformed into the time delay-Doppler-angle dimension (the first dimension).

[0125] In this application, a method for determining the paths associated with the sensing target (simply referred to as sensing paths) in the channel response measured from the first signal:

[0126] Step 1: Determine the first path set. The paths in the first path set include the paths whose amplitude or power or intensity or energy exceeds a preset threshold among all the paths after the channel response is transformed into the first dimension. (For example Figure 5 in which, paths 0, 1, 2, 3 are the paths in the first path set);

[0127] Optionally, the preset threshold can be set to be higher than the noise threshold or higher than the noise interference threshold.

[0128] It can be understood that the step of determining the first path set is optional, and the paths associated with the sensing target can also be determined only according to Step 2.

[0129] Step 2: Select the paths that meet the first condition from the first path set or from all the paths as the paths associated with the sensing target.

[0130] Optionally, the first condition includes at least one of the following:

[0131] 1) The amplitude, power, intensity, or energy of the path exceeds a preset threshold or lies within a preset range; for example, the preset threshold is 5 times the noise threshold.

[0132] 2) The Doppler of the path exceeds a preset threshold or lies within a preset range.

[0133] 3) The time delay of the path exceeds a preset threshold or lies within a preset range.

[0134] 4) The angle of the path exceeds a preset threshold or lies within a preset range.

[0135] 5) The difference in amplitude, power, intensity, or energy between the path and the first-arrival path (e.g., the Line-of-Sight (LOS) path) or the reference path (e.g., the signal path reflected by a known target (e.g., a Reconfigurable Intelligence Surface (RIS), a Backscatter device, or other known passive targets, etc.)) exceeds a preset threshold or lies within a preset range.

[0136] 6) The Doppler difference between the path and the first-arrival path (e.g., the LOS path) or the reference path (e.g., the signal path reflected by a known target (e.g., a RIS, a Backscatter device, or other known passive targets, etc.)) exceeds a preset threshold or lies within a preset range.

[0137] 7) The time-delay difference between the path and the first-arrival path (e.g., the LOS path) or the reference path (e.g., the signal path reflected by a known target (e.g., a RIS, a Backscatter device, or other known passive targets, etc.)) exceeds a preset threshold or lies within a preset range.

[0138] 8) The angle difference between the path and the first-arrival path (e.g., the LOS path) or the reference path (e.g., the signal path reflected by a known target (e.g., a RIS, a Backscatter device, or other known passive targets, etc.)) exceeds a preset threshold or lies within a preset range.

[0139] 9) The amplitude, power, intensity, energy, or phase of the path satisfies a specific modulation rule, and the specific modulation rule is the modulation rule of a Tag, a backscatter device, or a RIS, that is, the path associated with the sensed target can be the path modulated and reflected by a Tag, a backscatter device, or a RIS.

[0140] It should be noted that the above first conditions can also be based on the results of statistics over a period of time; for example, the proportion of the above indicators (such as Doppler of the path, time delay of the path, etc.) exceeding a preset threshold or falling within a preset range in a preset time window reaches a preset proportion, or the number of times the above indicators (such as Doppler of the path, time delay of the path, etc.) exceed a preset threshold or fall within a preset range in a preset time window reaches a preset number;

[0141] Among them, the preset threshold or the set range is sent by other devices to the receiving device and determined by other devices according to perception prior information or perception requirements. Alternatively, the preset threshold or the set range is determined by the receiving device according to perception prior information or perception requirements.

[0142] Among them, the perception prior information or perception requirements include at least one of the following:

[0143] 1) Perception service or perception service type;

[0144] Optionally, the perception service may include but is not limited to at least one of the following: detecting whether a target exists, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, category division, radar cross-section detection, polarization scattering characteristic detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip reading, gait recognition, expression recognition, face recognition, breathing monitoring, heart rate monitoring, pulse monitoring, humidity or brightness or temperature or atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environment reconstruction, terrain and landform, building or vegetation distribution detection, pedestrian or vehicle flow detection, crowd density, vehicle density detection, etc.; the perception service type may classify multiple different perception services according to certain characteristics, for example, classified into detection-type perception services (such as including intrusion detection, fall detection), parameter estimation-type perception services (distance, angle, speed calculation), recognition-type perception services (action recognition, identity recognition), etc. according to function, and may also be classified according to the perception range (close-range perception, medium-range perception, long-range perception), according to the perception fineness (coarse-grained perception, fine-grained perception, etc.), according to power consumption or energy consumption, according to resource occupancy, etc. If the perception service is breathing monitoring, the corresponding normal breathing frequency can be judged according to the gender and age of a person (for example, male: 13 - 21 times per minute, female: 15 - 20 times per minute; adult: 12 - 20 times per minute, child: about 30 - 40 times per minute), which can be used as perception prior information;

[0145] 2) Perception target area;

[0146] Optionally, the sensed target area includes the position area of the sensed object or the position area where imaging or environmental reconstruction needs to be performed; for example, a preset interval range of the time delay of the sensed target correlation path is determined according to the approximate position or distance of the sensed object.

[0147] 3) Type of sensed object;

[0148] Optionally, the sensed objects are classified according to their possible motion characteristics. Each type of sensed object contains information such as the motion speed range, motion acceleration range, and typical RCS range of typical sensed objects.

[0149] 4) Number of sensed targets;

[0150] Optionally, as a kind of sensed prior information, the camera sensing result can be used to obtain the number of sensed targets.

[0151] For example, Figure 5 The medium diameters 0, 1, 2, and 3 are the paths in the first path set. Among them, the paths 2 and 3 are the sensed paths that meet the first condition (for example, their time delays meet the preset threshold), and the paths 0 and 1 are the paths associated with other scatterers. Figure 5 The horizontal axis in the figure is the first dimension, and the vertical axis is the normalized amplitude or power or intensity or energy.

[0152] For frequency range 1, the reference point of the first metric can be the antenna connector of a receiving device such as a terminal. For frequency range 1, if the receiving device has multiple receiving channels, the first metric measured and reported by the receiving device cannot be lower than the metric of any single receiving channel. For frequency range 2, the first metric measured by a certain receiving channel needs to be obtained by measuring the combined signals on multiple antenna elements corresponding to this receiving channel.

[0153] In another embodiment of the present application, the calculation method of the first metric is as follows:

[0154] Optionally, when calculating the received power of the sensed target correlation path, it can also be the difference between the power of the sensed target correlation path in the first dimension and as the first metric, where N1 represents the number of paths associated with the sensed target. is the average power of multiple paths outside the first path set in the first dimension.

[0155] In one embodiment of the present application, the calculation method of the received power of the first signal is as follows:

[0156] The received power of the first signal can be that after the receiving device obtains the channel response H(k), it transforms it to the first dimension, determines the first path set in the first dimension, and then calculates the sum of the powers of all the paths in the first path set.

[0157] In another embodiment of the present application, the calculation method of the received power of the first signal is as follows:

[0158] The received power of the first signal can also be the difference between the sum of the powers of all the paths in the first path set in the first dimension and where N2 represents the number of paths in the first path set.

[0159] Optionally, the calculation method of the total received power: the total received power

[0160] In one embodiment of the present application, the calculation method of the third indicator:

[0161] The channel response H(k) is subjected to the first filtering process to obtain H filter1 (k), and then the received signal Y filter1 after the first filtering process is calculated according to H filter1 (k) and the first signal X(k), that is, Y filter1 (k) = H filter1 (k)X(k). Then the received signal Y(k) is subtracted from the received signal Y filter1 (k) after the first filtering process to obtain the interference and noise signal y σ1 (k), that is, Y σ1 (k) = Y(k) - Y filter1 (k), and then the third indicator is calculated

[0162] wherein, the first filtering process is used to eliminate the noise and interference in the first dimension and the paths not associated with the perceived target. For example, the first filtering process sets Figure 5 the amplitude or power or intensity or energy of the paths other than the paths associated with the perceived target to zero. The channel response H filter1 (k) after the first filtering process does not contain noise and interference and the paths not associated with the perceived target, and only contains the paths associated with the perceived target.

[0163] In one embodiment of the present application, the calculation method of the fourth indicator is as follows:

[0164] The channel response H(k) is subjected to the second filtering process to obtain H filter2 (k), and then the received signal Y filter2 after the second filtering process is calculated according to Hfilter2 (k), that is, Y filter2 (k) = H filter2 (k)X(k). Then subtract the received signal Y filter2 (k) after the second filtering process from the received signal Y(k) to obtain the interference and noise signal Y σ2 (k), that is, Y σ2 (k) = Y(k) - Y filter2 ((k), and then calculate to obtain the fourth index

[0165] The second filtering process can be a noise interference suppression process in the first dimension (for example Figure 5 setting the amplitude or power or intensity or energy of other paths except the first path set to zero), or a Minimum Mean Square Error (MMSE) filter. The channel response H filter2 (k) after the second filtering process does not contain noise and interference, and only contains the paths in the first path set.

[0166] In another implementation manner of the present application, the calculation method of the fourth index is as follows:

[0167] Calculate the fourth index P according to the average power of multiple paths outside the first path set in the first dimension σ2 , that is where N represents the number of sampling points in the first dimension.

[0168] If the receiving device determines multiple sensing targets, or the receiving device obtains the number of sensing targets according to sensing prior information or sensing requirements, there are the following several methods:

[0169] Method 1: Calculate the sensing performance indexes of each sensing target respectively. For example, in Figure 5 determine the paths associated with each sensing target respectively, and then calculate the respective sensing performance indexes corresponding to each sensing target; when calculating the third index corresponding to a certain sensing target (such as sensing target A) at this time, there are two methods: that is, the third index of sensing target A = total received power - the first index of sensing target A; or, the third index of sensing target A = total received power - the first index of sensing target A - the first index of sensing target B; (assuming there are two sensing targets in total: A and B); similarly, there are also two calculation methods for the fifth index: the fifth index of sensing target A = RSRP of the first signal - the first index of sensing target A; or, the fifth index of sensing target A = RSRP of the first signal - the first index of sensing target A - the first index of sensing target B; (assuming there are two sensing targets in total: A and B).

[0170] Method 2: Calculate a sensing performance metric for multiple sensing targets. For example, in Figure 5 determine the paths associated with any sensing target, and then use these paths as the paths associated with the sensing target; it is equivalent to treating multiple sensing targets as a virtual sensing target, and then calculating the sensing performance metric corresponding to the virtual sensing target.

[0171] In an embodiment of the present application, the first device obtains the sensing performance metric of the first signal, including:

[0172] The first device measures the first signal to obtain the sensing performance metric of the first signal.

[0173] In an embodiment of the present application, the first device determines whether to perform fuzzification processing on the first sensing measurement according to the sensing performance metric of the first signal, including:

[0174] The first device determines whether to perform fuzzification processing on the first sensing measurement according to the sensing performance metric of the first signal and the first information;

[0175] wherein, the first information is used to indicate the first preset threshold or the first preset interval of the sensing performance metric that requires fuzzification processing.

[0176] For example, when the sensing performance metric of the first signal is greater than or equal to the first preset threshold of the sensing performance metric, it is determined that the first device performs fuzzification processing on the first sensing measurement.

[0177] For another example, when the sensing performance metric of the first signal is within the first preset interval of the sensing performance metric, it is determined that the first device performs fuzzification processing on the first sensing measurement.

[0178] For another example, when the sensing performance metric of the first signal is outside the first preset interval of the sensing performance metric, it is determined that the first device performs fuzzification processing on the first sensing measurement.

[0179] It can be understood that in this embodiment, the specific values of the first preset threshold or the first preset interval of the sensing performance metric that requires fuzzification processing are not limited.

[0180] In an embodiment of the present application, if it is determined that the first device performs fuzzification processing on the first sensing measurement, the method further includes:

[0181] The first device performs fuzzification processing on the first sensing measurement.

[0182] In an embodiment of the present application, the method further includes:

[0183] The first device sends the first perception measurement quantity after fuzzification processing to the second device;

[0184] Or,

[0185] The first device sends the second perception measurement quantity obtained according to the first perception measurement quantity after fuzzification processing to the second device.

[0186] In an implementation manner of the present application, the first device obtains the perception performance index of the first signal, including:

[0187] The first device receives the perception performance index of the first signal from the second device, and the perception performance index of the first signal is measured by the second device for the first signal.

[0188] In an implementation manner of the present application, the first device determines whether the second device performs fuzzification processing on the first perception measurement quantity according to the perception performance index of the first signal, including:

[0189] The first device determines whether the second device performs fuzzification processing on the first perception measurement quantity according to the perception performance index of the first signal and the second information;

[0190] Wherein, the second information is used to indicate a second preset threshold or a second preset interval of the perception performance index that requires fuzzification processing.

[0191] For example, when the perception performance index of the first signal is greater than or equal to the second preset threshold of the perception performance index, it is determined that the second device performs fuzzification processing on the first perception measurement quantity.

[0192] For another example, when the perception performance index of the first signal is within the second preset interval of the perception performance index, it is determined that the second device performs fuzzification processing on the first perception measurement quantity.

[0193] For another example, when the perception performance index of the first signal is outside the second preset interval of the perception performance index, it is determined that the second device performs fuzzification processing on the first perception measurement quantity.

[0194] In an implementation manner of the present application, if it is determined that the second device performs fuzzification processing on the first perception measurement quantity, the method further includes:

[0195] The first device sends the third information to the second device, and the third information is used to indicate that fuzzification processing is performed on the first perception measurement quantity.

[0196] In an implementation manner of the present application, performing fuzzification processing on the first perception measurement quantity includes:

[0197] Performing fuzzification processing on the Nth level first perceptual measurement quantity to obtain the Nth level first perceptual measurement quantity after fuzzification processing, and then obtaining the N+1th level first perceptual measurement quantity according to the Nth level first perceptual measurement quantity after fuzzification processing, where N is an integer greater than or equal to 1;

[0198] For example, a received perception signal or a perception signal channel response (for example, a first-level first perception measurement quantity) is subjected to fuzzification processing, including fuzzification processing of a complex value, an amplitude, a phase, an I-channel data, or a Q-channel data of the received perception signal or the perception signal channel response, and then a second-level first perception measurement quantity including a delay, a Doppler, an angle, a signal strength, etc. is obtained according to the complex value, the amplitude, the phase, the I-channel data, or the Q-channel data of the perception signal or the perception signal channel response after the fuzzification processing;

[0199] or,

[0200] The N-th level first perceptual measurement quantity is fuzzified to obtain the N-th level first perceptual measurement quantity after fuzzification.

[0201] In one embodiment of the present application, the fuzzification processing is associated with a perceptual performance index of the first signal. For example, the higher the perceptual performance index of the first signal, the greater the noise or error added to the first perceptual measurement during the fuzzification processing.

[0202] In one embodiment of the present application, the fuzzification process includes at least one of the following:

[0203] 1) Adding noise to the first perception measurement;

[0204] The noise may include high-frequency noise or low-frequency noise. For example, if the detail component is generally reflected in the high frequency, then if the first requirement is to only display the perceived outline, high-frequency noise may be considered to be added; or, the noise may also include random noise and continuous noise, wherein the continuous noise includes Perlin noise, Worley noise, fractal noise, curl noise, etc.;

[0205] 2) adding an error to the first sensed measurement;

[0206] Optionally, the error includes biased error (random error with a mean value other than 0) or unbiased error (random error with a mean value of 0);

[0207] 3) Partial information removal of the first perception measurement;

[0208] 4) reducing the sampling rate of the first perception measurement;

[0209] For example, reduce the image sampling rate of the result of perceptual imaging, or remove some pixels, or use the average value of M adjacent pixels, where M is an integer greater than or equal to 1;

[0210] 5) Reduce the resolution of the first perceptual measurement quantity;

[0211] For example: divide the measured speed, distance, or angle information into intervals at certain intervals, and replace the first perceptual measurement quantity falling into a certain interval with the upper limit, lower limit, arithmetic mean, or geometric mean of the interval as the input perceptual measurement quantity;

[0212] It should be noted that the first perceptual measurement quantity can be blurred by frequency band, time, or antenna, or the first perceptual measurement quantity can be blurred by coordinates or Heatmap regions (for example, only for coordinate regions with higher privacy requirements).

[0213] In an implementation manner of the present application, before the first device performs blurring processing on the first perceptual measurement quantity, the method further includes:

[0214] The first device receives configuration information for blurring processing.

[0215] Optionally, the configuration information for blurring processing includes at least one of the object of blurring processing, the noise of blurring processing, the noise type, the method of blurring processing, etc.

[0216] In an implementation manner of the present application, the method further includes:

[0217] The first device receives the first perceptual measurement quantity after blurring processing from the second device, that is, the second device performs blurring processing on the first perceptual measurement quantity, and then the second device sends the first perceptual measurement quantity after blurring processing to the first device.

[0218] In an implementation manner of the present application, the method further includes:

[0219] The first device receives a second perceptual measurement quantity from the second device, and the second perceptual measurement quantity is obtained based on the first perceptual measurement quantity after blurring processing.

[0220] Optionally, the first perceptual measurement quantity or the second perceptual measurement quantity may include at least one of the following:

[0221] a) First-level measurement quantity (received signal or original channel information), and the first-level measurement quantity includes: at least one of received signal or channel response complex result, amplitude or phase, I channel or Q channel and their operation results;

[0222] Among them, the operations include addition, subtraction, multiplication, division, matrix addition, subtraction, multiplication, matrix transpose, triangular relationship operations, square root operations, power operations, etc., and at least one of the threshold detection results and maximum or minimum value extraction results of the above operation results; the operations also include Fast Fourier Transform (FFT) or Inverse Fast Fourier Transform (IFFT), Discrete Fourier Transform (DFT) or Inverse Discrete Fourier Transform (IDFT), 2D-FFT, 3D-FFT, matched filtering, autocorrelation operations, wavelet transforms, digital filtering, etc., and at least one of the threshold detection results and maximum or minimum value extraction results of the above operation results;

[0223] b) The second-level measurement quantity (basic measurement quantity), and the second-level measurement quantity may include at least one of the following: time delay, Doppler, angle, intensity, and their multi-dimensional combined representations;

[0224] c) The third-level measurement quantity (basic attribute or state), and the third-level measurement quantity may include at least one of the following: distance, speed, orientation, spatial position, acceleration;

[0225] d) The fourth-level measurement quantity (advanced attribute or state), and the fourth-level measurement quantity may include at least one of the following: whether the target exists, trajectory, action, expression, vital signs, quantity, imaging result, weather, air quality, shape, material, composition.

[0226] Optionally, the above first perception measurement quantity or second perception measurement quantity further includes label information corresponding to the first perception measurement quantity or second perception measurement quantity, and the label information may include at least one of the following:

[0227] 1) Identification information of the first signal;

[0228] 2) Perception measurement configuration identification information;

[0229] 3) Perception service information, for example, perception service identification (ID), etc.;

[0230] 4) Data subscription ID;

[0231] 5) Use of the measurement quantity, for example, communication, perception, communication and sensing, etc.;

[0232] 6) Time information;

[0233] 7) Perception node information, for example, terminal ID, node position, device orientation, etc.;

[0234] 8) Sense link information, such as sense link serial number, transceiver node identifier, etc.;

[0235] Optionally, the sense link information includes: the identifier of the receiving antenna or receiving channel. If it is the sensed measurement of a single receiving antenna or receiving channel, the identifier is the identifier of this receiving antenna or receiving channel; if it is the result of division or conjugate multiplication of two receiving antennas or receiving channels, the identifier is the identifier of these two receiving antennas or receiving channels, as well as the identifier of the division or conjugate multiplication.

[0236] 9) Measurement description information;

[0237] For example, the form of the measurement, such as amplitude value, phase value, complex value combining amplitude and phase; the resource type of the measurement, such as time-domain measurement result, frequency-domain resource measurement result;

[0238] 10) Measurement index information, such as Signal to Noise Ratio (SNR), sensed SNR.

[0239] Optionally, the sensing requirements include at least one of the following:

[0240] 1) Sensing service or sensing service type;

[0241] Optionally, the sensing service can be, for example, detecting whether a target exists, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, category classification, Radar Cross Section (RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip reading recognition, gait recognition, expression recognition, face recognition, breathing monitoring, heart rate monitoring, pulse monitoring, humidity or brightness or temperature or atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environment reconstruction, terrain, building or vegetation distribution detection, pedestrian or vehicle flow detection, crowd density, vehicle density detection, etc.; the sensing service type can classify multiple different sensing services according to certain characteristics. For example, it can be classified into detection-type sensing services (such as intrusion detection, fall detection), parameter estimation-type sensing services (distance, angle, speed calculation), recognition-type sensing services (action recognition, identity recognition), etc. according to function. It can also be classified according to the sensing range (close-range sensing, medium-range sensing, long-range sensing), according to the sensing fineness (coarse-grained sensing, fine-grained sensing, etc.), according to power consumption or energy consumption, according to resource occupancy, etc.

[0242] 2) Sensing target area: It refers to the position area where the sensing object may exist, or the position area where imaging or environment reconstruction needs to be performed;

[0243] 3) Perceived object type: Classify the perceived objects according to their possible motion characteristics. Each perceived object type contains information such as the motion speed, motion acceleration, and typical RCS of typical perceived objects;

[0244] 4) Perceived QoS: Performance metrics for perceiving the perceived target area or perceived objects, including at least one of the following:

[0245] a) Perceived resolution;

[0246] Optionally, the perceived resolution includes but is not limited to at least one of the following: ranging resolution, angle measurement resolution, speed measurement resolution, imaging resolution, etc.;

[0247] b) Perceived accuracy;

[0248] Optionally, the perceived accuracy includes but is not limited to at least one of the following: ranging accuracy, angle measurement accuracy, speed measurement accuracy, positioning accuracy, etc.;

[0249] c) Perceived range;

[0250] Optionally, the perceived range includes but is not limited to at least one of the following: ranging range, speed measurement range, angle measurement range, imaging range, etc.;

[0251] d) Perceived latency

[0252] Optionally, the perceived latency includes: the time interval from sending the perceived signal to obtaining the perceived result, or, the time interval from the perceived demand being initiated to obtaining the perceived result;

[0253] e) Perceived update rate;

[0254] Optionally, the perceived update rate includes the time interval between two adjacent executions of perception and obtaining the perceived result;

[0255] f) Detection probability

[0256] Optionally, the detection probability includes the probability of being correctly detected when the perceived object exists;

[0257] g) False alarm probability;

[0258] Optionally, the false alarm probability includes: the probability of erroneously detecting the perceived target when the perceived object does not exist;

[0259] h) Maximum number of perceivable targets.

[0260] In an embodiment of the present application, the first device determines whether to perform fuzzification processing on a first perception measurement quantity according to the perception performance index of the first signal, where the first perception measurement quantity is obtained by the first device measuring the first signal or the second signal; alternatively, the first device determines whether the second device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal, thereby protecting the privacy of the first perception measurement quantity while taking into account the perception performance of the first perception measurement quantity.

[0261] See Figure 10 , an embodiment of the present application provides a perception processing method, and the specific steps include:

[0262] Step 1001: The second device sends the perception performance index of the first signal to the first device;

[0263] Optionally, the second device measures the first signal to obtain the perception performance index corresponding to the first signal.

[0264] Step 1002: The second device receives the third information sent by the first device, where the third information is used to indicate to perform fuzzification processing on the first perception measurement quantity of the second device, and the third information is determined by the first device according to the perception performance index of the first signal, and the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0265] In an implementation manner of the present application, the method further includes:

[0266] The second device sends the fuzzified first perception measurement quantity to the first device.

[0267] In an implementation manner of the present application, the method further includes:

[0268] The second device sends the second perception measurement quantity obtained according to the fuzzified first perception measurement quantity to the first device.

[0269] In an implementation manner of the present application, the perception performance index includes at least one of the following: a first index, a second index, and a third index;

[0270] The first index is the linear average value of the received power of the perception target associated path in the channel response measured for the target signal on the resource unit carrying the target signal;

[0271] The second indicator includes at least one of the following: a fourth indicator, a fifth indicator, and a sixth indicator. The fourth indicator is the sum of the linear average of the power of the paths other than the sensed target associated path in the channel response of the target signal on the target resource and the linear average of the interference and noise power of the signals other than the target signal on the first resource. The first resource is the target resource or other resources other than the target resource. The fifth indicator is the linear average of the interference and noise power of the signals other than the target signal on the second resource. The second resource is the target resource or other resources other than the target resource. The sixth indicator is the linear average of the power of the paths other than the sensed target associated path in the channel response of the target signal on the target resource. The target resource includes the resource unit carrying the first signal.

[0272] The third indicator includes at least one of the following: a seventh indicator, an eighth indicator, a ninth indicator, and a tenth indicator. The seventh indicator represents the first indicator divided by the fourth indicator. The eighth indicator represents the first indicator divided by the fifth indicator. The ninth indicator represents the first indicator divided by the sixth indicator. The tenth indicator represents the first indicator divided by the first received power and then multiplied by the first coefficient. The first received power represents the total received power on the target resource, or the first received power represents the product of the received signal strength indication (RSSI) and the second coefficient. The measurement resource of the RSSI is the target resource or other resources.

[0273] In an implementation manner of the present application, the fuzzification processing includes at least one of the following:

[0274] Adding noise to the first sensing measurement quantity:

[0275] Adding error to the first sensing measurement quantity;

[0276] Performing partial information elimination or downsampling on the first sensing measurement quantity;

[0277] Reducing the sampling rate of the first sensing measurement quantity;

[0278] Reducing the resolution of the first sensing measurement quantity.

[0279] In an embodiment of the present application, the second device sends the sensing performance indicator of the first signal to the first device. The second device performs fuzzification processing on the first sensing measurement quantity according to the third information indicated by the first device. The third information is determined by the first device according to the sensing performance indicator of the first signal. The first sensing measurement quantity is measured by the second device for the first signal or the second signal. In this way, while taking into account the sensing performance of the first sensing measurement quantity, the privacy of the first sensing measurement quantity is also protected.

[0280] The following introduces two implementation manners of the present application in combination with Embodiment 1 and Embodiment 2.

[0281] Embodiment 1: The first device determines whether to perform fuzzification processing on the first perception measurement quantity.

[0282] See Figure 3 , and the specific steps include:

[0283] Step 301: The first device measures the first signal to obtain the perception performance index corresponding to the first signal;

[0284] Step 302: The first device determines whether to perform fuzzification processing on the first perception measurement quantity according to the perception performance index;

[0285] Optionally, the first perception measurement quantity is obtained by the first device measuring the first signal or the second signal;

[0286] Optionally, the first signal may be sent by the first device, or the first signal is sent by other devices (such as the second device).

[0287] Optionally, the second signal may be sent by the first device, or the second signal is sent by other devices (such as the second device).

[0288] If the first signal or the second signal is sent by the first device, then before step 301, the first device receives the configuration information of the first signal or the second signal.

[0289] Optionally, the first signal or the second signal includes at least one of the following: a dedicated signal for perception, a sounding reference signal, a preamble, a channel state information reference signal, a tracking reference signal, a synchronization signal, a data signal, or other signals.

[0290] In this embodiment, the first device determines whether to perform fuzzification processing on the first perception measurement quantity according to the perception performance index and the first information, and the first information is used to indicate the first preset threshold or the first preset interval of the perception performance index that requires fuzzification processing.

[0291] Optionally, the first information is sent to the first device by other devices, and the other devices include but are not limited to a base station or a perception functional network element.

[0292] Step 303: The first device performs fuzzification processing on the first perception measurement quantity, where the specific operation of the fuzzification processing is associated with the perception performance index. For example, the higher the perception performance index, the greater the noise or error added to the perception measurement quantity during fuzzification processing.

[0293] Optionally, before step 303, the first device receives the configuration information for the obfuscation process.

[0294] Optionally, the configuration information for the obfuscation process includes at least one of the object of the obfuscation process, the noise of the obfuscation process, the noise type, the way of the obfuscation process, etc.

[0295] Optionally, the obfuscation process includes at least one of the following:

[0296] 1) Adding noise to the first sensed measurement quantity;

[0297] 2) Adding an error to the first sensed measurement quantity;

[0298] 3) Performing partial information removal or downsampling on the first sensed measurement quantity;

[0299] 4) Reducing the sampling rate of the first sensed measurement quantity;

[0300] 5) Reducing the resolution of the first sensed measurement quantity.

[0301] Step 304a: The first device sends the first sensed measurement quantity after the obfuscation process to the second device;

[0302] Step 304b: The first device sends the second sensed measurement quantity obtained from the first sensed measurement quantity after the obfuscation process to the second device.

[0303] In this application, the configuration information of the first signal or the configuration information of the second signal may include at least one of the following:

[0304] 1) A signal resource identifier, used to distinguish different signal resource configurations;

[0305] 2) The signal usage;

[0306] Optionally, the signal usage is used to indicate that the signal is a signal for communication (such as channel measurement, channel estimation, synchronization, carrying data information, etc.), or a signal for sensing, or a signal for both communication and sensing. Specifically, the signal usage can also be used to indicate which sensing service the signal is for, or which type of sensing service the signal is for.

[0307] 3) The waveform;

[0308] Optionally, the waveform may be Orthogonal Frequency Division Multiplexing (OFDM), Single-Carrier Frequency-Division Multiple Access (SC-FDMA), Orthogonal Time Frequency Space (OTFS), Frequency Modulated Continuous Wave (FMCW), pulse signal, etc.;

[0309] 4) Subcarrier spacing;

[0310] For example, the subcarrier spacing of an OFDM system is 30 KHz.

[0311] 5) Guard interval;

[0312] Optionally, the guard interval is the time interval between the moment when the signal ends transmission and the moment when the latest echo signal of the signal is received; this parameter is proportional to the maximum sensing distance; for example, it can be calculated by c / (2R_max), where R_max is the maximum sensing distance (belonging to the sensing requirement). For example, for a self-transmitting and self-receiving sensing signal, R_max represents the maximum distance from the sensing signal transceiver point to the signal transmitting point; in some cases, the Cyclic Prefix (CP) of the OFDM signal can act as the minimum guard interval; c is the speed of light.

[0313] 6) Starting frequency domain position;

[0314] Optionally, the starting frequency domain position can be the starting frequency point, which can be represented by the index of the starting Resource Element (RE) or Resource Block (RB);

[0315] 7) Starting time domain position;

[0316] Optionally, the starting time domain position can be the starting time point, which can be represented by the starting symbol index, time slot index, or frame index;

[0317] 8) Ending frequency domain position;

[0318] Optionally, the ending frequency domain position can be the ending frequency point, which can be represented by the index of the ending RE or RB;

[0319] 9) Ending time domain position;

[0320] Optionally, the ending time domain position is the ending time point, which can be represented by the index of the ending RE or RB;

[0321] 10) Frequency domain resource length;

[0322] Optionally, the frequency domain resource length includes the frequency domain bandwidth, and the frequency domain bandwidth is inversely proportional to the range resolution. The frequency domain bandwidth B of each of the first signals satisfies B≥c / (2ΔR), where c is the speed of light and ΔR is the range resolution;

[0323] 11) Time domain resource length;

[0324] Optionally, the time domain resource length includes the burst duration, and the time domain resource length is inversely proportional to the Doppler resolution.

[0325] 12) Frequency domain resource interval;

[0326] Optionally, the frequency domain resource interval represents the interval between adjacent signal frequency domain resource units, which can be represented by the number of resource elements (REs) or the number of resource blocks (RBs), or can also be represented by a density value (Density). For example, Density = 1 means that there is one RE in each RB for carrying signals. The frequency domain resource interval is inversely proportional to the maximum unambiguous range / delay. For an OFDM system, when subcarriers are continuously mapped, the frequency domain interval is equal to the subcarrier interval;

[0327] 13) Time domain resource interval;

[0328] Optionally, the time domain resource interval is the time interval between two adjacent signal resource units, and the time domain resource interval is associated with the maximum unambiguous Doppler frequency shift or the maximum unambiguous speed.

[0329] 14) Time domain resource characteristics;

[0330] Optionally, the time domain resource characteristics include but are not limited to periodic transmission, semi-persistent transmission, or aperiodic transmission.

[0331] 15) Signal power;

[0332] For example, values are taken every 2 dBm from -20 dBm to 23 dBm.

[0333] 16) Sequence information;

[0334] The sequence information includes but is not limited to at least one of the following: sequence type information (e.g., Zadoff-Chu (ZC) sequence, Pseudorandom Noise (PN) sequence, etc.), sequence generation method, sequence length, etc.

[0335] 17) Signal direction;

[0336] For example, the angle information or beam information of signal transmission.

[0337] 18) Quasi Co-Location (QCL) relationship;

[0338] For example, the sensed signal includes multiple resources, and each resource is QCL with a Synchronization Signal and PBCH block (SSB). The QCL includes Type A, Type B, Type C, or Type D.

[0339] 19) Antenna port information;

[0340] For example, the maximum number of antenna ports, antenna port index.

[0341] 20) Cyclic prefix information;

[0342] For example, the cyclic prefix information includes but is not limited to at least one of the following: cyclic prefix type (such as Normal Cyclic Prefix (NCP), Extended Cyclic Prefix (ECP), or a newly designed cyclic prefix dedicated to sensing measurement, etc.), cyclic prefix length, etc.

[0343] Embodiment 2: The first device determines whether the second device performs fuzzification processing on the first sensing measurement quantity.

[0344] See Figure 4 , and the specific steps are as follows:

[0345] Step 401: The second device measures the first signal to obtain the sensing performance index corresponding to the first signal;

[0346] Step 402: The second device sends the sensing performance index to the first device.

[0347] Step 403: The first device determines whether the second device performs fuzzification processing on the first sensing measurement quantity according to the sensing performance index;

[0348] Optionally, the first sensing measurement quantity is obtained by the second device measuring the first signal or the second signal

[0349] Optionally, the first signal may be sent by the second device, or the first signal is sent by other devices (such as the first device).

[0350] Optionally, the second signal may be sent by the second device, or the second signal is sent by other devices (such as the first device).

[0351] If the first signal or the second signal is sent by the second device, before step 401, the second device receives the configuration information of the first signal or the second signal. Optionally, the first signal or the second signal includes at least one of the following: a dedicated signal for sensing, a sounding reference signal, a preamble, a channel state information reference signal, a tracking reference signal, a synchronization signal, a data signal, or other signals.

[0352] Optionally, the first device determines whether the second device performs fuzzification processing on the first sensing measurement according to the sensing performance metric and the second information;

[0353] Optionally, the second information is used to indicate a second preset threshold or a second preset interval of the sensing performance metric that requires fuzzification processing;

[0354] Optionally, the second information is sent by other devices (such as a base station or a sensing functional network element) to the first device.

[0355] If the first device determines that the second device performs fuzzification processing on the first sensing measurement, step 404 is executed;

[0356] Step 404: The first device notifies the second device to perform fuzzification processing on the first sensing measurement;

[0357] Step 405: The second device performs fuzzification processing on the first sensing measurement, and the specific operation of the fuzzification processing is associated with the sensing performance metric; for example, the higher the sensing performance metric, the greater the noise or error added to the sensing measurement during fuzzification processing.

[0358] Before step 405, the second device receives the configuration information of the fuzzification processing. Optionally, the configuration information of the fuzzification processing includes at least one of the object of the fuzzification processing, the noise of the fuzzification processing, the noise type, the method of the fuzzification processing, etc.

[0359] Step 406a: The second device sends the fuzzified first sensing measurement to the target device;

[0360] Step 406b. The second device sends the second sensing measurement obtained from the fuzzified first sensing measurement to the target device.

[0361] Optionally, the target device includes at least one of, but is not limited to, the first device, a base station, or a sensing functional network element.

[0362] See Figure 6 , an embodiment of the present application provides a sensing processing apparatus, which is applied to the first device. The apparatus 600 includes:

[0363] The first transceiver unit 601 is configured to obtain the perception performance index of the first signal;

[0364] The first processing unit 602 is configured to determine, according to the perception performance index of the first signal, whether the first device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the first device measuring the first signal or the second signal; or determine whether the second device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0365] In an embodiment of the present application, the first transceiver unit 601 is further configured to: measure the first signal to obtain the perception performance index of the first signal.

[0366] In an embodiment of the present application, the first processing unit 602 is further configured to: determine, according to the perception performance index of the first signal and the first information, whether the first device performs fuzzification processing on the first perception measurement quantity;

[0367] wherein the first information is used to indicate a first preset threshold or a first preset interval of the perception performance index that requires fuzzification processing.

[0368] In an embodiment of the present application, the first processing unit 602 is further configured to perform fuzzification processing on the first perception measurement quantity.

[0369] In an embodiment of the present application, the first transceiver unit 601 is further configured to receive configuration information for fuzzification processing.

[0370] In an embodiment of the present application, the first transceiver unit 601 is further configured to send the fuzzified first perception measurement quantity to the second device;

[0371] Or,

[0372] The first transceiver unit 601 is further configured to send a second perception measurement quantity obtained according to the fuzzified first perception measurement quantity to the second device.

[0373] In an embodiment of the present application, the first transceiver unit 601 is further configured to: receive from the second device the perception performance index of the first signal, where the perception performance index of the first signal is obtained by the second device measuring the first signal.

[0374] In an embodiment of the present application, the first processing unit 602 is further configured to: determine, according to the perception performance index of the first signal and the second information, whether the second device performs fuzzification processing on the first perception measurement quantity;

[0375] Wherein, the second information is used to indicate a second preset threshold or a second preset interval of a perception performance index that needs to be fuzzified.

[0376] In an implementation manner of the present application, the perception performance index includes at least one of the following: a first index, a second index, and a third index;

[0377] The first index is the linear average value of the received power of the perception target associated path in the channel response measured for the target signal on the resource unit carrying the target signal;

[0378] The second index includes at least one of the following: a fourth index, a fifth index, and a sixth index. The fourth index is the sum of the linear average value of the power of other paths except the perception target associated path in the channel response of the target signal on the target resource and the linear average value of the interference and noise power of other signals except the target signal on the first resource. The first resource is the target resource or other resources other than the target resource; the fifth index is the linear average value of the interference and noise power of other signals except the target signal on the second resource. The second resource is the target resource or other resources other than the target resource; the sixth index is the linear average value of the power of other paths except the perception target associated path in the channel response of the target signal on the target resource; the target resource includes the resource unit carrying the first signal;

[0379] The third index includes at least one of the following: a seventh index, an eighth index, a ninth index, and a tenth index. The seventh index represents the first index divided by the fourth index, the eighth index represents the first index divided by the fifth index, the ninth index represents the first index divided by the sixth index, and the tenth index represents the first index divided by the first received power and then multiplied by a first coefficient. The first received power represents the total received power on the target resource, or the first received power represents the product of the RSSI and a second coefficient. The measurement resource of the RSSI is the target resource or other resources.

[0380] In an implementation manner of the present application, the first transceiver unit 601 is further configured to send third information to the second device, and the third information is used to indicate fuzzification processing of the first perception measurement quantity.

[0381] In an implementation manner of the present application, the first transceiver unit 601 is further configured to receive the fuzzified first perception measurement quantity from the second device; or, the first transceiver unit 601 is further configured to receive a second perception measurement quantity from the second device, and the second perception measurement quantity is obtained based on the fuzzified first perception measurement quantity.

[0382] In an implementation manner of the present application, performing a fuzzification process on the first sensed measurement quantity includes:

[0383] Performing a fuzzification process on the Nth-level first sensed measurement quantity to obtain the fuzzified Nth-level first sensed measurement quantity, and then obtaining the (N + 1)th-level first sensed measurement quantity according to the fuzzified Nth-level first sensed measurement quantity, where N is an integer greater than or equal to 1;

[0384] Or,

[0385] Performing a fuzzification process on the Nth-level first sensed measurement quantity to obtain the fuzzified Nth-level first sensed measurement quantity.

[0386] In an implementation manner of the present application, the fuzzification process includes at least one of the following:

[0387] Adding noise to the first sensed measurement quantity:

[0388] Adding an error to the first sensed measurement quantity;

[0389] Performing partial information elimination or downsampling on the first sensed measurement quantity;

[0390] Reducing the sampling rate of the first sensed measurement quantity;

[0391] Reducing the resolution of the first sensed measurement quantity.

[0392] The device provided in the embodiment of the present application can implement Figure 2 each process implemented by the method embodiment and achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0393] Referring to Figure 11 , the embodiment of the present application provides a sensing processing device, which is applied to a second device. The device 1100 includes:

[0394] A second transceiver unit 1101, configured to send a sensing performance index of a first signal to a first device;

[0395] The second transceiver unit 1101 is further configured to receive third information sent by the first device, where the third information is used to indicate that the second device performs a fuzzification process on a first sensed measurement quantity, and the third information is determined by the first device according to the sensing performance index of the first signal, and the first sensed measurement quantity is obtained by the second device measuring the first signal or the second signal.

[0396] In an implementation manner of the present application,

[0397] The second transceiver unit 1101 is further configured to send the fuzzified first sensed measurement quantity to the first device;

[0398] Or,

[0399] The second transceiver unit 1101 is further configured to send the second sensed measurement quantity obtained according to the first sensed measurement quantity after fuzzy processing to the first device.

[0400] In an embodiment of the present application,

[0401] The sensing performance index includes at least one of the following: a first index, a second index, and a third index;

[0402] The first index is the linear average of the received power of the sensed target associated path in the channel response measured for the target signal on the resource unit carrying the target signal;

[0403] The second index includes at least one of the following: a fourth index, a fifth index, and a sixth index. The fourth index is the sum of the linear average of the power of the paths other than the sensed target associated path in the channel response of the target signal on the target resource and the linear average of the interference and noise power of the signals other than the target signal on the first resource. The first resource is the target resource or other resources other than the target resource; the fifth index is the linear average of the interference and noise power of the signals other than the target signal on the second resource. The second resource is the target resource or other resources other than the target resource; the sixth index is the linear average of the power of the paths other than the sensed target associated path in the channel response of the target signal on the target resource; the target resource includes the resource unit carrying the first signal;

[0404] The third index includes at least one of the following: a seventh index, an eighth index, a ninth index, and a tenth index. The seventh index represents the first index divided by the fourth index, the eighth index represents the first index divided by the fifth index, the ninth index represents the first index divided by the sixth index, and the tenth index represents the first index divided by the first received power and then multiplied by a first coefficient. The first received power represents the total received power on the target resource, or the first received power represents the product of the received signal strength indication RSSI and a second coefficient. The measurement resource of the RSSI is the target resource or other resources.

[0405] In an embodiment of the present application,

[0406] The fuzzy processing includes at least one of the following:

[0407] Adding noise to the first sensed measurement quantity:

[0408] Adding error to the first sensed measurement quantity;

[0409] Perform partial information elimination or downsampling on the first sensed measurement quantity;

[0410] Reduce the sampling rate of the first sensed measurement quantity;

[0411] Reduce the resolution of the first sensed measurement quantity.

[0412] The device provided by the embodiments of the present application can implement Figure 10 each process implemented by the method embodiments and achieve the same technical effects. To avoid repetition, details are not described here again.

[0413] Figure 7 Schematic diagram of the hardware structure of a terminal for implementing the embodiments of the present application. The terminal 700 includes, but is not limited to, at least some components such as a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, and a processor 710.

[0414] Those skilled in the art can understand that the terminal 700 may further include a power source (such as a battery) for supplying power to each component. The power source can be logically connected to the processor 710 through a power management system, so as to implement functions such as management of charging, discharging, and power consumption management through the power management system. Figure 7 The terminal structure shown in does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements, which are not described in detail here.

[0415] It should be understood that in the embodiments of the present application, the input unit 704 may include a graphics processing unit (GPU) 7041 and a microphone 7042. The graphics processor 7041 processes the image data of static pictures or videos obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 707 includes at least one of a touch panel 7071 and other input devices 7072. The touch panel 7071 is also called a touch screen. The touch panel 7071 may include two parts: a touch detection device and a touch controller. Other input devices 7072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, which are not described in detail here.

[0416] In an embodiment of this application, after receiving downlink data from a network-side device, the radio frequency unit 701 can transmit it to the processor 710 for processing; in addition, the radio frequency unit 701 can send uplink data to the network-side device. Generally, the radio frequency unit 701 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, etc.

[0417] The memory 709 can be used to store software programs or instructions and various data. The memory 709 mainly includes a first storage area for storing programs or instructions and a second storage area for storing data. Among them, the first storage area can store an operating system, applications or instructions required for at least one function (such as a sound playback function, an image playback function, etc.). In addition, the memory 709 can include a volatile memory or a non-volatile memory, or the memory 709 can include a non-transitory memory. Among them, the non-volatile memory or the non-transitory memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (Synchronous DRAM, SDRAM), a double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDR SDRAM), an enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), a synchronous link dynamic random access memory (Synch link DRAM, SLDRAM), and a direct rambus random access memory (Direct Rambus RAM, DRRAM). The memory 709 in the embodiment of this application includes, but is not limited to, these and any other suitable types of memories.

[0418] The processor 710 may include one or more processing units; optionally, the processor 710 integrates an application processor and a modem processor. Among them, the application processor mainly processes operations related to the operating system, user interface, and applications, etc., and the modem processor mainly processes wireless communication signals, such as a baseband processor. It can be understood that the above-mentioned modem processor may not be integrated into the processor 710.

[0419] The terminal provided by the embodiment of this application can achieveFigure 2 or Figure 10 The various processes implemented by the method embodiments of Figure 10 achieve the same technical effects. To avoid repetition, they will not be elaborated here.

[0420] Please refer to Figure 8 , Figure 8 which is a structural diagram of the network-side device to which the embodiments of the present invention are applied.

[0421] As Figure 8 shown, the network-side device 800 includes: a processor 801, a transceiver 802, a memory 803, and a bus interface. Among them, the processor 801 can be responsible for managing the bus architecture and general processing. The memory 803 can store the data used by the processor 801 when performing operations.

[0422] In an embodiment of the present invention, the network-side device 800 further includes: a program stored in the memory 803 and executable on the processor 801. When the program is executed by the processor 801, it implements the above Figure 2 or Figure 10 steps in the method shown.

[0423] In Figure 8 , the bus architecture may include any number of interconnected buses and bridges, specifically linking together various circuits of one or more processors represented by the processor 801 and the memory represented by the memory 803. The bus architecture can also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art. Therefore, they will not be further described herein. The bus interface provides an interface. The transceiver 802 can be multiple components, that is, including a transmitter and a receiver, providing a unit for communicating with various other devices on the transmission medium.

[0424] As Figure 9 shown, an embodiment of the present application further provides a communication device 900. The communication device can be a terminal or a network-side device. The communication device includes a processor 901 and a memory 902. A program or instruction is stored on the memory 902 and executable on the processor 901. When the program or instruction is executed by the processor 901, it implements the above Figure 2 or Figure 10 steps of the method embodiments and can achieve the same technical effects. To avoid repetition, they will not be elaborated here.

[0425] An embodiment of the present application further provides a readable storage medium. A program or instruction is stored on the readable storage medium. When the program or instruction is executed by a processor, it implements Figure 2 or Figure 10 the method and the various processes of the above embodiments and can achieve the same technical effects. To avoid repetition, they will not be elaborated here.

[0426] Among them, the processor is the processor in the terminal or network-side device 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 disks, or optical discs, etc. In some examples, the readable storage medium may be a non-transitory readable storage medium.

[0427] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement Figure 2 or Figure 10 each process shown in and the above various method embodiments, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0428] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip, etc.

[0429] Another embodiment of the present application provides a computer program / program product, which is stored in a storage medium and is executed by at least one processor to implement Figure 2 or Figure 10 each process shown in and the above various method embodiments, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0430] The embodiments of the present application further provide a communication system, which includes a terminal and a network-side device. The terminal is used to execute as Figure 2 or Figure 10 each process shown in and the above various method embodiments, or the network-side device is used to execute as Figure 2 or Figure 10 each process shown in and the above various method embodiments, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0431] It should be noted that in this text, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in the reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0432] From the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of a computer software product plus a necessary general hardware platform, and of course, can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes several instructions for causing a terminal or a network-side device to execute the methods described in the various embodiments of the present application.

[0433] The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms of embodiments without departing from the purpose of the present application and the scope protected by the claims. These embodiments are all within the protection scope of the present application.

Claims

1. A perception processing method, characterized in that Including: The first device obtains the perception performance index of the first signal; The first device determines, according to the perception performance index of the first signal, whether the first device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the first device measuring the first signal or the second signal; or determines whether the second device performs fuzzification processing on the first perception measurement quantity, where the first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

2. The method according to claim 1, wherein The first device obtaining the perception performance index of the first signal includes: The first device measures the first signal to obtain the perception performance index of the first signal.

3. The method according to claim 1, characterized in that, The first device determining, according to the perception performance index of the first signal, whether the first device performs fuzzification processing on the first perception measurement quantity includes: The first device determines, according to the perception performance index of the first signal and the first information, whether the first device performs fuzzification processing on the first perception measurement quantity; wherein, the first information is used to indicate a first preset threshold or a first preset interval of the perception performance index that requires fuzzification processing.

4. The method according to any one of claims 1 to 3, characterized in that If it is determined that the first device performs fuzzification processing on the first perception measurement quantity, the method further includes: The first device performs fuzzification processing on the first perception measurement quantity.

5. The method according to claim 4, wherein Before the first device performs fuzzification processing on the first perception measurement quantity, the method further includes: The first device receives configuration information for fuzzification processing.

6. The method according to claim 4, characterized in that, The method further includes: The first device sends the fuzzified first perception measurement quantity to the second device; Or, The first device sends a second perception measurement quantity obtained according to the fuzzified first perception measurement quantity to the second device.

7. The method according to claim 1, characterized in that The first device obtaining the perception performance index of the first signal includes: The first device receives the perception performance index of the first signal from the second device, where the perception performance index of the first signal is obtained by the second device measuring the first signal.

8. The method according to claim 1 or 7, characterized in that The first device determining, according to the perception performance index of the first signal, whether the second device performs fuzzification processing on the first perception measurement quantity includes: The first device determines, according to the perception performance index of the first signal and the second information, whether the second device performs fuzzification processing on the first perception measurement quantity; wherein, the second information is used to indicate a second preset threshold or a second preset interval of the perception performance index that requires fuzzification processing.

9. The method according to claim 1 or 2 or 3 or 7 or 8, characterized in that The perception performance index includes at least one of the following: a first index, a second index, and a third index; The first index is the linear average value of the received power of the perception target associated path in the channel response measured for the target signal on the resource unit carrying the target signal; The second indicator includes at least one of the following: a fourth indicator, a fifth indicator, and a sixth indicator. The fourth indicator is the sum of the linear average of the power of the paths other than the sensed target associated path in the channel response of the target signal on the target resource and the linear average of the interference and noise power of the signals other than the target signal on the first resource. The first resource is the target resource or other resources other than the target resource. The fifth indicator is the linear average of the interference and noise power of the signals other than the target signal on the second resource. The second resource is the target resource or other resources other than the target resource. The sixth indicator is the linear average of the power of the paths other than the sensed target associated path in the channel response of the target signal on the target resource. The target resource includes the resource unit carrying the first signal. The third indicator includes at least one of the following: a seventh indicator, an eighth indicator, a ninth indicator, and a tenth indicator. The seventh indicator represents the first indicator divided by the fourth indicator. The eighth indicator represents the first indicator divided by the fifth indicator. The ninth indicator represents the first indicator divided by the sixth indicator. The tenth indicator represents the first indicator divided by the first received power and then multiplied by the first coefficient. The first received power represents the total received power on the target resource, or the first received power represents the product of the received signal strength indication (RSSI) and the second coefficient. The measurement resource of the RSSI is the target resource or other resources.

10. The method according to claim 8, wherein If it is determined that the second device performs fuzzification processing on the first sensing measurement quantity, the method further includes: The first device sends third information to the second device, and the third information is used to indicate fuzzification processing of the first sensing measurement quantity.

11. The method according to claim 10, wherein The method further includes: The first device receives the fuzzified first sensing measurement quantity from the second device. Or, The first device receives a second sensing measurement quantity from the second device, and the second sensing measurement quantity is obtained based on the fuzzified first sensing measurement quantity.

12. The method according to claim 1, wherein The first signal or the second signal includes at least one of the following: a dedicated signal for sensing, a sounding reference signal, a preamble, a channel state information reference signal, a tracking reference signal, a synchronization signal, a data signal, and other signals.

13. The method according to any one of claims 1 to 12, characterized in that, The fuzzification processing includes at least one of the following: Adding noise to the first sensing measurement quantity; Adding error to the first sensing measurement quantity; Performing partial information removal or downsampling on the first sensing measurement quantity; Reducing the sampling rate of the first sensing measurement quantity; Reducing the resolution of the first sensing measurement quantity.

14. A perception processing method, characterized in that, Including: The second device sends the sensing performance indicator of the first signal to the first device; The second device receives the third information sent by the first device. The third information is used to indicate that the second device performs fuzzification processing on the first sensing measurement quantity. The third information is determined by the first device according to the sensing performance indicator of the first signal. The first sensing measurement quantity is obtained by the second device measuring the first signal or the second signal.

15. The method according to claim 14, wherein The method further includes: The second device sends the first perception measurement quantity after fuzzification processing to the first device; Or, The second device sends the second perception measurement quantity obtained according to the first perception measurement quantity after fuzzification processing to the first device.

16. The method according to claim 14, wherein The perception performance index includes at least one of the following: a first index, a second index, and a third index; The first index is the linear average value of the received power of the perception target associated path in the channel response measured for the target signal on the resource unit carrying the target signal; The second index includes at least one of the following: a fourth index, a fifth index, and a sixth index. The fourth index is the sum of the linear average value of the power of the paths other than the perception target associated path in the channel response of the target signal on the target resource and the linear average value of the interference and noise power of the signals other than the target signal on the first resource. The first resource is the target resource or other resources other than the target resource; the fifth index is the linear average value of the interference and noise power of the signals other than the target signal on the second resource. The second resource is the target resource or other resources other than the target resource; the sixth index is the linear average value of the power of the paths other than the perception target associated path in the channel response of the target signal on the target resource; the target resource includes the resource unit carrying the first signal; The third index includes at least one of the following: a seventh index, an eighth index, a ninth index, and a tenth index. The seventh index represents the first index divided by the fourth index, the eighth index represents the first index divided by the fifth index, the ninth index represents the first index divided by the sixth index, and the tenth index represents the first index divided by the first received power and then multiplied by a first coefficient. The first received power represents the total received power on the target resource, or the first received power represents the product of the RSSI and a second coefficient. The measurement resource of the RSSI is the target resource or other resources.

17. The method according to any one of claims 14 to 16, characterized in that, The fuzzification processing includes at least one of the following: Adding noise to the first perception measurement quantity; Adding error to the first perception measurement quantity; Performing partial information elimination or downsampling on the first perception measurement quantity; Reducing the sampling rate of the first perception measurement quantity; Reducing the resolution of the first perception measurement quantity.

18. A perception processing device, characterized in that, Including: A first transceiver unit for obtaining the perception performance index of the first signal; A first processing unit for determining whether the first device performs fuzzification processing on the first perception measurement quantity according to the perception performance index of the first signal. The first perception measurement quantity is obtained by the first device measuring the first signal or the second signal; or, determining whether the second device performs fuzzification processing on the first perception measurement quantity. The first perception measurement quantity is obtained by the second device measuring the first signal or the second signal.

19. The device according to claim 18, wherein The first transceiver unit is further configured to: measure the first signal to obtain the perception performance index of the first signal.

20. The device according to claim 18, wherein The first processing unit is further configured to: determine whether the first device performs fuzzification processing on a first perception measurement quantity according to the perception performance index of the first signal and first information; Wherein, the first information is used to indicate a first preset threshold or a first preset interval of the perception performance index for which fuzzification processing is required.

21. The device according to claim 18, characterized in that, The first processing unit is further configured to perform fuzzification processing on the first perception measurement quantity.

22. The device according to claim 21, characterized in that, The first transceiver unit is further configured to receive configuration information for fuzzification processing.

23. The apparatus according to claim 21, wherein The first transceiver unit is further configured to send the fuzzified first perception measurement quantity to a second device; Or The first transceiver unit is further configured to send a second perception measurement quantity obtained from the fuzzified first perception measurement quantity to the second device.

24. The device according to claim 18, wherein The first transceiver unit is further configured to: receive the perception performance index of the first signal from the second device, where the perception performance index of the first signal is measured by the second device for the first signal.

25. The device according to claim 18 or 24, characterized in that, The first processing unit is further configured to: determine whether the second device performs fuzzification processing on the first perception measurement quantity according to the perception performance index of the first signal and second information; Wherein, the second information is used to indicate a second preset threshold or a second preset interval of the perception performance index for which fuzzification processing is required.

26. The device according to claim 18 or 19 or 20 or 24 or 25, characterized in that, The perception performance index includes at least one of the following: a first index, a second index, and a third index; The first index is the linear average of the received power of the perception target associated path in the channel response measured for the target signal on the resource unit carrying the target signal; The second index includes at least one of the following: a fourth index, a fifth index, and a sixth index. The fourth index is the sum of the linear average of the power of other paths except the perception target associated path in the channel response of the target signal on the target resource and the linear average of the interference and noise power of other signals other than the target signal on the first resource. The first resource is the target resource or other resources other than the target resource; the fifth index is the linear average of the interference and noise power of other signals other than the target signal on the second resource. The second resource is the target resource or other resources other than the target resource; the sixth index is the linear average of the power of other paths except the perception target associated path in the channel response of the target signal on the target resource; the target resource includes the resource unit carrying the first signal; The third index includes at least one of the following: a seventh index, an eighth index, a ninth index, and a tenth index. The seventh index represents the first index divided by the fourth index, the eighth index represents the first index divided by the fifth index, the ninth index represents the first index divided by the sixth index, and the tenth index represents the first index divided by the first received power and then multiplied by a first coefficient. The first received power represents the total received power on the target resource, or the first received power represents the product of the RSSI and a second coefficient. The measurement resource of the RSSI is the target resource or other resources.

27. The device according to claim 18, wherein, The first transceiver unit is further configured to send third information to the second device, where the third information is used to indicate to perform fuzzification processing on the first sensed measurement quantity.

28. The apparatus according to claim 23, wherein The first transceiver unit is further configured to receive the first sensed measurement quantity after fuzzification processing from the second device; or The first transceiver unit is further configured to receive a second sensed measurement quantity from the second device, where the second sensed measurement quantity is obtained based on the first sensed measurement quantity after fuzzification processing.

29. A perception processing device, characterized in that, Comprising: A second transceiver unit, configured to send a sensing performance index of a first signal to a first device; The second transceiver unit is further configured to receive third information sent by the first device, where the third information is used to indicate to perform fuzzification processing on the first sensed measurement quantity by the second device, the third information is determined by the first device according to the sensing performance index of the first signal, and the first sensed measurement quantity is measured by the second device for the first signal or the second signal.

30. The apparatus according to claim 29, wherein The second transceiver unit is further configured to send the first sensed measurement quantity after fuzzification processing to the first device; or The second transceiver unit is further configured to send a second sensed measurement quantity obtained based on the first sensed measurement quantity after fuzzification processing to the first device.

31. A terminal, characterized in that, Comprising a processor, a memory, and a program or instruction stored on the memory and executable on the processor, where when the program or instruction is executed by the processor, the steps of the method according to any one of claims 1 to 17 are implemented.

32. A network-side device, characterized in that, Comprising a processor, a memory, and a program or instruction stored on the memory and executable on the processor, where when the program or instruction is executed by the processor, the steps of the method according to any one of claims 1 to 17 are implemented.

33. A readable storage medium, characterized in that, A program or instruction is stored on the readable storage medium, where when the program or instruction is executed by a processor of a terminal, the steps of the method according to any one of claims 1 to 17 are implemented.

Images