WO2023160538A1 - 感知方法、装置及通信设备 - Google Patents

感知方法、装置及通信设备 Download PDF

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Publication number
WO2023160538A1
WO2023160538A1 PCT/CN2023/077396 CN2023077396W WO2023160538A1 WO 2023160538 A1 WO2023160538 A1 WO 2023160538A1 CN 2023077396 W CN2023077396 W CN 2023077396W WO 2023160538 A1 WO2023160538 A1 WO 2023160538A1
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Prior art keywords
frequency domain
time
information
matrix
measurement result
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PCT/CN2023/077396
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English (en)
French (fr)
Inventor
姚健
姜大洁
陈保龙
王普聪
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维沃移动通信有限公司
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Publication of WO2023160538A1 publication Critical patent/WO2023160538A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/024—Channel estimation channel estimation algorithms
    • H04L25/0242—Channel estimation channel estimation algorithms using matrix methods
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines

Definitions

  • the present application relates to the technical field of communication, and in particular to a sensing method, device and communication equipment.
  • Perception capability that is, one or more devices with perception capability, which can perceive the orientation, distance, speed and other information of the target object through the transmission and reception of wireless signals, or detect, track, and detect the target object, event or environment. recognition, imaging, etc.
  • perception functions there are many kinds of perception functions, but there is no clear solution on how to realize the perception functions in scenarios such as intrusion detection and trajectory tracking.
  • Embodiments of the present application provide a sensing method, device, and communication device, which can solve the problem of how to implement sensing functions in scenarios such as intrusion detection and trajectory tracking.
  • a perception method including:
  • the first device obtains at least one perception measurement result according to eigenvalues of at least one first matrix, the at least one first matrix is obtained according to a time-frequency domain channel matrix, and the time-frequency domain channel matrix includes a plurality of time-frequency domain sampling points
  • the relevant information of the corresponding frequency-domain channel response, each of the time-frequency domain channel matrices corresponds to an antenna transceiver combination, and the relevant information of the frequency-domain channel response is channel estimated by the first device on the received first signal Obtained, the first matrix is a covariance matrix or a correlation coefficient matrix corresponding to the time-frequency domain channel matrix;
  • the first device obtains a target perception measurement result according to the at least one perception measurement result.
  • a perception method including:
  • the second device obtains a target awareness measurement
  • the target perception measurement result is obtained by the first device according to at least one perception measurement result, and the perception measurement result is obtained according to an eigenvalue of a first matrix, and the first matrix corresponds to a channel matrix in the time-frequency domain.
  • the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain channel matrix corresponds to an antenna transceiver combination, the The relevant information of the channel response in the frequency domain is obtained by the first device performing channel estimation on the received first signal.
  • a sensing device including:
  • the first acquisition module is configured to obtain at least one perception measurement result according to the eigenvalues of at least one first matrix, the at least one first matrix is obtained according to the time-frequency domain channel matrix, and the time-frequency domain channel matrix includes a plurality of time-frequency domain channel matrices Relevant information of the frequency domain channel response corresponding to the frequency domain sampling point, each of the time-frequency domain channel matrices corresponds to an antenna transceiver combination, and the relevant information of the frequency domain channel response is provided by the first device to the received first
  • the signal is obtained by performing channel estimation, and the first matrix is a covariance matrix or a correlation coefficient matrix corresponding to the time-frequency domain channel matrix;
  • the second acquiring module is configured to obtain a target perception measurement result according to the at least one perception measurement result.
  • a sensing device including:
  • a third acquisition module configured to acquire target perception measurement results
  • the target perception measurement result is obtained by the first device according to at least one perception measurement result, and the perception measurement result is obtained according to an eigenvalue of a first matrix, and the first matrix corresponds to a channel matrix in the time-frequency domain.
  • the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain channel matrix corresponds to an antenna transceiver combination, the The relevant information of the channel response in the frequency domain is obtained by the first device performing channel estimation on the received first signal.
  • a communication device in a fifth aspect, includes a processor and a memory, the memory stores programs or instructions that can run on the processor, and the programs or instructions are implemented when executed by the processor The steps of the sensing method as described in the first aspect or the second aspect.
  • a first device including a processor and a communication interface, wherein the processor is configured to obtain at least one perception measurement result according to the eigenvalues of at least one first matrix, and the at least one first matrix
  • the time-frequency domain channel matrix includes Relevant information of frequency domain channel responses corresponding to multiple time-frequency domain sampling points, each of the time-frequency domain channel matrices corresponds to an antenna transceiver combination, and the relevant information of the frequency domain channel responses is received by the first device pair
  • the first signal is obtained by performing channel estimation, the first matrix is a covariance matrix or a correlation coefficient matrix corresponding to the time-frequency domain channel matrix; according to the at least one perception measurement result, a target perception measurement result is obtained.
  • a second device including a processor and a communication interface, wherein the communication interface is used to acquire target perception measurement results;
  • the target perception measurement result is obtained by the first device according to at least one perception measurement result, and the perception measurement result is obtained according to an eigenvalue of a first matrix, and the first matrix corresponds to a channel matrix in the time-frequency domain.
  • the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain channel matrix corresponds to an antenna transceiver combination, the The relevant information of the channel response in the frequency domain is obtained by the first device performing channel estimation on the received first signal.
  • a sensing system including: a first device and a second device, the first device can be used to perform the steps of the sensing method described in the first aspect, and the second device can be used to perform the steps in the sensing method as described in the first aspect. The steps of the sensing method described in the second aspect.
  • a readable storage medium is provided, and programs or instructions are stored on the readable storage medium, and when the programs or instructions are executed by a processor, the steps of the method described in the first aspect are realized, or the steps of the method described in the first aspect are realized, or The steps of the method described in the second aspect.
  • a chip in a tenth aspect, 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 the method as described in the first aspect , or implement the method described in the second aspect.
  • a computer program/program product is provided, the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement the first aspect or the second The steps of the sensing method described in the second aspect.
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; obtains the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The eigenvalues of the covariance matrix or correlation coefficient matrix are decomposed, and based on the eigenvalues obtained from the decomposition, the target perception measurement results are obtained, and then based on the target perception measurement results It can obtain information such as the position and speed of the target object in the target environment, and then realize the wireless perception function in scenarios such as intrusion detection and trajectory tracking.
  • FIG. 1 shows a structural diagram of a communication system applicable to an embodiment of the present application
  • FIG. 2 shows one of the schematic flowcharts of the sensing method in the embodiment of the present application
  • FIG. 3 shows a schematic diagram of a time-domain calculation window in an embodiment of the present application
  • FIG. 4 shows the second schematic flow diagram of the sensing method in the embodiment of the present application
  • FIG. 5 shows one of the module schematic diagrams of the sensing device of the embodiment of the present application
  • FIG. 6 shows the second block diagram of the sensing device of the embodiment of the present application
  • FIG. 7 shows a structural block diagram of a communication device according to an embodiment of the present application.
  • FIG. 8 shows a structural block diagram of a terminal in an embodiment of the present application.
  • FIG. 9 shows one of the structural block diagrams of the network side device in the embodiment of the present application.
  • FIG. 10 shows the second structural block diagram of the network side device according to the embodiment of the present application.
  • first, second and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein and that "first" and “second” distinguish objects. It is usually one category, and the number of objects is not limited. For example, there may be one or more first objects.
  • “and/or” in the description and claims means at least one of the connected objects, and the character “/” generally means that the related objects are an "or” relationship.
  • LTE Long Term Evolution
  • LTE-A Long Term Evolution-Advanced
  • CDMA Code Division Multiple Access
  • TDMA Time Division Multiple Access
  • FDMA Frequency Division Multiple Access
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single-carrier Frequency Division Multiple Access
  • system and “network” in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned system and radio technology, and can also be used for other systems and radio technologies.
  • NR New Radio
  • the following description describes the New Radio (NR) system for illustrative purposes, and uses NR terminology in most of the following descriptions, but these techniques can also be applied to applications other than NR system applications, such as the 6th Generation (6th Generation , 6G) communication system.
  • 6th Generation 6th Generation
  • Fig. 1 shows a block diagram of a wireless communication system to which the embodiment of the present application is applicable.
  • the wireless communication system includes a terminal 11 and a network side device 12 .
  • the terminal 11 may be a mobile phone, a tablet computer (Tablet Personal Computer, TPC), a laptop computer (Laptop Computer, LC) or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a palmtop computer, a netbook, Ultra-mobile Personal Computer (UMPC), Mobile Internet Device (MID), Augmented Reality (AR)/Virtual Reality (VR) equipment, robots, wearable devices (Wearable Device), vehicle-mounted equipment (Vehicle User Equipment, VUE), pedestrian terminal (Pedestrian User Equipment, PUE), smart home (home equipment with wireless communication functions, such as refrigerators, TVs, washing machines or furniture, etc.), game consoles, Personal computer (Personal Computer, PC), teller machine or self-service machine and other terminal-side devices, wearable devices include: smart watch, smart bracelet, smart
  • the network side device 12 may include an access network device or a core network device, where the access network device may also be called a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function, or a radio access network unit.
  • RAN Radio Access Network
  • the access network device may include a base station, a wireless local area network (Wireless Local Area Network, WLAN) access point, or a wireless fidelity (Wireless Fidelity, WiFi) node, etc.
  • the base station may be called a node B, an evolved node B (eNB), an access network Entry point, base transceiver station (Base Transceiver Station, BTS), Radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B, Home Evolved Node B, Transmitting Receiving Point (TRP) or Any other suitable term in the field, as long as the same technical effect is achieved, the base station is not limited to a specific technical vocabulary.
  • the core network equipment may include but not limited to at least one of the following: core network node, core network function, mobility management entity (Mobility Management Entity, MME), access mobility management function (Access and Mobility Management Function, AMF), session management function (Session Management Function, SMF), user plane function (User Plane Function, UPF), policy control function (Policy Control Function, PCF), policy and charging rules function unit (Policy and Charging Rules Function, PCRF), edge application service Discovery function (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data warehouse (Unified Data Repository, UDR), home subscriber server (Home Subscriber Server, HSS), centralized network configuration ( Centralized network configuration, CNC), network storage function (Network Repository Function, NRF), network exposure function (Network Exposure Function, NEF), local NEF (Lobility Management Entity, MME), access mobility management function (Access and Mobility Management Function, AMF), session management function (Session Management Function, SMF), user plane
  • the integration of communication and perception refers to the integrated design of communication and perception functions through spectrum sharing and hardware sharing in the same system. While transmitting information, the system can perceive information such as orientation, distance, and speed, and detect target objects or events. , tracking, identification, communication system and perception system complement each other to improve the overall performance and bring better service experience.
  • Perception capability that is, one or more devices with perception capability, which can perceive the orientation, distance, speed and other information of the target object through the transmission and reception of wireless signals, or detect, track, and detect the target object, event or environment. identification, imaging, etc.
  • the deployment of terahertz and other small base stations with high-frequency and large-bandwidth capabilities in 6G networks will significantly improve the resolution of perception compared to centimeter waves, enabling 6G networks to provide more refined perception services.
  • radar system and communication system were strictly distinguished due to different research objects and focuses. In most scenarios, the two systems were distributed for research. In fact, radar and communication systems are also typical ways of sending, acquiring, processing and exchanging information. There are many similarities in terms of working principle, system architecture and frequency band.
  • the design of communication and radar integration has great feasibility, which is mainly reflected in the following aspects:
  • the communication system and the perception system are both based on the theory of electromagnetic waves, and use the emission and reception of electromagnetic waves to complete information acquisition and transmission;
  • Both the communication system and the perception system have structures such as antennas, transmitters, receivers, and signal processors, and there is a large overlap in hardware resources; with the development of technology, there are more and more overlaps in the working frequency bands between the two;
  • there are similarities in key technologies such as signal modulation, reception detection, and waveform design.
  • the integration of communication and radar systems can bring many advantages, such as saving costs, reducing size, reducing power consumption, improving spectral efficiency, reducing mutual interference, etc., thereby improving the overall system performance.
  • the typical joint design includes spectrum coexistence, that is, the two systems work independently, which can allow information exchange to reduce mutual interference; receiving end sharing, at this time
  • the transmitters of the two systems send their respective signal waveforms, and the waveforms of the two systems need to be orthogonal so as not to affect their respective reception and detection;
  • the transmitters share that is, the transmitter transmits the combined waveform of radar and communication;
  • the transceivers share that is, the two systems transmit and receive
  • the transmitting end transmits signals for sensing, and then receives and analyzes the echo signals by itself to extract sensing parameters.
  • the base station is used as a sensor for sensing
  • the sending end and receiving end of the signal, the terminal or other objects are used as the sensing target; it can also be based on dual-station/multi-station mode sensing, that is, the sending and receiving ends are not co-located, the sending end transmits the signal for sensing, and the other receiving end receives and Analyze and extract sensing parameters, for example, base station 1 is used as a signal sending end for sensing, and the terminal or base station 2 is used as a signal receiving end for sensing.
  • the transmitting end of single-station or multi-station mode sensing may also be a terminal.
  • the communication system needs to jointly send the modulation symbols carrying information and the pilot symbols used for channel estimation, focusing on decoding performance, and its channel estimation algorithm only needs to estimate the composite
  • the channel is usually optimized to improve throughput and transmission reliability.
  • the performance indicators concerned are generally spectral efficiency, channel capacity, signal-to-noise ratio (Signal to Noise Ratio, SNR), signal-to-interference plus noise ratio (Signal-To -Noise And Interference Ratio, SINR), bit error rate (Bit Error Rate, BER), data block error rate (Block Error Rate, BLER) and symbol error rate (Symbol Error Rate, SER), etc.
  • the perception system signal transmission process There is no need to consider the problem of information bearing in this method, usually using optimized or unmodulated transmitted signals, focusing on the changes brought about by the perceived target to the transmitted signal, that is, the response characteristics, usually with the optimization goal of improving the accuracy of parameter estimation, and the performance measurement index may be fuzzy function, Cramerot lower bound, root mean square error, mutual information, rate-distortion function, radar estimated rate, Welch lower bound, and some metrics associated with perception scenarios and needs.
  • the embodiment of this application provides a perception method, including:
  • Step 201 The first device obtains at least one perception measurement result according to the eigenvalues of at least one first matrix, the at least one first matrix is obtained according to a time-frequency domain channel matrix, and the time-frequency domain channel matrix includes a plurality of time-frequency Relevant information of the frequency domain channel response corresponding to the domain sampling point, each of the time-frequency domain channel matrices corresponds to an antenna transceiver combination, and the relevant information of the frequency domain channel response is provided by the first device for the received first signal Obtained by performing channel estimation, the first matrix is a covariance matrix or a correlation coefficient matrix corresponding to the time-frequency domain channel matrix.
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; according to the at least one time-frequency domain channel matrix, at least one first matrix is obtained, and based on The eigenvalues of this first matrix yield the perceptual measurements described above.
  • the above-mentioned first signal may be a sensing signal, or may be a communication signal, and the communication signal can be used for sensing.
  • the first signal may specifically be a signal for acquiring information such as the orientation, distance, and speed of the target object, or a signal for detecting, tracking, identifying, and imaging the target object, event, or environment.
  • the dimension of the time-frequency domain channel matrix is M*N or N*M, where M represents the number of subcarriers (or the number of sampling points in the frequency domain), and N represents the number of sampling points in the time domain. Both M and N are positive integers.
  • the foregoing one antenna transceiving combination may correspond to at least one time-frequency domain channel matrix.
  • Each first matrix corresponds to a time-frequency domain channel matrix.
  • Step 202 The first device obtains a target perception measurement result according to the at least one perception measurement result.
  • the first device can acquire information such as the position and speed of the target object in the target environment.
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; acquires the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The eigenvalues of the covariance matrix or correlation coefficient matrix are decomposed, and based on the eigenvalues obtained by the decomposition, the target perception measurement results are obtained, and then based on the target perception measurement results, the position, speed and other information of the target object in the target environment can be obtained, and then realized.
  • Wireless sensing functions in scenarios such as intrusion detection and trajectory tracking.
  • the first matrix includes at least one of the following:
  • the time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix is the time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix.
  • the first device obtains at least one perception measurement result according to at least one eigenvalue of the first matrix, including:
  • At least one of the largest eigenvalue, all eigenvalues, and target eigenvalues of the first matrix at least one perceptual measurement result is obtained, and the target eigenvalue is the largest eigenvalue removed from all the eigenvalues of the first matrix The largest eigenvalue after the value.
  • the obtaining at least one perceptual measurement result according to at least one of the largest eigenvalue, all eigenvalues, and target eigenvalues of the first matrix includes:
  • At least one perception measurement result is obtained according to a value obtained by subtracting a preset threshold from a ratio between a sum of all eigenvalues of the first matrix and a maximum eigenvalue.
  • a preset threshold the value of the perception measurement result is limited within a preset range.
  • ratio between A and B in the embodiment of the present application includes A to B, or B to A.
  • each element in the time-frequency domain channel matrix includes one of the following:
  • the original complex value of the first result being the quotient or conjugate product of the frequency domain channel response corresponding to the first antenna transceiving combination and the second antenna transceiving combination;
  • At least one of the I-way and Q-way data of the first result At least one of the I-way and Q-way data of the first result
  • one antenna combination for transmitting and receiving antennas may correspond to at least one time-frequency domain channel matrix.
  • the first antenna combination corresponds to the first time-frequency domain channel matrix
  • the type of elements in the first time-frequency domain channel matrix is frequency
  • the first antenna combination corresponds to the second time-frequency domain channel matrix and the third time-frequency domain channel matrix
  • the type of the element in the second time-frequency domain channel matrix is frequency domain channel response
  • the type of the element in the third time-frequency domain channel matrix is the phase of the frequency domain channel response.
  • the amplitude and phase of the frequency domain channel response are obtained according to the original complex value of the frequency domain channel response.
  • the types of elements in at least two time-frequency domain channel matrices corresponding to the same antenna combination are different, and the types of elements in the same time-frequency domain channel matrix are the same.
  • the type of element may refer to the original complex value, amplitude, phase, at least one of the I-channel and Q-channel data of the frequency-domain channel response corresponding to the above-mentioned antenna transceiving combination, the amplitude and phase of the first result, and the like.
  • the first device obtains at least one perception measurement result according to at least one eigenvalue of the first matrix, including:
  • an antenna transceiving combination corresponds to at least two time-frequency domain channel matrices, then a first matrix is obtained according to each time-frequency domain channel matrix, and then the eigenvalues in the obtained at least two first matrices are weighted and merged, The perception measurement result corresponding to the antenna transceiver combination is obtained.
  • the weighted combination processing in the embodiment of the present application includes summing processing and averaging processing.
  • the first device obtains a target perception measurement result according to the at least one perception measurement result, including:
  • the first device uses at least one of the perception measurement results as a target perception measurement result
  • the first device performs weighted combination processing on at least two perception measurement results to obtain a target perception measurement result.
  • the first device obtains a target perception measurement result according to the at least one perception measurement result, including at least one of the following:
  • the perception measurement result that satisfies the first threshold information as the target perception measurement result; for example, use the perception measurement result higher than the first threshold information as the target perception measurement result; in the intrusion detection scenario, if the target perception measurement result satisfies the first If there is a threshold information, it is determined that there is an intrusion in the target environment.
  • the relationship information between the perception measurement result and the first threshold information is used as the target perception measurement result.
  • the relationship information here may be used to indicate whether the perception measurement result is higher than the first threshold information, for example, if it is higher than the first threshold information, report "1", otherwise, report "0".
  • report "1" if it is reported, it indicates that there is an intrusion, and if "0" is reported, it indicates that there is no intrusion.
  • the perception measurement result satisfies the first threshold information, use the difference between the perception measurement result and the first threshold information as the target perception measurement result;
  • the target information obtained according to the time-frequency domain channel matrix is used as the target perception measurement result (that is, when it is judged that there is an intrusion, by Report the target information to obtain the perception measurement results required for intrusion target trajectory tracking);
  • the target information includes at least one of the following:
  • the distance between the target object and the signal transmitting and receiving equipment is the distance between the target object and the signal transmitting and receiving equipment
  • Time delay information from sending to receiving of the first signal is
  • the method of the embodiment of the present application further includes:
  • the first device reports the target perception measurement result or the quantification result of the target perception measurement result to the second device.
  • each antenna combination corresponds to a sensing measurement result.
  • multiple sensing measurement results can be obtained, and the first device can report at least one sensing measurement result to the second device. If the maximum value or the minimum value is selected for reporting, multiple perception measurement results may also be weighted and combined, and then the combined value (that is, the target perception measurement result) is reported to the second device.
  • reporting bits can be effectively reduced.
  • reporting the difference between the perception measurement result and the first threshold information and/or the above target information to the second device can facilitate the second device to perform subsequent first instructions to adjust.
  • the first device reports the target perception measurement result obtained based on at least one perception measurement result to the second device, so that the second device can obtain information such as the position and speed of the target object in the target environment based on the target perception measurement result.
  • the target perception measurement results also include:
  • Time unit information corresponding to the first signal
  • the time unit information includes at least one item of frame number, field frame number, time slot number, and symbol sequence number.
  • the first device before obtaining at least one perception measurement result according to at least one eigenvalue of the first matrix, the first device further includes:
  • first indication information where the first indication information is used to indicate at least one of the following:
  • the perceptual demand information corresponds to at least one of the perceptual measurement quantity, the first threshold information, the configuration information of the first signal, and the related information of the time-frequency domain channel matrix; here, the perceptual demand information can be obtained indirectly At least one of the sensing measurement quantity, the first threshold information, the configuration information of the first signal, and the relevant information of the time-frequency domain channel matrix;
  • a perception measurement where the perception measurement corresponds to the perception measurement result, and the perception measurement is used to instruct the first device to calculate a perception measurement corresponding to the perception measurement according to the first signal;
  • Relevant information of the time-frequency domain channel matrix where the relevant information of the time-frequency domain channel matrix is associated with configuration information of the first signal.
  • the above-mentioned perceived demand information includes at least one of the following:
  • Perception service types for example, intrusion detection, trajectory tracking, environment reconstruction, breathing detection, action recognition, etc.;
  • Sensing area for example, the geographic coordinates of the sensing area, the length, width, height, distance, angle range, etc. of the sensing area;
  • Perceived target types such as cars, motorcycles, pedestrians, etc.
  • the side indicates the moving speed range of the perceived target and the reflected power level of the wireless signal
  • QoS Quality of Service
  • perception/synthetic integration business priority, perception resolution requirements, perception accuracy or perception error requirements, perception delay budget, maximum perception range Requirements for continuous sensing capability, sensing update frequency, detection probability, false alarm probability, missed detection probability, etc.;
  • Communication QoS for synaesthesia integrated services, such as communication delay budget, false alarm rate, etc.
  • the number of sensing targets in the sensing area is the number of sensing targets in the sensing area
  • Sensing target density in the sensing area is Sensing target density in the sensing area.
  • the relevant information of the time-frequency domain channel matrix includes at least one of the following:
  • Time-domain calculation window information including the number of time-domain sampling points, time-domain sampling interval or time-domain sampling position, or the size of the time-domain calculation window corresponding to the time-frequency domain channel matrix H, and the starting point of the time-domain calculation window corresponding to H start time or end time;
  • Frequency domain calculation window information including the number of frequency domain sampling points (number of subcarriers), frequency domain sampling interval or frequency domain sampling position;
  • the sliding step of the time-domain calculation window of the time-frequency domain channel matrix which is used to indicate the start time and/or deadline of the time-domain calculation window of the time-frequency domain channel matrix for the next calculation;
  • the element type indication information of the time-frequency domain channel matrix such as the original complex value type, amplitude type, phase type, etc.
  • the method further includes:
  • the second indication information is sent when the target perception measurement result meets the first threshold information, the second indication information is used to adjust the target parameter in the first indication information .
  • the target parameters include at least one of the following:
  • the perceived demand information for example, adding trajectory tracking and related demand information
  • the perceptual measurement for example, increases measurement quantities such as delay, Doppler, angle, speed, distance, coordinates (position);
  • Configuration information of the first signal such as increasing the time domain density of the first signal, etc.
  • For the relevant information of the time-frequency domain channel matrix for example, increase the number of sampling points in the time domain.
  • the above-mentioned second indication information may be sent so that the first device can perform corresponding measurement on the target object according to the second indication information , to achieve closer tracking and detection.
  • the first device may determine whether the perception measurement result satisfies the first threshold information, and report information related to whether the perception measurement result satisfies the first threshold information to the second device, or the The second device determines whether the perception measurement result satisfies the first threshold information according to the information reported by the first device. For example, the first device obtains three processing the three perception measurement results according to a preset algorithm to obtain a first perception measurement result, judging whether the first perception measurement result satisfies the first threshold information, and will be used to indicate the first perception measurement result Indication information indicating whether the result meets the first threshold information is sent to the second device. Alternatively, the second device may process the three perception measurement results according to a preset algorithm to obtain a first perception measurement result, and determine whether the first perception measurement result satisfies the first threshold information.
  • the sending and receiving methods of the first signal include the following methods
  • the first device may be a base station or UE
  • the second device may be a core network
  • the sensing network function device or sensing network element can also be a base station or a UE.
  • Mode 1 base station A sends a signal for sensing, and base station B receives the signal for sensing.
  • Method 2 The base station sends the signal for sensing, and the core network equipment receives the signal for sensing.
  • Mode 3 the base station sends a signal for sensing, and the UE receives the signal for sensing.
  • Mode 4 The core network sends a signal for sensing, and the base station or UE receives the signal for sensing.
  • Mode 4 The base station sends and receives messages spontaneously.
  • Mode 5 UE sends and receives spontaneously.
  • Mode 6 UE transmits, base station or core network equipment receives.
  • the signal sending device in the embodiment of the present application can be a plurality of devices, and the signal receiving device can be a plurality of devices; the above-mentioned base station can also be a TRP, a wireless access point (Access Point, AP), a relay (Relay), an intelligent super Surface (Reconfigurable Intelligence Surface, RIS), etc.
  • the sensing method specifically includes:
  • Step 1 The first device performs channel estimation after receiving the first signal, for example, performs least squares (Least Squares, LS) channel estimation or minimum mean square error (Mean Square Model Error, MMSE) channel estimation to obtain different antenna pair combinations
  • least squares Least Squares, LS
  • minimum mean square error Mean Square Model Error, MMSE
  • H_tx1_rx1 indicates the second channel matrix corresponding to the combination of transmitting and receiving antennas, transmitting antenna 1 and receiving antenna 1, and so on.
  • the method for determining the time-domain calculation window and the frequency-domain calculation window of the second channel matrix or the time-frequency domain channel matrix is as follows:
  • the above parameters may be directly indicated by the time-frequency domain channel matrix H related information in the first indication information sent by the second device to the first device, or may be based on the first information sent by the second device to the first device. Perceived need information identified in indication information.
  • the first device selects sampling points corresponding to all or part of the subcarriers from the received first signal corresponding to all subcarriers as the frequency domain calculation window, assuming that there are a total of M subcarriers, which may be continuous or discontinuous, For example, equidistant selection.
  • Step 3 Perform data preprocessing on H, including at least one of the following:
  • Noise suppression to suppress noise in the target data, methods such as transform domain noise suppression (Discrete Fourier Transform, DFT), average noise suppression, MMSE filter noise suppression, discrete wavelet transform (Discrete Wavelet Transformation, DWT) noise suppression, principal components Analysis (Principal Component Analysis, PCA) noise suppression, etc.;
  • DFT Discrete Fourier Transform
  • MMSE discrete wavelet transform
  • DWT discrete Wavelet Transformation
  • PCA Principal Component Analysis
  • Eliminate outliers remove outliers in the target data, the processing of outliers can be discarded or replaced, the method can be, for example: absolute median deviation (Median Absolute Deviation, MAD) algorithm or Hampel (Hampel) ) filtering method, standard deviation method, percentile method, etc.;
  • MAD Median Absolute Deviation
  • HDP Hampel
  • Filtering smoothing filtering, such as Savitzky-Golay filtering, or low-pass filtering, high-pass filtering, band-pass filtering or band-stop filtering to filter out irrelevant frequency components.
  • Step 4 Taking the covariance matrix in the frequency domain as an example, calculate the covariance matrix H cov in the frequency domain according to the channel matrix H in the time-frequency domain, and the dimension is M*M, which can be expressed as:
  • x m [x m (1), x m (2),..., x m (N)] represents the m-th row vector of the time-frequency domain channel matrix, that is, the N time-domain samples corresponding to the m-th subcarrier data.
  • cov means covariance calculation
  • Step 5 Decompose the eigenvalues of H cov to obtain M eigenvalues and arrange them in descending order as ⁇ 1 , ⁇ 2 ,..., ⁇ M , further, calculate the perceptual measurement results, taking the ratio of eigenvalues as an example, it can be :
  • the purpose of subtracting 1 is to limit the value of the result to within 1;
  • the purpose of subtracting 1 is to limit the value of the result to within 1;
  • the perception measurement result can be a weighted combination of the eigenvalues of the amplitude covariance matrix and the eigenvalues of the phase covariance matrix, for example: ⁇ amp 1 + ⁇ phase 1 ; ⁇ amp 2 + ⁇ phase 2 ;
  • Step 6 The quotients of the second channel matrix corresponding to different antenna combinations can obtain multiple perceptual measurement results, for example, corresponding to H1-H6, a total of 6 perceptual measurement results can be obtained, and the maximum value or minimum value can be selected, or for These perceptual measurements are weighted and combined.
  • Step 7 The situation of obtaining the perception measurement results based on the eigenvalue decomposition of the frequency-domain correlation coefficient matrix is the same as above, where the correlation coefficient matrix H corr , with a dimension of M*M, can be expressed as:
  • x m [x m (1), x m (2),..., x m (N)] represents the m-th row vector of the time-frequency domain channel matrix, that is, the N time-domain samples corresponding to the m-th subcarrier data.
  • Corr means correlation coefficient calculation
  • x n [x n (1), x n (2),..., x n (M)] represents the nth column vector of the time-frequency domain channel matrix, that is, the M sub-components corresponding to the nth time-domain sampling point carrier data.
  • the time-domain correlation coefficient matrix H corr has a dimension of N*N, which can be expressed as:
  • x n [x n (1), x n (2),..., x n (M)] represents the nth column vector of the time-frequency domain channel matrix, that is, the M sub-components corresponding to the nth time-domain sampling point carrier data.
  • Step 8 According to the sliding step in step 1, select the time domain calculation window 2 to calculate the corresponding perception measurement results, and so on to obtain the perception measurement results corresponding to different time domain calculation windows.
  • the receiving end performs operations based on received signals to obtain information related to characteristic values of a specific matrix, and implements wireless sensing functions such as intrusion detection based on such characteristic information.
  • the embodiment of the present application also provides a sensing method, including:
  • Step 401 the second device acquires a target perception measurement result
  • the target perception measurement result is obtained by the first device according to at least one perception measurement result, and the perception measurement result is obtained according to an eigenvalue of a first matrix, and the first matrix corresponds to a channel matrix in the time-frequency domain.
  • the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain channel matrix corresponds to an antenna transceiver combination, the The relevant information of the channel response in the frequency domain is obtained by the first device performing channel estimation on the received first signal.
  • the above-mentioned first signal may be a sensing signal, or may be a communication signal, and the communication signal can be used for sensing.
  • the first signal may specifically be a signal for acquiring information such as the orientation, distance, and speed of the target object, or a signal for detecting, tracking, identifying, and imaging the target object, event, or environment.
  • the first device reports the target perception measurement result obtained based on at least one perception measurement result to the second device, so that the second device can obtain information such as the position and speed of the target object in the target environment based on the target perception measurement result.
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; acquires the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The eigenvalues of the covariance matrix or the correlation coefficient matrix are decomposed, and based on the eigenvalues obtained by the decomposition, the target perception measurement results are obtained and reported to the second device, so that the second device can analyze the eigenvalues to obtain the target object in the target environment
  • the location, speed and other information of the mobile phone can realize the wireless perception function in scenarios such as intrusion detection and trajectory tracking.
  • the second device before the second device acquires the target perception measurement result, it may further include:
  • Sensing requirement information where the sensing requirement information corresponds to at least one of the sensing measurement quantity, the first threshold information, the configuration information of the first signal, and the relevant information of the time-frequency domain channel matrix;
  • the method further includes:
  • the target perception measurement result satisfies the first threshold information, sending second indication information, where the second indication information is used to adjust the target parameter in the first indication information.
  • the target parameters include at least one of the following:
  • the relevant information of the time-frequency domain channel matrix includes at least one of the following:
  • the target perception measurement results include at least one of the following:
  • the target information obtained according to the time-frequency domain channel matrix is reported when the perception measurement result satisfies the first threshold information;
  • the target information includes at least one of the following:
  • the distance between the target object and the signal transmitting and receiving equipment is the distance between the target object and the signal transmitting and receiving equipment
  • Time delay information from sending to receiving of the first signal is
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; acquires the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The eigenvalues of the covariance matrix or the correlation coefficient matrix are decomposed, and based on the eigenvalues obtained by the decomposition, the target perception measurement results are obtained and reported to the second device, so that the second device can analyze the eigenvalues to obtain the target object in the target environment
  • the location, speed and other information of the mobile phone can realize the wireless perception function in scenarios such as intrusion detection and trajectory tracking.
  • the sensing method provided in the embodiment of the present application may be executed by a sensing device.
  • the sensing device provided in the embodiment of the present application is described by taking the sensing device executing the sensing method as an example.
  • the embodiment of the present application provides a sensing device 500, which is applied to the first device, and the device includes:
  • the first obtaining module 501 obtains at least one perception measurement result according to the eigenvalues of at least one first matrix, the at least one first matrix is obtained according to the time-frequency domain channel matrix, and the time-frequency domain channel matrix includes a plurality of time-frequency Relevant information of the frequency domain channel response corresponding to the domain sampling point, each of the time-frequency domain channel matrices corresponds to an antenna transceiver combination, and the relevant information of the frequency domain channel response is provided by the first device for the received first signal Obtained by performing channel estimation, the first matrix is a covariance matrix or a correlation coefficient matrix corresponding to the time-frequency domain channel matrix;
  • the second obtaining module 502 is configured to obtain a target perception measurement result according to the at least one perception measurement result.
  • the first matrix includes at least one of the following:
  • the time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix is the time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix.
  • the first obtaining module is configured to obtain at least one perceptual measurement result according to at least one of the largest eigenvalue, all eigenvalues, and target eigenvalues of the first matrix, and the target eigenvalue is The largest eigenvalue after removing the largest eigenvalue among all the eigenvalues of the first matrix.
  • the first obtaining module is configured to obtain at least one perceptual measurement result according to a weighted combined value of the maximum eigenvalue of the first matrix and the target eigenvalue; or,
  • At least one perception measurement result is obtained according to a value obtained by subtracting a preset threshold from a ratio between a sum of all eigenvalues of the first matrix and a maximum eigenvalue.
  • each element in the time-frequency domain channel matrix includes one of the following:
  • the original complex value of the first result being the quotient or conjugate product of the frequency domain channel response corresponding to the first antenna transceiving combination and the second antenna transceiving combination;
  • At least one of the I-way and Q-way data of the first result At least one of the I-way and Q-way data of the first result
  • the first obtaining module is configured to perform weighted combination processing on the eigenvalues in at least two first matrices to obtain the perceptual measurement result.
  • the second obtaining module is configured to use at least one of the perception measurement results or a quantified value of at least one perception measurement result as a target perception measurement result;
  • weighted combination processing is performed on at least two perception measurement results to obtain a target perception measurement result.
  • the second acquisition module is configured to perform at least one of the following:
  • the perception measurement result satisfies the first threshold information, use the difference between the perception measurement result and the first threshold information as the target perception measurement result;
  • the target information includes at least one of the following:
  • the distance between the target object and the signal transmitting and receiving equipment is the distance between the target object and the signal transmitting and receiving equipment
  • Time delay information from sending to receiving of the first signal is
  • the device also includes:
  • a reporting module configured to report the target perception measurement result or the quantification result of the target perception measurement result to the second device.
  • the target perception measurement results also include:
  • Time unit information corresponding to the first signal
  • the device also includes:
  • the first receiving module is configured to receive first indication information before the first acquisition module obtains at least one perception measurement result according to at least one eigenvalue of the first matrix, and the first indication information is used to indicate at least one of the following:
  • Sensing requirement information where the sensing requirement information corresponds to at least one of the sensing measurement quantity, the first threshold information, the configuration information of the first signal, and the relevant information of the time-frequency domain channel matrix;
  • the device also includes:
  • the second receiving module is configured to receive second indication information after the reporting module reports the target perception measurement result or the quantification result of the target perception measurement result to the second device, and the second indication information is in the target perception measurement It is sent when the result meets the first threshold information, and the second indication information is used to adjust the target parameter in the first indication information.
  • the target parameters include at least one of the following:
  • the relevant information of the time-frequency domain channel matrix includes at least one of the following:
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; acquires the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The eigenvalues of the covariance matrix or correlation coefficient matrix are decomposed, and based on the eigenvalues obtained by the decomposition, the target perception measurement results are obtained, and then based on the target perception measurement results, the position, speed and other information of the target object in the target environment can be obtained, and then realized.
  • Wireless sensing functions in scenarios such as intrusion detection and trajectory tracking.
  • the embodiment of the present application also provides a sensing device 600, which is applied to the second device, and the device includes:
  • the target perception measurement result is obtained by the first device according to at least one perception measurement result, and the perception measurement result is obtained according to an eigenvalue of a first matrix
  • the first matrix is A covariance matrix or a correlation coefficient matrix corresponding to a time-frequency domain channel matrix, the time-frequency domain channel matrix including relevant information of a frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain channel matrices corresponding to An antenna transceiving combination, the relevant information of the frequency domain channel response is obtained by the first device performing channel estimation on the received first signal.
  • the device of the embodiment of the present application further includes:
  • the first sending module is configured to send first indication information before the third acquisition module acquires the target perception measurement result, and the first indication information is used to indicate at least one of the following:
  • Sensing requirement information where the sensing requirement information corresponds to at least one of the sensing measurement quantity, the first threshold information, the configuration information of the first signal, and the relevant information of the time-frequency domain channel matrix;
  • the device of the embodiment of the present application further includes:
  • the second sending module is configured to send second indication information when the target perception measurement result meets the first threshold information after the third acquisition module acquires the target perception measurement result, and the second indication information is used for adjusting A target parameter in the first indication information.
  • the target parameters include at least one of the following:
  • the relevant information of the time-frequency domain channel matrix includes at least one of the following:
  • the target perception measurement results include at least one of the following:
  • the target information obtained according to the time-frequency domain channel matrix is reported when the perception measurement result satisfies the first threshold information;
  • the target information includes at least one of the following:
  • the distance between the target object and the signal transmitting and receiving equipment is the distance between the target object and the signal transmitting and receiving equipment
  • Time delay information from sending to receiving of the first signal is
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; acquires the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The eigenvalues of the covariance matrix or the correlation coefficient matrix are decomposed, and based on the eigenvalues obtained by the decomposition, the target perception measurement results are obtained and reported to the second device, so that the second device can analyze the eigenvalues to obtain the target object in the target environment
  • the location, speed and other information of the mobile phone can realize the wireless perception function in scenarios such as intrusion detection and trajectory tracking.
  • the sensing device in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or a component in the electronic device, such as an integrated circuit or a chip.
  • the electronic device may be a terminal, or other devices other than the terminal.
  • the terminal may include, but not limited to, the types of terminal 11 listed above, and other devices may be servers, Network Attached Storage (NAS), etc., which are not specifically limited in this embodiment of the present application.
  • NAS Network Attached Storage
  • the sensing device provided by the embodiment of the present application can implement the various processes realized by the method embodiments shown in FIG. 2 to FIG. 3 and achieve the same technical effect. To avoid repetition, details are not repeated here.
  • this embodiment of the present application also provides a communication device 700, including a processor 701 and a memory 702, and the memory 702 stores programs or instructions that can run on the processor 701, for example
  • the communication device 700 is the first device, when the program or instruction is executed by the processor 701, each step of the above method embodiment on the first device side can be implemented, and the same technical effect can be achieved.
  • the communication device 700 is the second device, the program or instruction is executed by the processor 701
  • Each step of the above-mentioned method embodiment on the second device side can be implemented at the same time, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.
  • the embodiment of the present application also provides a first device, including a processor and a communication interface, and the processor is used to obtain at least one perception measurement result according to at least one eigenvalue of the first matrix; according to the at least one perception measurement result, obtain the target Perceptual measurement results, the at least one first matrix is obtained according to the time-frequency domain channel matrix, and the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain
  • the domain channel matrix corresponds to an antenna transceiver combination, and the relevant information of the frequency domain channel response is obtained by channel estimation of the received first signal by the first device, and the first matrix corresponds to the time-frequency domain channel matrix
  • the covariance matrix or correlation coefficient matrix of corresponds to the above-mentioned first device-side method embodiment, and each implementation process and implementation manner of the above-mentioned method embodiment can be applied to this embodiment, and can achieve the same technical effect.
  • the embodiment of the present application also provides a second device, including a processor and a communication interface, where the communication interface is used to acquire target perception measurement results;
  • the target perception measurement result is obtained by the first device according to at least one perception measurement result, and the perception measurement result is obtained according to an eigenvalue of a first matrix
  • the first matrix corresponds to a channel matrix in the time-frequency domain.
  • Covariance matrix or correlation coefficient matrix the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain channel matrix corresponds to an antenna transceiver combination, the The relevant information of the channel response in the frequency domain is obtained by the first device performing channel estimation on the received first signal.
  • the second device embodiment corresponds to the above-mentioned method embodiment on the second device side, and each implementation process and implementation mode of the above-mentioned method embodiment can be applied to the second device embodiment, and can achieve the same technical effect.
  • FIG. 8 is a schematic diagram of a hardware structure of a first device or a second device (specifically, a terminal) implementing an embodiment of the present application.
  • the terminal 800 includes but not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809, and a processor 810, etc. At least some parts.
  • the terminal 800 may also include a power supply (such as a battery) for supplying power to various components, and the power supply may be logically connected to the processor 810 through the power management system, so as to manage charging, discharging, and power consumption through the power management system. Management and other functions.
  • Figure 8 shows the final The terminal structure does not constitute a limitation on the terminal, and the terminal may include more or less components than those shown in the figure, or combine some components, or arrange different components, which will not be repeated here.
  • the input unit 804 may include a graphics processing unit (Graphics Processing Unit, GPU) 8041 and a microphone 8042, and the graphics processor 8041 is used in a video capture mode or an image capture mode by an image capture device (such as the image data of the still picture or video obtained by the camera) for processing.
  • the display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like.
  • the user input unit 807 includes at least one of a touch panel 8071 and other input devices 8072 .
  • the touch panel 8071 is also called a touch screen.
  • the touch panel 8071 may include two parts, a touch detection device and a touch controller.
  • Other input devices 8072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, and joysticks, which will not be repeated here.
  • the radio frequency unit 801 may transmit the downlink data from the network side device to the processor 810 for processing after receiving the downlink data; in addition, the radio frequency unit 801 may send uplink data to the network side device.
  • the radio frequency unit 801 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.
  • the memory 809 can be used to store software programs or instructions as well as various data.
  • the memory 809 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required by at least one function (such as a sound playing function, image playback function, etc.), etc.
  • memory 809 may include volatile memory or nonvolatile memory, or, memory 809 may include both volatile and nonvolatile memory.
  • the non-volatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM, PROM), an erasable programmable read-only memory (Erasable PROM, EPROM), an electronically programmable Erase Programmable Read-Only Memory (Electrically EPROM, EEPROM) or Flash.
  • ROM Read-Only Memory
  • PROM programmable read-only memory
  • Erasable PROM Erasable PROM
  • EPROM electronically programmable Erase Programmable Read-Only Memory
  • Flash Flash
  • Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (Synch link DRAM , SLDRAM) and Direct Memory Bus Random Access Memory (Direct Rambus RAM, DRRAM).
  • RAM Random Access Memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • DRAM synchronous dynamic random access memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double Data Rate SDRAM Double Data Rate SDRAM
  • DDRSDRAM double data rate synchronous dynamic random access memory
  • Enhanced SDRAM, ESDRAM enhanced synchronous dynamic random access memory
  • Synch link DRAM , SLDRAM
  • Direct Memory Bus Random Access Memory Direct Rambus
  • the processor 810 may include one or more processing units; optionally, the processor 810 integrates an application processor and a modem processor, wherein the application processor mainly handles operations related to the operating system, user interface, and application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the foregoing modem processor may not be integrated into the processor 810 .
  • the processor 810 is configured to obtain at least one perception measurement result according to the eigenvalues of at least one first matrix, the at least one first matrix is obtained according to the time-frequency domain channel matrix, and the time-frequency
  • the frequency-domain channel matrix includes relevant information of frequency-domain channel responses corresponding to multiple time-frequency domain sampling points, each of the time-frequency domain channel matrices corresponds to an antenna transceiver combination, and the relevant information of the frequency-domain channel responses is provided by the first
  • a device performs channel estimation on the received first signal, and the first matrix is a covariance matrix or a correlation coefficient matrix corresponding to the time-frequency domain channel matrix; according to the at least one perception measurement result, a target perception measurement is obtained result.
  • the first matrix includes at least one of the following:
  • the time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix is the time-domain correlation coefficient matrix corresponding to the time-frequency domain channel matrix.
  • the processor 810 is configured to obtain at least one perceptual measurement result according to at least one of the largest eigenvalue, all eigenvalues, and target eigenvalues of the first matrix, where the target eigenvalue is all The largest eigenvalue after removing the largest eigenvalue among all the eigenvalues of the first matrix.
  • the processor 810 is configured to obtain at least one perception measurement result according to a weighted combined value of the largest eigenvalue of the first matrix and the target eigenvalue; or,
  • At least one perception measurement result is obtained according to a value obtained by subtracting a preset threshold from a ratio between a sum of all eigenvalues of the first matrix and a maximum eigenvalue.
  • each element in the time-frequency domain channel matrix includes one of the following:
  • the original complex value of the first result being the quotient or conjugate product of the frequency domain channel response corresponding to the first antenna transceiving combination and the second antenna transceiving combination;
  • At least one of the I-way and Q-way data of the first result At least one of the I-way and Q-way data of the first result
  • the processor 810 is configured to perform weighted combination processing on the eigenvalues in at least two first matrices to obtain the perception measurement result.
  • the processor 810 is configured to use at least one of the perception measurement results as a target perception measurement result
  • the first device performs weighted combination processing on at least two perception measurement results to obtain a target perception measurement result.
  • the processor 810 is configured to perform at least one of the following:
  • the perception measurement result satisfies the first threshold information, use the difference between the perception measurement result and the first threshold information as the target perception measurement result;
  • the target information includes at least one of the following:
  • the distance between the target object and the signal transmitting and receiving equipment is the distance between the target object and the signal transmitting and receiving equipment
  • Time delay information from sending to receiving of the first signal is
  • the radio frequency unit 801 is used for:
  • the target perception measurement results also include:
  • Time unit information corresponding to the first signal
  • the radio frequency unit 801 is also used for:
  • first indication information where the first indication information is used to indicate at least one of the following:
  • Sensing requirement information where the sensing requirement information corresponds to at least one of the sensing measurement quantity, the first threshold information, the configuration information of the first signal, and the relevant information of the time-frequency domain channel matrix;
  • the radio frequency unit 801 is also used for:
  • the second indication information is sent when the target perception measurement result meets the first threshold information, the second indication information is used to adjust the target parameter in the first indication information .
  • the target parameter is at least one of the following:
  • the relevant information of the time-frequency domain channel matrix includes at least one of the following:
  • the radio frequency unit 801 is configured to obtain target perception measurement results
  • the target perception measurement result is obtained by the first device according to at least one perception measurement result, and the perception measurement result is obtained according to an eigenvalue of a first matrix, and the first matrix corresponds to a channel matrix in the time-frequency domain.
  • the time-frequency domain channel matrix includes relevant information of the frequency domain channel response corresponding to a plurality of time-frequency domain sampling points, each of the time-frequency domain channel matrix corresponds to an antenna transceiver combination, the The relevant information of the channel response in the frequency domain is obtained by the first device performing channel estimation on the received first signal.
  • the radio frequency unit 801 is also used for:
  • Sensing requirement information where the sensing requirement information corresponds to at least one of the sensing measurement quantity, the first threshold information, the configuration information of the first signal, and the relevant information of the time-frequency domain channel matrix;
  • the radio frequency unit 801 is further configured to send second indication information when the target perception measurement result satisfies the first threshold information, and the second indication information is used to adjust the first indication information target parameters in .
  • the target parameters include at least one of the following:
  • the relevant information of the time-frequency domain channel matrix includes at least one of the following:
  • the reported information includes at least one of the following:
  • the target information obtained according to the time-frequency domain channel matrix is reported when the perception measurement result satisfies the first threshold information;
  • the target information includes at least one of the following:
  • the distance between the target object and the signal transmitting and receiving equipment is the distance between the target object and the signal transmitting and receiving equipment
  • Time delay information from sending to receiving of the first signal is
  • the first device performs channel estimation processing on the received first signal to obtain at least one time-frequency domain channel matrix; acquires the covariance matrix or correlation coefficient matrix corresponding to the time-frequency domain channel matrix; The eigenvalues of the covariance matrix or correlation coefficient matrix are decomposed, and based on the eigenvalues obtained by the decomposition, the target perception measurement results are obtained, and then based on the target perception measurement results, the position, speed and other information of the target object in the target environment can be obtained, and then realized.
  • Wireless sensing functions in scenarios such as intrusion detection and trajectory tracking.
  • the embodiment of the present application also provides a network side device (which may specifically be the first device or the second device).
  • the network side device 900 includes: an antenna 91 , a radio frequency device 92 , a baseband device 93 , a processor 94 and a memory 95 .
  • the antenna 91 is connected to a radio frequency device 92 . on the uplink In the direction, the radio frequency device 92 receives information through the antenna 91, and sends the received information to the baseband device 93 for processing.
  • the baseband device 93 processes the information to be sent and sends it to the radio frequency device 92 , and the radio frequency device 92 processes the received information and sends it out through the antenna 91 .
  • the method performed by the first device or the second device in the above embodiments may be implemented in the baseband device 93, where the baseband device 93 includes a baseband processor.
  • the baseband device 93 can include at least one baseband board, for example, a plurality of chips are arranged on the baseband board, as shown in FIG.
  • the program executes the network device operations shown in the above method embodiments.
  • the network side device may also include a network interface 96, such as a common public radio interface (common public radio interface, CPRI).
  • a network interface 96 such as a common public radio interface (common public radio interface, CPRI).
  • the network-side device 900 in this embodiment of the present application further includes: instructions or programs stored in the memory 95 and operable on the processor 94, and the processor 94 calls the instructions or programs in the memory 95 to execute FIG. 5 or FIG. 6
  • the methods executed by each module shown in the figure achieve the same technical effect, so in order to avoid repetition, they are not repeated here.
  • the embodiment of the present application also provides a network side device (which may specifically be the first device or the second device).
  • the network side device 1000 includes: a processor 1001 , a network interface 1002 and a memory 1003 .
  • the network interface 1002 is, for example, a common public radio interface (common public radio interface, CPRI).
  • the network-side device 1000 in the embodiment of the present application further includes: instructions or programs stored in the memory 1003 and executable on the processor 1001, and the processor 1001 invokes the instructions or programs in the memory 1003 to execute FIG. 5 or FIG. 6
  • the methods executed by each module shown in the figure achieve the same technical effect, so in order to avoid repetition, they are not repeated here.
  • the embodiment of the present application also provides a readable storage medium, the readable storage medium stores a program or an instruction, and when the program or instruction is executed by a processor, each process of the above-mentioned perception method embodiment is realized, and the same Technical effects, in order to avoid repetition, will not be repeated here.
  • the processor is the processor in the terminal described in the foregoing embodiments.
  • the readable storage medium includes a computer-readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk, and the like.
  • the embodiment of the present application further provides a chip, the chip 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 the various aspects of the above sensing method embodiments process, and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.
  • the chip mentioned in the embodiment of the present application may also be called a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip.
  • the embodiment of the present application further provides a computer program/program product, the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement the above-mentioned perception method embodiment
  • Each process can achieve the same technical effect, so in order to avoid repetition, it will not be repeated here.
  • An embodiment of the present application also provides a sensing system, including: a first device and a second device, the first device can be used to perform the steps of the sensing method on the first device side as described above, and the second device can To execute the steps of the sensing method on the second device side as described above.
  • the term “comprising”, “comprising” or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase “comprising a " does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.
  • 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, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

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Abstract

本申请公开了一种感知方法、装置及通信设备，属于通信技术领域，本申请实施例的感知方法包括：第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息根据所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果。

Description

感知方法、装置及通信设备
相关申请的交叉引用
本申请主张在2022年2月25日在中国提交的中国专利申请No.202210178898.6的优先权，其全部内容通过引用包含于此。
技术领域
本申请涉及通信技术领域，特别涉及一种感知方法、装置及通信设备。
背景技术
未来移动通信系统，除了具备通信能力外，还将具备感知能力。感知能力，即具备感知能力的一个或多个设备，能够通过无线信号的发送和接收，来感知目标物体的方位、距离、速度等信息，或者对目标物体、事件或环境等进行检测、跟踪、识别、成像等。目前感知功能种类繁多，但如何实现入侵检测、轨迹追踪等场景中的感知功能尚无明确方案。
发明内容
本申请实施例提供了一种感知方法、装置及通信设备，能够解决如何实现入侵检测、轨迹追踪等场景中的感知功能的问题。
第一方面，提供了一种感知方法，包括：
第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；
所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果。
第二方面，提供了一种感知方法，包括：
第二设备获取目标感知测量结果；
其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
第三方面，提供了一种感知装置，包括：
第一获取模块，用于根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；
第二获取模块，用于根据所述至少一个感知测量结果，得到目标感知测量结果。
第四方面，提供了一种感知装置，包括：
第三获取模块，用于获取目标感知测量结果；
其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
第五方面，提供了一种通信设备，该通信设备包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如第一方面或第二方面所述的感知方法的步骤。
第六方面，提供了一种第一设备，包括处理器及通信接口，其中，所述处理器用于根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括 多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；根据所述至少一个感知测量结果，得到目标感知测量结果。
第七方面，提供了一种第二设备，包括处理器及通信接口，其中，所述通信接口用于获取目标感知测量结果；
其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
第八方面，提供了一种感知系统，包括：第一设备及第二设备，所述第一设备可用于执行如第一方面所述的感知方法的步骤，所述第二设备可用于执行如第二方面所述的感知方法的步骤。
第九方面，提供了一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如第一方面所述的方法的步骤，或者实现如第二方面所述的方法的步骤。
第十方面，提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如第一方面所述的方法，或实现如第二方面所述的方法。
第十一方面，提供了一种计算机程序/程序产品，所述计算机程序/程序产品被存储在存储介质中，所述计算机程序/程序产品被至少一个处理器执行以实现如第一方面或第二方面所述的感知方法的步骤。
在本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；获取所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；对该协方差矩阵或相关系数矩阵的特征值进行分解，基于分解得到的特征值，得到目标感知测量结果，进而基于该目标感知测量结果 能够得到目标环境中目标对象的位置、速度等信息，进而实现了入侵检测、轨迹追踪等场景中的无线感知功能。
附图说明
图1表示本申请实施例可应用的一种通信系统的结构图；
图2表示本申请实施例的感知方法的流程示意图之一；
图3表示本申请实施例中时域计算窗口的示意图；
图4表示本申请实施例的感知方法的流程示意图之二；
图5表示本申请实施例的感知装置的模块示意图之一；
图6表示本申请实施例的感知装置的模块示意图之二；
图7表示本申请实施例的通信设备的结构框图；
图8表示本申请实施例的终端的结构框图；
图9表示本申请实施例的网络侧设备的结构框图之一；
图10表示本申请实施例的网络侧设备的结构框图之二。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别类似的对象，而不用于描述特定的顺序或先后次序。应该理解这样使用的术语在适当情况下可以互换，以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施，且“第一”、“第二”所区别的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”一般表示前后关联对象是一种“或”的关系。
值得指出的是，本申请实施例所描述的技术不限于长期演进型(Long Term Evolution，LTE)/LTE的演进(LTE-Advanced，LTE-A)系统，还可用 于其他无线通信系统，诸如码分多址(Code Division Multiple Access，CDMA)、时分多址(Time Division Multiple Access，TDMA)、频分多址(Frequency Division Multiple Access，FDMA)、正交频分多址(Orthogonal Frequency Division Multiple Access，OFDMA)、单载波频分多址(Single-carrier Frequency Division Multiple Access，SC-FDMA)和其他系统。本申请实施例中的术语“系统”和“网络”常被可互换地使用，所描述的技术既可用于以上提及的系统和无线电技术，也可用于其他系统和无线电技术。以下描述出于示例目的描述了新空口(New Radio，NR)系统，并且在以下大部分描述中使用NR术语，但是这些技术也可应用于NR系统应用以外的应用，如第6代(6th Generation，6G)通信系统。
图1示出本申请实施例可应用的一种无线通信系统的框图。无线通信系统包括终端11和网络侧设备12。其中，终端11可以是手机、平板电脑(Tablet Personal Computer，TPC)、膝上型电脑(Laptop Computer，LC)或称为笔记本电脑、个人数字助理(Personal Digital Assistant，PDA)、掌上电脑、上网本、超级移动个人计算机(Ultra-mobile Personal Computer，UMPC)、移动上网装置(Mobile Internet Device，MID)、增强现实(Augmented Reality，AR)/虚拟现实(Virtual Reality，VR)设备、机器人、可穿戴式设备(Wearable Device)、车载设备(Vehicle User Equipment，VUE)、行人终端(Pedestrian User Equipment，PUE)、智能家居(具有无线通信功能的家居设备，如冰箱、电视、洗衣机或者家具等)、游戏机、个人计算机(Personal Computer，PC)、柜员机或者自助机等终端侧设备，可穿戴式设备包括：智能手表、智能手环、智能耳机、智能眼镜、智能首饰(智能手镯、智能手链、智能戒指、智能项链、智能脚镯、智能脚链等)、智能腕带、智能服装等。需要说明的是，在本申请实施例并不限定终端11的具体类型。网络侧设备12可以包括接入网设备或核心网设备，其中，接入网设备也可以称为无线接入网设备、无线接入网(Radio Access Network，RAN)、无线接入网功能或无线接入网单元。接入网设备可以包括基站、无线局域网(Wireless Local Area Network，WLAN)接入点或无线保真(Wireless Fidelity，WiFi)节点等，基站可被称为节点B、演进节点B(eNB)、接入点、基收发机站(Base Transceiver Station，BTS)、 无线电基站、无线电收发机、基本服务集(Basic Service Set，BSS)、扩展服务集(Extended Service Set，ESS)、家用B节点、家用演进型B节点、发送接收点(Transmitting Receiving Point，TRP)或所述领域中其他某个合适的术语，只要达到相同的技术效果，所述基站不限于特定技术词汇，需要说明的是，在本申请实施例中仅以NR系统中的基站为例进行介绍，并不限定基站的具体类型。核心网设备可以包含但不限于如下至少一项：核心网节点、核心网功能、移动管理实体(Mobility Management Entity，MME)、接入移动管理功能(Access and Mobility Management Function，AMF)、会话管理功能(Session Management Function，SMF)、用户平面功能(User Plane Function，UPF)、策略控制功能(Policy Control Function，PCF)、策略与计费规则功能单元(Policy and Charging Rules Function，PCRF)、边缘应用服务发现功能(Edge Application Server Discovery Function，EASDF)、统一数据管理(Unified Data Management，UDM)，统一数据仓储(Unified Data Repository，UDR)、归属用户服务器(Home Subscriber Server，HSS)、集中式网络配置(Centralized network configuration，CNC)、网络存储功能(Network Repository Function，NRF)，网络开放功能(Network Exposure Function，NEF)、本地NEF(Local NEF，或L-NEF)、绑定支持功能(Binding Support Function，BSF)、应用功能(Application Function，AF)等。需要说明的是，在本申请实施例中仅以NR系统中的核心网设备为例进行介绍，并不限定核心网设备的具体类型。
为使本领域技术人员能够更好地理解本申请实施例，先进行如下说明。
通信感知一体化即在同一系统中通过频谱共享与硬件共享，实现通信、感知功能一体化设计，系统在进行信息传递的同时，能够感知方位、距离、速度等信息，对目标物体或事件进行检测、跟踪、识别，通信系统与感知系统相辅相成，实现整体性能上的提升并带来更好的服务体验。
未来移动通信系统例如B5G系统或6G系统除了具备通信能力外，还将具备感知能力。感知能力，即具备感知能力的一个或多个设备，能够通过无线信号的发送和接收，来感知目标物体的方位、距离、速度等信息，或者对目标物体、事件或环境等进行检测、跟踪、识别、成像等。未来随着毫米波、 太赫兹等具备高频段大带宽能力的小基站在6G网络的部署，感知的分辨率相比厘米波将明显提升，从而使得6G网络能够提供更精细的感知服务。
通信与雷达的一体化属于典型的通信感知融合应用，在过去，雷达系统与通信系统由于研究对象与关注重点不同而被严格地区分，大部分场景下两系统被分发研究。事实上，雷达与通信系统同样作为信息发送、获取、处理和交换的典型方式，不论工作原理还是系统架构以及频段上存在着不少相似之处。通信与雷达一体化的设计具有较大的可行性，主要体现在以下几个方面：首先，通信系统与感知系统均基于电磁波理论，利用电磁波的发射和接收来完成信息的获取和传递；其次，通信系统与感知系统均具备天线、发送端、接收端、信号处理器等结构，在硬件资源上有很大重叠；随着技术的发展，两者在工作频段上也有越来越多的重合；另外，在信号调制与接收检测、波形设计等关键技术上存在相似性。通信与雷达系统融合能够带来许多优势，例如节约成本、减小尺寸、降低功耗、提升频谱效率、减小互干扰等，从而提升系统整体性能。
目前，对于雷达和通信系统的一体化设计已经有不少相关研究，典型的联合设计包括频谱共存，即两系统独立工作，可以允许信息交换以降低互相之间的干扰；收端共享，此时两系统发端发送各自的信号波形，两系统的波形需要具备正交性，从而不影响各自的接收检测；发端共享，即发送端发射雷达与通信的联合波形；以及收发端共享，即两系统收发两侧进行资源共享，同样需要使用联合波形或者存在正交关系的波形。
在进行感知时，可以是基于单站模式的感知，即收发共址，发送端发射用于感知的信号，然后自己接收回波信号并进行分析，提取感知参数，例如，基站作为用于感知的信号的发送端与接收端，终端或其他物体作为感知目标；也可以是基于双站/多站模式的感知，即收发不共址，发送端发射用于感知的信号，其他接收端进行接收并分析，提取感知参数，例如，基站1作为用于感知的信号发送端，终端或者基站2作为用于感知的信号接收端。同样地，单站或多站模式感知的发射端也可以是终端。
通信系统需要将承载信息的调制符号与用于信道估计的导频符号联合发送，重点关注译码性能，其信道估计算法仅需估计具有有限未知参数的复合 信道，通常以提高吞吐量和传输可靠性为优化目标，关注的性能指标一般是频谱效率、信道容量、信噪比((Signal to Noise Ratio，SNR)、信号与干扰加噪声比(Signal-To-Noise And Interference Ratio，SINR)、误码率(Bit Error Rate，BER)、数据块差错率(Block Error Rate，BLER)以及误符号率(Symbol Error Rate，SER)等。而感知系统信号发送过程中无需考虑信息承载问题，通常使用优化或未经调制的发射信号，重点关注感知目标对发射信号带来的改变，即响应特性，通常以提高参数估计精度为优化目标，性能衡量指标可能是模糊函数、克拉美罗下界、均方根误差、互信息、率失真函数、雷达估计速率、韦尔奇下界以及一些与感知场景和需求相关联的指标。
目前，已经有不少研究利用通信系统实现感知功能，感知业务种类繁多，但如何实现入侵检测场景中的感知功能尚无明确方案。
下面结合附图，通过一些实施例及其应用场景对本申请实施例提供的感知方法进行详细地说明。
如图2所示，本申请实施例提供了一种感知方法，包括：
步骤201：第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵。
本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；根据所述至少一个时频域信道矩阵，得到至少一个第一矩阵，并基于该第一矩阵的特征值，得到上述感知测量结果。
上述第一信号可以是感知信号，也可以是通信信号，该通信信号能够用于感知。该第一信号可具体为用于获取目标物体的方位、距离、速度等信息的信号，或者对目标物体、事件或环境等进行检测、跟踪、识别、成像的信号。
上述时频域信道矩阵的维度为M*N或N*M，其中，M表示子载波个数(或频域采样点个数)，N表示时域采样点个数。M和N均为正整数。
上述一个天线收发组合可对应至少一个时频域信道矩阵。每个第一矩阵对应一个时频域信道矩阵。
步骤202：所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果。
第一设备基于该目标感知测量结果，能够获取目标环境中目标对象的位置、速度等信息。
本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；获取所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；对该协方差矩阵或相关系数矩阵的特征值进行分解，基于分解得到的特征值，得到目标感知测量结果，进而基于该目标感知测量结果能够得到目标环境中目标对象的位置、速度等信息，进而实现了入侵检测、轨迹追踪等场景中的无线感知功能。
可选地，所述第一矩阵包括以下至少一项：
时频域信道矩阵对应的频域协方差矩阵；
时频域信道矩阵对应的频域相关系数矩阵；
时频域信道矩阵对应的时域协方差矩阵；
时频域信道矩阵对应的时域相关系数矩阵。
可选地，所述第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，包括：
根据所述第一矩阵的最大特征值、全部特征值和目标特征值中的至少一项，得到至少一个感知测量结果，所述目标特征值为所述第一矩阵的全部特征值中除去最大特征值之后最大的特征值。
可选地，所述根据所述第一矩阵的最大特征值、全部特征值和目标特征值中的至少一项，得到至少一个感知测量结果，包括：
根据所述第一矩阵的最大特征值和所述目标特征值的加权合并值，得到至少一个感知测量结果；或，
根据所述第一矩阵的最大特征值与所述第一矩阵的全部特征值的和之间的比值，得到至少一个感知测量结果；或，
根据所述第一矩阵的最大特征值与所述目标特征值的加权合并值与全部 特征值的和之间的比值，得到至少一个感知测量结果；或，
根据所述第一矩阵的全部特征值的和与最大特征值之间的比值减去预设阈值之后的数值，得到至少一个感知测量结果。这里，通过设置预设阈值，使得所述感知测量结果的值限定在预设范围内。
需要说明的是，本申请实施例中A与B之间的比值包括A比B，或者B比A。
可选地，每个所述时频域信道矩阵中的元素包括以下其中一项：
天线收发组合对应的频域信道响应的原始复数值；
天线收发组合对应的频域信道响应的幅度；
天线收发组合对应的频域信道响应的相位；
天线收发组合对应的频域信道响应的I路和Q路数据中的至少一项；
天线收发组合对应的频域信道响应的幅度和相位的加权合并值；
天线收发组合对应的频域信道响应的I路数据和Q路数据的加权合并值；
第一结果的原始复数值，所述第一结果为第一天线收发组合与第二天线收发组合对应的频域信道响应的商或共轭乘结果；
所述第一结果的幅度；
所述第一结果的相位；
所述第一结果的I路和Q路数据中的至少一项；
所述第一结果的幅度和相位的加权合并值；
所述第一结果的I路数据和Q路数据的加权合并值。
本申请实施例中，一个天线收发组合可对应至少一个时频域信道矩阵，例如，第一天线组合对应第一时频域信道矩阵，该第一时频域信道矩阵中的元素的类型为频域信道响应的原始复数值，或者，该第一天线组合对应第二时频域信道矩阵和第三时频域信道矩阵，该第二时频域信道矩阵中的元素的类型为频域信道响应的幅度，该第三时频域信道矩阵中的元素的类型为频域信道响应的相位，这里，频域信道响应的幅度和相位是根据频域信道响应的原始复数值得到的。
另外，本申请实施例中，同一天线组合对应的至少两个时频域信道矩阵中的元素的类型不同，且同一个时频域信道矩阵中的元素的类型相同，这里， 元素的类型可以是指上述天线收发组合对应的频域信道响应的原始复数值、幅度、相位、I路和Q路数据中的至少一项、所述第一结果的幅度、相位等。
可选地，所述第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，包括：
对至少两个第一矩阵中的特征值进行加权合并处理，得到所述感知测量结果。
例如，一个天线收发组合对应至少两个时频域信道矩阵，则根据每个时频域信道矩阵得到一个第一矩阵，然后对得到的至少两个第一矩阵中的特征值进行加权合并处理，得到该天线收发组合对应的感知测量结果。
本申请实施例中的加权合并处理包括求和处理以及求平均值处理。
可选地，所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果，包括：
所述第一设备将至少一个所述感知测量结果，作为目标感知测量结果；
或者，所述第一设备对至少两个感知测量结果进行加权合并处理，得到目标感知测量结果。
可选地，所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果，包括以下至少一项：
选择满足第一门限信息的感知测量结果，作为目标感知测量结果；例如，将高于第一门限信息的感知测量结果作为目标感知测量结果；在入侵检测场景中，若该目标感知测量结果满足第一门限信息，则确定目标环境中存在入侵。
将所述感知测量结果与第一门限信息的关系信息，作为目标感知测量结果。这里的关系信息可以用于指示感知测量结果是否高于第一门限信息，例如，若高于第一门限信息，则上报“1”，否则，上报“0”。此时，对应于入侵检测场景，若上报“1”说明存在入侵，若上报“0”说明不存在入侵。
在所述感知测量结果满足第一门限信息的情况下，将所述感知测量结果与第一门限信息的差值，作为目标感知测量结果；
在所述感知测量结果满足第一门限信息的情况下，将根据所述时频域信道矩阵得到的目标信息作为目标感知测量结果(即当判断存在入侵时，通过 上报目标信息得到进行入侵目标轨迹跟踪所需的感知测量结果)；
所述目标信息包括以下至少一项：
目标对象的多普勒信息；
目标对象的速度；
目标对象的坐标(位置)；
目标对象与信号收发设备之间的距离；
目标对象与信号收发设备之间的角度；
所述第一信号从发出到接收的时延信息。
可选地，本申请实施例的方法，还包括：
所述第一设备将所述目标感知测量结果或目标感知测量结果的量化结果上报给第二设备。
本申请实施例中，每个天线组合对应一个感知测量结果，对于存在多个天线收发组合的情况，可以得到多个感知测量结果，第一设备可以将至少一个感知测量结果上报给第二设备，如选择最大值或最小值进行上报，也可对多个感知测量结果进行加权合并处理，然后将合并处理后的值(即目标感知测量结果)上报给第二设备。
另外，通过选择满足第一门限信息的感知测量结果进行上报，和/或，将感知测量结果与第一门限信息的关系信息进行上报，能够有效减少上报比特。而且，在所述感知测量结果满足第一门限信息的情况下，将感知测量结果与第一门限信息的差值和/或上述目标信息上报给第二设备，能够便于第二设备对后续第一指示信息进行调整。
这里，第一设备将基于至少一个感知测量结果得到的目标感知测量结果上报给第二设备，使得第二设备能够基于该目标感知测量结果获取目标环境中目标对象的位置、速度等信息。
可选地，所述目标感知测量结果还包括：
所述第一设备接收到所述第一信号的时间；
所述第一设备得到感知测量结果的时间或者所述第一设备得到所述目标感知测量结果的时间；
所述第一信号对应的时间单元信息。
这里，上述时间单元信息包括帧号、半帧号、时隙号、符号序号中的至少一项。
可选地，所述第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果之前，还包括：
接收第一指示信息，所述第一指示信息用于指示以下至少一项：
感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；这里，通过感知需求信息能够间接获取感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项；
感知测量量，所述感知测量量与所述感知测量结果对应，该感知测量量用于指示第一设备根据第一信号计算得到与该感知测量量对应的感知测量结果；
第一门限信息；
第一信号的配置信息；
时频域信道矩阵的相关信息，该时频域信道矩阵的相关信息与第一信号的配置信息相关联。
本申请实施例中，上述感知需求信息包括以下至少一项：
感知业务类型，例如，入侵检测、轨迹追踪、环境重构、呼吸检测、动作识别等；
感知区域，例如，感知区域地理坐标、感知区域长、宽、高、距离、角度范围等；
感知目标类型，例如汽车、摩托车、行人等等，侧面指示了感知目标移动速度范围、对无线信号反射功率等级；
感知/通感一体化服务质量(Quality of Service，QoS)，例如，感知/通感一体化业务优先级、感知分辨率的要求、感知精度或感知误差的要求、感知延时预算、最大感知范围的要求、连续感知能力的要求、感知更新频率的要求、检测概率、虚警概率、漏检概率要求等；
通信QoS(针对通感一体化业务)，例如通信延时预算、误报率等；
感知区域内感知目标数量；
感知区域内感知目标密度。
可选地，所述时频域信道矩阵的相关信息包括以下至少一项：
时域计算窗口信息，包括时域采样点个数、时域采样间隔或时域采样位置，或者是时频域信道矩阵H对应的时域计算窗口的大小、H对应的时域计算窗口的起始时间或截止时间；
频域计算窗口信息，包括频域采样点个数(子载波个数)、频域采样间隔或频域采样位置；
时频域信道矩阵的时域计算窗口的滑动步长，该滑动步长用于指示下一次计算的时频域信道矩阵的时域计算窗口的起始时间和/或截止时间；
时频域信道矩阵的元素类型指示信息，如原始复数值类型、幅度类型、相位类型等。
可选地，所述第一设备将所述目标感知测量结果或目标感知测量结果的量化结果上报给第二设备之后，还包括：
接收第二指示信息，所述第二指示信息是在所述目标感知测量结果满足第一门限信息的情况下发送的，所述第二指示信息用于调整所述第一指示信息中的目标参数。
可选地，所述目标参数包括以下至少一项：
所述感知需求信息，例如，增加轨迹追踪及相关需求信息；
所述感知测量量，例如增加时延、多普勒、角度、速度、距离、坐标(位置)等测量量；
所述第一信号的配置信息，例如增大第一信号的时域密度等；
所述时频域信道矩阵的相关信息，例如，增加时域采样点个数。
例如，针对入侵检测场景，若根据感知测量结果检测到目标环境中有目标对象入侵，则可通过发送上述第二指示信息，以便于第一设备根据该第二指示信息，对目标对象进行相应测量，实现更加密切地追踪检测。
需要说明的是，本申请实施例中，可以由第一设备确定感知测量结果是否满足第一门限信息，并将感知测量结果是否满足第一门限信息的相关信息上报给第二设备，也可以由第二设备根据第一设备上报的信息确定感知测量结果是否满足第一门限信息。例如，第一设备根据时频域信道矩阵，得到三 个感知测量结果，按照预设算法对该三个感知测量结果进行处理，得到第一感知测量结果，判断该第一感知测量结果是否满足第一门限信息，并将用于指示该第一感知测量结果是否满足第一门限信息的指示信息发送给第二设备。或者，也可以由第二设备按照预设算法对该三个感知测量结果进行处理，得到第一感知测量结果，判断该第一感知测量结果是否满足第一门限信息。
需要说明的是，本申请实施例中，第一信号(也可称为用于感知的信号)的收发方式包括以下几种方式，第一设备可以是基站或UE，第二设备可以是核心网的感知网络功能设备或感知网元，也可以是基站或UE。
方式1：基站A发用于感知的信号，基站B收用于感知的信号。
方式2：基站发用于感知的信号，核心网设备收用于感知的信号。
方式3：基站发用于感知的信号，UE收用于感知的信号。
方式4：核心网发用于感知的信号，基站或UE收用于感知的信号。
方式4：基站自发自收。
方式5：UE自发自收。
方式6：UE发，基站或核心网设备收。
本申请实施例中的信号发送设备可以是多个设备，信号接收设备可以是多个设备；上述的基站还可以是TRP，无线访问节点(Access Point，AP)，中继(Relay)，智能超表面(Reconfigurable Intelligence Surface，RIS)等。
在本申请的一实施例中，该感知方法具体包括：
步骤1：第一设备接收到第一信号后进行信道估计，例如，进行最小二乘(Least Squares，LS)信道估计或最小均方误差(Mean Square Model Error，MMSE)信道估计得到不同天线对组合对应的第一信道矩阵，假设天线配置采用1发4收，则共有4种天线组合，即共有4个第一信道矩阵。
步骤2：根据第二设备发送的第一指示信息中时频域信道矩阵H的相关信息，通过对所述第一信道矩阵进行运算，例如，根据H矩阵的时频域格式(如包括N个时域采样点和M个子载波)，选取信道估计矩阵中的元素(即不同子载波和时域采样点对应的频域信道响应)得到M*N维度的第二信道矩阵；计算第一天线收发组合与第二天线收发组合对应的第二信道矩阵的商得到时频域信道矩阵H，共可得到以下6个H：
H1＝H_tx1_rx1./H_tx1_rx2；
H2＝H_tx1_rx1./H_tx1_rx3；
H3＝H_tx1_rx1./H_tx1_rx4；
H4＝H_tx1_rx2./H_tx1_rx3；
H5＝H_tx1_rx2./H_tx1_rx4；
H6＝H_tx1_rx3./H_tx1_rx4。
其中，“./”表示点除，即两矩阵中逐个元素相除，H_tx1_rx1表示收发天线组合发天线1收天线1对应的第二信道矩阵，以此类推。
具体地，关于第二信道矩阵或时频域信道矩阵的时域计算窗口和频域计算窗口的确定方法如下：
确定时域计算窗口：
第一设备接收到的第一信号时域格式或对应的信道估计结果时域格式，如图3所示，第一信号时域采样点间隔与感知业务需求关联，例如入侵检测业务中检测目标的移动速度关联，至少满足：T≤1/|2·fdmax|，其中，T表示第一信号时间间隔，fdmax表示目标运动导致的最大多普勒频移；时域计算窗口的大小N与多普勒分辨率相关联，例如时域计算窗口持续时间为T，则对应的多普勒分辨率为1/T；时域计算窗口滑动步长S与感知更新频率相关联。以上参数可以是由第二设备向第一设备发送的第一指示信息中的时频域信道矩阵H相关信息中直接指示，也可以是第一设备根据第二设备向第一设备发送的第一指示信息中的感知需求信息确定。
确定频域计算窗口：
第一设备从接收到的第一信号全部子载波对应采样点中选择其中全部或部分子载波对应的采样点作为频域计算窗口，假设共M个子载波，可以是连续的也可以是非连续的，例如等间隔选取。
步骤3：对H进行数据预处理，至少包括以下一项：
抑噪：抑制目标数据中的噪声，方法可以是例如变换域抑噪(Discrete Fourier Transform，DFT)、平均抑噪、MMSE滤波抑噪、离散小波变换(Discrete Wavelet Transformation，DWT)抑噪、主成分分析(Principal Component Analysis，PCA)抑噪等；
剔除离群值：剔除目标数据中的离群值，对离群值的处理可以是丢弃或替换，方法可以是例如：绝对中位值偏差(Median Absolute Deviation，MAD)算法或汉佩尔(Hampel)滤波的方法、标准差法、百分位法等；
滤波：平滑滤波，例如采用Savitzky-Golay滤波，也可以是采用低通滤波或高通滤波或带通滤波或带阻滤波滤除无关频率分量。
步骤4：以频域协方差矩阵为例，根据所述时频域信道矩阵H计算得到频域协方差矩阵Hcov，维度为M*M，可以表示为：
其中，xm＝[xm(1),xm(2),…,xm(N)]表示时频域信道矩阵的第m行向量，即第m个子载波对应的N个时域采样数据。cov表示协方差计算
步骤5：对Hcov进行特征值分解得到M个特征值并按降序排列表示为λ1,λ2,…,λM，进一步的，计算感知测量结果，以特征值的比值为例，可以是：
这里，减1的目的是使得结果的值大小被限制在1以内；
或
这里，减1的目的是使得结果的值大小被限制在1以内；
或
本申请实施例中，假设存在频域幅度协方差矩阵Hampcov和频域相位协方差矩阵Hphasecov，分别进行特征值分解得到M个特征值并按降序排列表示为λamp1,λamp2,…,λampM和λphase1,λphase2,…,λphaseM，此时感知测量结果可以是幅度协方差矩阵特征值和相位协方差矩阵特征值的加权合并，例如：
α·λamp1+β·λphase1；
α·λamp2+β·λphase2；

其中，α和β表示加权系数，满足α+β＝1。
步骤6：对应于不同天线组合的第二信道矩阵的商可以得到多个感知测量结果，例如对应于H1～H6，共可以得到6个感知测量结果，选择其中的最大值或最小值，或者对这些感知测量结果进行加权合并。
步骤7：对于基于频域相关系数矩阵的特征值分解得到感知测量结果的情况同上，其中相关系数矩阵Hcorr，维度为M*M，可以表示为：
其中，xm＝[xm(1),xm(2),…,xm(N)]表示时频域信道矩阵的第m行向量，即第m个子载波对应的N个时域采样数据。corr表示相关系数计算
对于基于时域协方差矩阵和时域相关系数矩阵的特征值分解得到感知测量结果的情况同上，其中，时域协方差矩阵Hcov，维度为N*N，可以表示为：
其中，xn＝[xn(1),xn(2),…,xn(M)]表示时频域信道矩阵的第n列向量，即第n个时域采样点对应的M个子载波数据。
其中，时域相关系数矩阵Hcorr，维度为N*N，可以表示为：
其中，xn＝[xn(1),xn(2),…,xn(M)]表示时频域信道矩阵的第n列向量，即第n个时域采样点对应的M个子载波数据。
步骤8：根据步骤1中的滑动步长，选取时域计算窗口2计算对应的感知测量结果，以此类推得到不同时域计算窗口对应的感知测量结果。
本申请实施例中，接收端基于接收信号进行运算得到特定矩阵特征值相关信息，并基于这类特征信息实现例如入侵检测等无线感知功能。
如图4所示，本申请实施例还提供了一种感知方法，包括：
步骤401：第二设备获取目标感知测量结果；
其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
这里，上述第一信号可以是感知信号，也可以是通信信号，该通信信号能够用于感知。该第一信号可具体为用于获取目标物体的方位、距离、速度等信息的信号，或者对目标物体、事件或环境等进行检测、跟踪、识别、成像的信号。
第一设备将基于至少一个感知测量结果得到的目标感知测量结果上报给第二设备，使得第二设备能够基于该目标感知测量结果获取目标环境中目标对象的位置、速度等信息。
本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；获取所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；对该协方差矩阵或相关系数矩阵的特征值进行分解，基于分解得到的特征值，得到目标感知测量结果上报给第二设备，使得第二设备能够通过对该特征值进行分析，得到目标环境中目标对象的位置、速度等信息，进而实现了入侵检测、轨迹追踪等场景中的无线感知功能。
可选地，所述第二设备获取目标感知测量结果之前，还包括：
发送第一指示信息，所述第一指示信息用于指示以下至少一项：
感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；
感知测量量，所述感知测量量与所述感知测量结果对应；
第一门限信息；
第一信号的配置信息；
时频域信道矩阵的相关信息。
可选地，所述第二设备获取目标感知测量结果之后，所述方法还包括：
在所述目标感知测量结果满足第一门限信息的情况下，发送第二指示信息，所述第二指示信息用于调整所述第一指示信息中的目标参数。
可选地，所述目标参数包括以下至少一项：
所述感知需求信息；
所述感知测量量；
所述第一信号的配置信息；
所述时频域信道矩阵的相关信息。
可选地，所述时频域信道矩阵的相关信息包括以下至少一项：
时域计算窗口信息；
频域计算窗口信息；
时频域信道矩阵的时域计算窗口的滑动步长；
时频域信道矩阵的元素类型指示信息。
上述第二指示信息和时频域信道矩阵的相关信息已在第一设备侧的方法实施例中进行详细描述，此处不再赘述。
可选地，所述目标感知测量结果包括以下至少一项：
满足第一门限信息的感知测量结果；
所述感知测量结果与第一门限信息的关系信息；
满足第一门限信息的感知测量结果与第一门限信息的差值；
根据所述时频域信道矩阵得到的目标信息，所述目标信息是在感知测量结果满足第一门限信息的情况下上报的；
所述目标信息包括以下至少一项：
目标对象的多普勒信息；
目标对象的速度；
目标对象的坐标；
目标对象与信号收发设备之间的距离；
目标对象与信号收发设备之间的角度；
所述第一信号从发出到接收的时延信息。
本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；获取所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；对该协方差矩阵或相关系数矩阵的特征值进行分解，基于分解得到的特征值，得到目标感知测量结果上报给第二设备，使得第二设备能够通过对该特征值进行分析，得到目标环境中目标对象的位置、速度等信息，进而实现了入侵检测、轨迹追踪等场景中的无线感知功能。
本申请实施例提供的感知方法，执行主体可以为感知装置。本申请实施例中以感知装置执行感知方法为例，说明本申请实施例提供的感知装置。
如图5所示，本申请实施例提供了一种感知装置500，应用于第一设备，该装置包括：
第一获取模块501，根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；
第二获取模块502，用于根据所述至少一个感知测量结果，得到目标感知测量结果。
可选地，所述第一矩阵包括以下至少一项：
时频域信道矩阵对应的频域协方差矩阵；
时频域信道矩阵对应的频域相关系数矩阵；
时频域信道矩阵对应的时域协方差矩阵；
时频域信道矩阵对应的时域相关系数矩阵。
可选地，所述第一获取模块，用于根据所述第一矩阵的最大特征值、全部特征值和目标特征值中的至少一项，得到至少一个感知测量结果，所述目标特征值为所述第一矩阵的全部特征值中除去最大特征值之后最大的特征值。
可选地，所述第一获取模块，用于根据所述第一矩阵的最大特征值和所述目标特征值的加权合并值，得到至少一个感知测量结果；或，
根据所述第一矩阵的最大特征值与所述第一矩阵的全部特征值的和之间的比值，得到至少一个感知测量结果；或，
根据所述第一矩阵的最大特征值与所述目标特征值的加权合并值与全部特征值的和之间的比值，得到至少一个感知测量结果；或，
根据所述第一矩阵的全部特征值的和与最大特征值之间的比值减去预设阈值之后的数值，得到至少一个感知测量结果。
可选地，每个所述时频域信道矩阵中的元素包括以下其中一项：
天线收发组合对应的频域信道响应的原始复数值；
天线收发组合对应的频域信道响应的幅度；
天线收发组合对应的频域信道响应的相位；
天线收发组合对应的频域信道响应的I路和Q路数据中的至少一项；
天线收发组合对应的频域信道响应的幅度和相位的加权合并值；
天线收发组合对应的频域信道响应的I路数据和Q路数据的加权合并值；
第一结果的原始复数值，所述第一结果为第一天线收发组合与第二天线收发组合对应的频域信道响应的商或共轭乘结果；
所述第一结果的幅度；
所述第一结果的相位；
所述第一结果的I路和Q路数据中的至少一项；
所述第一结果的幅度和相位的加权合并值；
所述第一结果的I路数据和Q路数据的加权合并值。
可选地，所述第一获取模块用于对至少两个第一矩阵中的特征值进行加权合并处理，得到所述感知测量结果。
可选地，所述第二获取模块用于将至少一个所述感知测量结果或者至少一个感知测量结果的量化值，作为目标感知测量结果；
或者，对至少两个感知测量结果进行加权合并处理，得到目标感知测量结果。
可选地，所述第二获取模块用于执行以下至少一项：
选择满足第一门限信息的感知测量结果，作为目标感知测量结果；
将所述感知测量结果与第一门限信息的关系信息，作为目标感知测量结果；
在所述感知测量结果满足第一门限信息的情况下，将所述感知测量结果与第一门限信息的差值，作为目标感知测量结果；
在所述感知测量结果满足第一门限信息的情况下，将根据所述时频域信道矩阵得到的目标信息，作为目标感知测量结果；
其中，所述目标信息包括以下至少一项：
目标对象的多普勒信息；
目标对象的速度；
目标对象的坐标；
目标对象与信号收发设备之间的距离；
目标对象与信号收发设备之间的角度；
所述第一信号从发出到接收的时延信息。
可选地，所述装置还包括：
上报模块，用于将所述目标感知测量结果或目标感知测量结果的量化结果上报给第二设备。
可选地，所述目标感知测量结果还包括：
所述第一设备接收到所述第一信号的时间；
所述第一设备得到感知测量结果的时间或者所述第一设备得到所述目标感知测量结果的时间；
所述第一信号对应的时间单元信息。
可选地，所述装置还包括：
第一接收模块，用于第一获取模块根据至少一个第一矩阵的特征值，得到至少一个感知测量结果之前，接收第一指示信息，所述第一指示信息用于指示以下至少一项：
感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；
感知测量量，所述感知测量量与所述感知测量结果对应；
第一门限信息；
第一信号的配置信息；
时频域信道矩阵的相关信息。
可选地，所述装置还包括：
第二接收模块，用于上报模块将所述目标感知测量结果或目标感知测量结果的量化结果上报给第二设备之后，接收第二指示信息，所述第二指示信息是在所述目标感知测量结果满足第一门限信息的情况下发送的，所述第二指示信息用于调整所述第一指示信息中的目标参数。
可选地，所述目标参数包括以下至少一项：
所述感知需求信息；
所述感知测量量；
所述第一信号的配置信息；
所述时频域信道矩阵的相关信息。
可选地，所述时频域信道矩阵的相关信息包括以下至少一项：
时域计算窗口信息；
频域计算窗口信息；
时频域信道矩阵的时域计算窗口的滑动步长；
时频域信道矩阵的元素类型指示信息。
本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；获取所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；对该协方差矩阵或相关系数矩阵的特征值进行分解，基于分解得到的特征值，得到目标感知测量结果，进而基于该目标感知测量结果能够得到目标环境中目标对象的位置、速度等信息，进而实现了入侵检测、轨迹追踪等场景中的无线感知功能。
如图6所示，本申请实施例还提供了一种感知装置600，应用于第二设备，该装置包括：
第三获取模块601，用于获取目标感知测量结果；
其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为 时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
可选地，本申请实施例的装置，还包括：
第一发送模块，用于在第三获取模块获取目标感知测量结果之前，发送第一指示信息，所述第一指示信息用于指示以下至少一项：
感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；
感知测量量，所述感知测量量与所述感知测量结果对应；
第一门限信息；
第一信号的配置信息；
时频域信道矩阵的相关信息。
可选地，本申请实施例的装置，还包括：
第二发送模块，用于在第三获取模块获取目标感知测量结果之后，在所述目标感知测量结果满足第一门限信息的情况下，发送第二指示信息，所述第二指示信息用于调整所述第一指示信息中的目标参数。
可选地，所述目标参数包括以下至少一项：
所述感知需求信息；
所述感知测量量；
所述第一信号的配置信息；
所述时频域信道矩阵的相关信息。
可选地，所述时频域信道矩阵的相关信息包括以下至少一项：
时域计算窗口信息；
频域计算窗口信息；
时频域信道矩阵的时域计算窗口的滑动步长；
时频域信道矩阵的元素类型指示信息。
可选地，所述目标感知测量结果包括以下至少一项：
满足第一门限信息的感知测量结果；
所述感知测量结果与第一门限信息的关系信息；
满足第一门限信息的感知测量结果与第一门限信息的差值；
根据所述时频域信道矩阵得到的目标信息，所述目标信息是在感知测量结果满足第一门限信息的情况下上报的；
所述目标信息包括以下至少一项：
目标对象的多普勒信息；
目标对象的速度；
目标对象的坐标；
目标对象与信号收发设备之间的距离；
目标对象与信号收发设备之间的角度；
所述第一信号从发出到接收的时延信息。
本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；获取所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；对该协方差矩阵或相关系数矩阵的特征值进行分解，基于分解得到的特征值，得到目标感知测量结果上报给第二设备，使得第二设备能够通过对该特征值进行分析，得到目标环境中目标对象的位置、速度等信息，进而实现了入侵检测、轨迹追踪等场景中的无线感知功能。
本申请实施例中的感知装置可以是电子设备，例如具有操作系统的电子设备，也可以是电子设备中的部件，例如集成电路或芯片。该电子设备可以是终端，也可以为除终端之外的其他设备。示例性的，终端可以包括但不限于上述所列举的终端11的类型，其他设备可以为服务器、网络附属存储器(Network Attached Storage，NAS)等，本申请实施例不作具体限定。
本申请实施例提供的感知装置能够实现图2至图3的方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
可选地，如图7所示，本申请实施例还提供一种通信设备700，包括处理器701和存储器702，存储器702上存储有可在所述处理器701上运行的程序或指令，例如，该通信设备700为第一设备时，该程序或指令被处理器701执行时实现上述第一设备侧的方法实施例的各个步骤，且能达到相同的技术效果。该通信设备700为第二设备时，该程序或指令被处理器701执行 时实现上述第二设备侧的方法实施例的各个步骤，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种第一设备，包括处理器和通信接口，处理器用于根据至少一个第一矩阵的特征值，得到至少一个感知测量结果；根据所述至少一个感知测量结果，得到目标感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵。该实施例与上述第一设备侧方法实施例对应，上述方法实施例的各个实施过程和实现方式均可适用于该实施例中，且能达到相同的技术效果。
本申请实施例还提供一种第二设备，包括处理器和通信接口，通信接口用于获取目标感知测量结果；
其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。该第二设备实施例与上述第二设备侧的方法实施例对应，上述方法实施例的各个实施过程和实现方式均可适用于该第二设备实施例中，且能达到相同的技术效果。
具体地，图8为实现本申请实施例的第一设备或第二设备(具体为终端)的硬件结构示意图。
该终端800包括但不限于：射频单元801、网络模块802、音频输出单元803、输入单元804、传感器805、显示单元806、用户输入单元807、接口单元808、存储器809以及处理器810等中的至少部分部件。
本领域技术人员可以理解，终端800还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器810逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图8中示出的终 端结构并不构成对终端的限定，终端可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
应理解的是，本申请实施例中，输入单元804可以包括图形处理单元(Graphics Processing Unit，GPU)8041和麦克风8042，图形处理器8041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元806可包括显示面板8061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板8061。用户输入单元807包括触控面板8071以及其他输入设备8072中的至少一种。触控面板8071，也称为触摸屏。触控面板8071可包括触摸检测装置和触摸控制器两个部分。其他输入设备8072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
本申请实施例中，射频单元801接收来自网络侧设备的下行数据后，可以传输给处理器810进行处理；另外，射频单元801可以向网络侧设备发送上行数据。通常，射频单元801包括但不限于天线、放大器、收发信机、耦合器、低噪声放大器、双工器等。
存储器809可用于存储软件程序或指令以及各种数据。存储器809可主要包括存储程序或指令的第一存储区和存储数据的第二存储区，其中，第一存储区可存储操作系统、至少一个功能所需的应用程序或指令(比如声音播放功能、图像播放功能等)等。此外，存储器809可以包括易失性存储器或非易失性存储器，或者，存储器809可以包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synch link DRAM，SLDRAM)和 直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本申请实施例中的存储器809包括但不限于这些和任意其它适合类型的存储器。
处理器810可包括一个或多个处理单元；可选地，处理器810集成应用处理器和调制解调处理器，其中，应用处理器主要处理涉及操作系统、用户界面和应用程序等的操作，调制解调处理器主要处理无线通信信号，如基带处理器。可以理解的是，上述调制解调处理器也可以不集成到处理器810中。
在本申请的一实施例中，处理器810，用于根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；根据所述至少一个感知测量结果，得到目标感知测量结果。
可选地，所述第一矩阵包括以下至少一项：
时频域信道矩阵对应的频域协方差矩阵；
时频域信道矩阵对应的频域相关系数矩阵；
时频域信道矩阵对应的时域协方差矩阵；
时频域信道矩阵对应的时域相关系数矩阵。
可选地，所述处理器810，用于根据所述第一矩阵的最大特征值、全部特征值和目标特征值中的至少一项，得到至少一个感知测量结果，所述目标特征值为所述第一矩阵的全部特征值中除去最大特征值之后最大的特征值。
可选地，所述处理器810，用于根据所述第一矩阵的最大特征值和所述目标特征值的加权合并值，得到至少一个感知测量结果；或，
根据所述第一矩阵的最大特征值与所述第一矩阵的全部特征值的和之间的比值，得到至少一个感知测量结果；或，
根据所述第一矩阵的最大特征值与所述目标特征值的加权合并值与全部特征值的和之间的比值，得到至少一个感知测量结果；或，
根据所述第一矩阵的全部特征值的和与最大特征值之间的比值减去预设阈值之后的数值，得到至少一个感知测量结果。
可选地，每个所述时频域信道矩阵中的元素包括以下其中一项：
天线收发组合对应的频域信道响应的原始复数值；
天线收发组合对应的频域信道响应的幅度；
天线收发组合对应的频域信道响应的相位；
天线收发组合对应的频域信道响应的I路和Q路数据中的至少一项；
天线收发组合对应的频域信道响应的幅度和相位的加权合并值；
天线收发组合对应的频域信道响应的I路数据和Q路数据的加权合并值；
第一结果的原始复数值，所述第一结果为第一天线收发组合与第二天线收发组合对应的频域信道响应的商或共轭乘结果；
所述第一结果的幅度；
所述第一结果的相位；
所述第一结果的I路和Q路数据中的至少一项；
所述第一结果的幅度和相位的加权合并值；
所述第一结果的I路数据和Q路数据的加权合并值。
可选地，所述处理器810，用于对至少两个第一矩阵中的特征值进行加权合并处理，得到所述感知测量结果。
可选地，所述处理器810，用于将至少一个所述感知测量结果，作为目标感知测量结果；
或者，所述第一设备对至少两个感知测量结果进行加权合并处理，得到目标感知测量结果。
可选地，处理器810，用于执行以下至少一项：
选择满足第一门限信息的感知测量结果，作为目标感知测量结果；
将所述感知测量结果与第一门限信息的关系信息，作为目标感知测量结果；
在所述感知测量结果满足第一门限信息的情况下，将所述感知测量结果与第一门限信息的差值，作为目标感知测量结果；
在所述感知测量结果满足第一门限信息的情况下，将根据所述时频域信道矩阵得到的目标信息，作为目标感知测量结果；
其中，所述目标信息包括以下至少一项：
目标对象的多普勒信息；
目标对象的速度；
目标对象的坐标；
目标对象与信号收发设备之间的距离；
目标对象与信号收发设备之间的角度；
所述第一信号从发出到接收的时延信息。
可选地，射频单元801用于：
将所述目标感知测量结果或目标感知测量结果的量化结果上报给第二设备。
可选地，所述目标感知测量结果还包括：
所述第一设备接收到所述第一信号的时间；
所述第一设备得到感知测量结果的时间或者所述第一设备得到所述目标感知测量结果的时间；
所述第一信号对应的时间单元信息。
可选地，射频单元801还用于：
接收第一指示信息，所述第一指示信息用于指示以下至少一项：
感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；
感知测量量，所述感知测量量与所述感知测量结果对应；
第一门限信息；
第一信号的配置信息；
时频域信道矩阵的相关信息。
可选地，射频单元801还用于：
接收第二指示信息，所述第二指示信息是在所述目标感知测量结果满足第一门限信息的情况下发送的，所述第二指示信息用于调整所述第一指示信息中的目标参数。
可选地，所述目标参数以下至少一项：
所述感知需求信息；
所述感知测量量；
所述第一信号的配置信息；
所述时频域信道矩阵的相关信息。
可选地，所述时频域信道矩阵的相关信息包括以下至少一项：
时域计算窗口信息；
频域计算窗口信息；
时频域信道矩阵的时域计算窗口的滑动步长；
时频域信道矩阵的元素类型指示信息。
在本申请的另一实施例中，所述射频单元801，用于获取目标感知测量结果；
其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
可选地，所述射频单元801，还用于：
发送第一指示信息，所述第一指示信息用于指示以下至少一项：
感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；
感知测量量，所述感知测量量与所述感知测量结果对应；
第一门限信息；
第一信号的配置信息；
时频域信道矩阵的相关信息。
可选地，所述射频单元801，还用于在所述目标感知测量结果满足第一门限信息的情况下，发送第二指示信息，所述第二指示信息用于调整所述第一指示信息中的目标参数。
可选地，所述目标参数包括以下至少一项：
所述感知需求信息；
所述感知测量量；
所述第一信号的配置信息；
所述时频域信道矩阵的相关信息。
可选地，所述时频域信道矩阵的相关信息包括以下至少一项：
时域计算窗口信息；
频域计算窗口信息；
时频域信道矩阵的时域计算窗口的滑动步长；
时频域信道矩阵的元素类型指示信息。
可选地，所述上报信息包括以下至少一项：
满足第一门限信息的感知测量结果；
所述感知测量结果与第一门限信息的关系信息；
满足第一门限信息的感知测量结果与第一门限信息的差值；
根据所述时频域信道矩阵得到的目标信息，所述目标信息是在感知测量结果满足第一门限信息的情况下上报的；
所述目标信息包括以下至少一项：
目标对象的多普勒信息；
目标对象的速度；
目标对象的坐标；
目标对象与信号收发设备之间的距离；
目标对象与信号收发设备之间的角度；
所述第一信号从发出到接收的时延信息。
本申请实施例中，第一设备对接收到的第一信号进行信道估计处理，得到至少一个时频域信道矩阵；获取所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；对该协方差矩阵或相关系数矩阵的特征值进行分解，基于分解得到的特征值，得到目标感知测量结果，进而基于该目标感知测量结果能够得到目标环境中目标对象的位置、速度等信息，进而实现了入侵检测、轨迹追踪等场景中的无线感知功能。
具体地，本申请实施例还提供了一种网络侧设备(可具体为第一设备或第二设备)。如图9所示，该网络侧设备900包括：天线91、射频装置92、基带装置93、处理器94和存储器95。天线91与射频装置92连接。在上行 方向上，射频装置92通过天线91接收信息，将接收的信息发送给基带装置93进行处理。在下行方向上，基带装置93对要发送的信息进行处理，并发送给射频装置92，射频装置92对收到的信息进行处理后经过天线91发送出去。
以上实施例中第一设备或第二设备执行的方法可以在基带装置93中实现，该基带装置93包括基带处理器。
基带装置93例如可以包括至少一个基带板，该基带板上设置有多个芯片，如图9所示，其中一个芯片例如为基带处理器，通过总线接口与存储器95连接，以调用存储器95中的程序，执行以上方法实施例中所示的网络设备操作。
该网络侧设备还可以包括网络接口96，该接口例如为通用公共无线接口(common public radio interface，CPRI)。
具体地，本申请实施例的网络侧设备900还包括：存储在存储器95上并可在处理器94上运行的指令或程序，处理器94调用存储器95中的指令或程序执行图5或图6所示各模块执行的方法，并达到相同的技术效果，为避免重复，故不在此赘述。
具体地，本申请实施例还提供了一种网络侧设备(可具体为第一设备或第二设备)。如图10所示，该网络侧设备1000包括：处理器1001、网络接口1002和存储器1003。其中，网络接口1002例如为通用公共无线接口(common public radio interface，CPRI)。
具体地，本申请实施例的网络侧设备1000还包括：存储在存储器1003上并可在处理器1001上运行的指令或程序，处理器1001调用存储器1003中的指令或程序执行图5或图6所示各模块执行的方法，并达到相同的技术效果，为避免重复，故不在此赘述。
本申请实施例还提供一种可读存储介质，所述可读存储介质上存储有程序或指令，该程序或指令被处理器执行时实现上述感知方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
其中，所述处理器为上述实施例中所述的终端中的处理器。所述可读存储介质，包括计算机可读存储介质，如计算机只读存储器ROM、随机存取存储器RAM、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现上述感知方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片，系统芯片，芯片系统或片上系统芯片等。
本申请实施例另提供了一种计算机程序/程序产品，所述计算机程序/程序产品被存储在存储介质中，所述计算机程序/程序产品被至少一个处理器执行以实现上述感知方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供了一种感知系统，包括：第一设备及第二设备，所述第一设备可用于执行如上所述的第一设备侧的感知方法的步骤，所述第二设备可用于执行如上所述的第二设备侧的感知方法的步骤。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参照某些示例所描述的特征可在其他示例中被组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以计算机软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁 碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (24)

  1. 一种感知方法，包括：
    第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；
    所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果。
  2. 根据权利要求1所述的方法，其中，所述第一矩阵包括以下至少一项：
    时频域信道矩阵对应的频域协方差矩阵；
    时频域信道矩阵对应的频域相关系数矩阵；
    时频域信道矩阵对应的时域协方差矩阵；
    时频域信道矩阵对应的时域相关系数矩阵。
  3. 根据权利要求1所述的方法，其中，所述第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，包括：
    根据所述第一矩阵的最大特征值、全部特征值和目标特征值中的至少一项，得到至少一个感知测量结果，所述目标特征值为所述第一矩阵的全部特征值中除去最大特征值之后最大的特征值。
  4. 根据权利要求3所述的方法，其中，所述根据所述第一矩阵的最大特征值、全部特征值和目标特征值中的至少一项，得到至少一个感知测量结果，包括：
    根据所述第一矩阵的最大特征值和所述目标特征值的加权合并值，得到至少一个感知测量结果；或，
    根据所述第一矩阵的最大特征值与所述第一矩阵的全部特征值的和之间的比值，得到至少一个感知测量结果；或，
    根据所述第一矩阵的最大特征值与所述目标特征值的加权合并值与全部特征值的和之间的比值，得到至少一个感知测量结果；或，
    根据所述第一矩阵的全部特征值的和与最大特征值之间的比值减去预设阈值之后的数值，得到至少一个感知测量结果。
  5. 根据权利要求1所述的方法，其中，每个所述时频域信道矩阵中的元素包括以下其中一项：
    天线收发组合对应的频域信道响应的原始复数值；
    天线收发组合对应的频域信道响应的幅度；
    天线收发组合对应的频域信道响应的相位；
    天线收发组合对应的频域信道响应的I路和Q路数据中的至少一项；
    天线收发组合对应的频域信道响应的幅度和相位的加权合并值；
    天线收发组合对应的频域信道响应的I路数据和Q路数据的加权合并值；
    第一结果的原始复数值，所述第一结果为第一天线收发组合与第二天线收发组合对应的频域信道响应的商或共轭乘结果；
    所述第一结果的幅度；
    所述第一结果的相位；
    所述第一结果的I路和Q路数据中的至少一项；
    所述第一结果的幅度和相位的加权合并值；
    所述第一结果的I路数据和Q路数据的加权合并值。
  6. 根据权利要求1所述的方法，其中，所述第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，包括：
    对至少两个第一矩阵中的特征值进行加权合并处理，得到所述感知测量结果。
  7. 根据权利要求1所述的方法，其中，所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果，包括：
    所述第一设备将至少一个所述感知测量结果，作为目标感知测量结果；
    或者，所述第一设备对至少两个感知测量结果进行加权合并处理，得到目标感知测量结果。
  8. 根据权利要求1所述的方法，其中，所述第一设备根据所述至少一个感知测量结果，得到目标感知测量结果，包括以下至少一项：
    选择满足第一门限信息的感知测量结果，作为目标感知测量结果；
    将所述感知测量结果与第一门限信息的关系信息，作为目标感知测量结果；
    在所述感知测量结果满足第一门限信息的情况下，将所述感知测量结果与第一门限信息的差值，作为目标感知测量结果；
    在所述感知测量结果满足第一门限信息的情况下，将根据所述时频域信道矩阵得到的目标信息，作为目标感知测量结果；
    其中，所述目标信息包括以下至少一项：
    目标对象的多普勒信息；
    目标对象的速度；
    目标对象的坐标；
    目标对象与信号收发设备之间的距离；
    目标对象与信号收发设备之间的角度；
    所述第一信号从发出到接收的时延信息。
  9. 根据权利要求1至8任一项所述的方法，还包括：
    所述第一设备将所述目标感知测量结果或目标感知测量结果的量化结果上报给第二设备。
  10. 根据权利要求9所述的方法，其中，所述目标感知测量结果还包括：
    所述第一设备接收到所述第一信号的时间；
    所述第一设备得到感知测量结果的时间或者所述第一设备得到所述目标感知测量结果的时间；
    所述第一信号对应的时间单元信息。
  11. 根据权利要求9所述的方法，其中，所述第一设备根据至少一个第一矩阵的特征值，得到至少一个感知测量结果之前，还包括：
    接收第一指示信息，所述第一指示信息用于指示以下至少一项：
    感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；
    感知测量量，所述感知测量量与所述感知测量结果对应；
    第一门限信息；
    第一信号的配置信息；
    时频域信道矩阵的相关信息。
  12. 根据权利要求11所述的方法，其中，所述第一设备将所述目标感知测量结果或目标感知测量结果的量化结果上报给第二设备之后，还包括：
    接收第二指示信息，所述第二指示信息是在所述目标感知测量结果满足第一门限信息的情况下发送的，所述第二指示信息用于调整所述第一指示信息中的目标参数。
  13. 根据权利要求12所述的方法，其中，所述目标参数包括以下至少一项：
    所述感知需求信息；
    所述感知测量量；
    所述第一信号的配置信息；
    所述时频域信道矩阵的相关信息。
  14. 根据权利要求11或13所述的方法，其中，所述时频域信道矩阵的相关信息包括以下至少一项：
    时域计算窗口信息；
    频域计算窗口信息；
    时频域信道矩阵的时域计算窗口的滑动步长；
    时频域信道矩阵的元素类型指示信息。
  15. 一种感知方法，包括：
    第二设备获取目标感知测量结果；
    其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
  16. 根据权利要求15所述的方法，其中，所述第二设备获取目标感知测量结果之前，还包括：
    发送第一指示信息，所述第一指示信息用于指示以下至少一项：
    感知需求信息，所述感知需求信息与感知测量量、第一门限信息、第一信号的配置信息和时频域信道矩阵的相关信息中的至少一项对应；
    感知测量量，所述感知测量量与所述感知测量结果对应；
    第一门限信息；
    第一信号的配置信息；
    时频域信道矩阵的相关信息。
  17. 根据权利要求16所述的方法，其中，所述第二设备获取目标感知测量结果之后，所述方法还包括：
    在所述目标感知测量结果满足第一门限信息的情况下，发送第二指示信息，所述第二指示信息用于调整所述第一指示信息中的目标参数。
  18. 根据权利要求17所述的方法，其中，所述目标参数包括以下至少一项：
    所述感知需求信息；
    所述感知测量量；
    所述第一信号的配置信息；
    所述时频域信道矩阵的相关信息。
  19. 根据权利要求16或18所述的方法，其中，所述时频域信道矩阵的相关信息包括以下至少一项：
    时域计算窗口信息；
    频域计算窗口信息；
    时频域信道矩阵的时域计算窗口的滑动步长；
    时频域信道矩阵的元素类型指示信息。
  20. 根据权利要求15或16所述的方法，其中，所述目标感知测量结果包括以下至少一项：
    满足第一门限信息的感知测量结果；
    所述感知测量结果与第一门限信息的关系信息；
    满足第一门限信息的感知测量结果与第一门限信息的差值；
    根据所述时频域信道矩阵得到的目标信息，所述目标信息是在感知测量结果满足第一门限信息的情况下上报的；
    所述目标信息包括以下至少一项：
    目标对象的多普勒信息；
    目标对象的速度；
    目标对象的坐标；
    目标对象与信号收发设备之间的距离；
    目标对象与信号收发设备之间的角度；
    所述第一信号从发出到接收的时延信息。
  21. 一种感知装置，包括：
    第一获取模块，用于根据至少一个第一矩阵的特征值，得到至少一个感知测量结果，所述至少一个第一矩阵根据时频域信道矩阵得到，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由第一设备对接收到的第一信号进行信道估计得到，所述第一矩阵为所述时频域信道矩阵对应的协方差矩阵或相关系数矩阵；
    第二获取模块，用于根据所述至少一个感知测量结果，得到目标感知测量结果。
  22. 一种感知装置，包括：
    第三获取模块，用于获取目标感知测量结果；
    其中，所述目标感知测量结果是第一设备根据至少一个感知测量结果得到的，所述感知测量结果是根据第一矩阵的特征值得到的，所述第一矩阵为时频域信道矩阵对应的协方差矩阵或相关系数矩阵，所述时频域信道矩阵包括多个时频域采样点对应的频域信道响应的相关信息，每个所述时频域信道矩阵对应一个天线收发组合，所述频域信道响应的相关信息由所述第一设备对接收到的第一信号进行信道估计得到。
  23. 一种通信设备，包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如权利要求1至14任一项所述的感知方法的步骤，或者，实现如权利要求15至20任一项所述的感知方法的步骤。
  24. 一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序 或指令被处理器执行时实现如权利要求1至14任一项所述的感知方法的步骤，或者，实现如权利要求15至20任一项所述的感知方法的步骤。
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