WO2024027538A1

WO2024027538A1 - Sensing processing method and apparatus, terminal, and network side device

Info

Publication number: WO2024027538A1
Application number: PCT/CN2023/109346
Authority: WO
Inventors: 李健之; 姜大洁; 姚健; 丁圣利
Original assignee: 维沃移动通信有限公司
Priority date: 2022-08-01
Filing date: 2023-07-26
Publication date: 2024-02-08
Also published as: CN117560103A

Abstract

The present application relates to the technical field of sensing. Disclosed are a sensing processing method and apparatus, a terminal and a network side device. The sensing processing method of embodiments of the present application comprises: a first device determines a first measurement result based on multi-port sensing beam measurement; and the first device determines a first beam set on the basis of the first measurement result, the first beam set comprising at least one beam satisfying a sensing condition.

Description

Perception processing method, device, terminal and network side equipment

Cross-references to related applications

This application claims priority to Chinese Patent Application No. 202210918051.7 filed in China on August 1, 2022, the entire content of which is incorporated herein by reference.

Technical field

This application belongs to the field of sensing technology, and specifically relates to a sensing processing method, device, terminal and network side equipment.

Background technique

With the development of communication technology, in communication systems, sensing targets can be measured based on sensing signals or synaesthetic integrated signals. Currently, beam management is usually performed based on a single port to determine the set of beams used to send sensing signals or synaesthesia integration signals. Therefore, in related technologies, perception accuracy is low due to limitations in the number of ports.

Contents of the invention

Embodiments of the present application provide a sensing processing method, device, terminal and network side equipment, which can solve the problem of low sensing accuracy.

The first aspect provides a perceptual processing method, including:

The first device determines a first measurement result based on multi-port sensing beam measurement;

The first device determines a first beam set based on the first measurement result, and the first beam set includes at least one beam that satisfies the sensing condition.

The second aspect provides a perception processing method, including:

The target sensing node receives first beam information from the computing node, where the first beam information includes beam information of at least some beams in the first beam set determined by the computing node based on a first measurement result of multi-port sensing beam measurement;

The target sensing node performs sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is the third sensing node. A signal receiving node.

In a third aspect, a perception processing device is provided, applied to the first device, including:

A first determination module, configured to determine a first measurement result based on multi-port sensing beam measurement;

A second determination module, configured to determine a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies the sensing condition.

In the fourth aspect, a perception processing device is provided, applied to the target perception node, including:

A second receiving module configured to receive first beam information from a computing node, where the first beam information includes beams of at least part of the first beam set determined by the computing node based on a first measurement result of multi-port sensing beam measurement. information;

A second execution module, configured to execute sensing services based on the first beam information;

In a fifth aspect, a terminal is provided. The terminal includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, the following implementations are implemented: The steps of the method described in one aspect, or the steps of implementing the method described in the second aspect.

In a sixth aspect, a terminal is provided, including a processor and a communication interface, wherein,

When the terminal is a first device, the processor is configured to determine a first measurement result based on multi-port sensing beam measurement; determine a first beam set based on the first measurement result, where the first beam set includes At least one beam that meets the sensing conditions;

Or, when the terminal is a sensing node, the communication interface is used to receive first beam information from a computing node, where the first beam information includes a first measurement result of the computing node based on multi-port sensing beam measurement. Beam information of at least some beams in the determined first beam set; the processor is configured to perform sensing services based on the first beam information; wherein the target sensing node is a first sensing node or a second sensing node, and the first sensing node The sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

In a seventh aspect, a network side device is provided. The network side device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The program or instructions are executed by the processor. When implementing the steps of the method described in the first aspect, or implementing the steps of the method described in the second aspect.

In an eighth aspect, a network side device is provided, including a processor and a communication interface, wherein,

When the network side device is a first device, the processor is configured to determine a first measurement result based on multi-port sensing beam measurement; determine a first beam set based on the first measurement result, and the first beam The set includes at least one beam that satisfies the sensing condition;

Alternatively, when the network side device is a sensing node, the communication interface is used to receive first beam information from a computing node, where the first beam information includes a first beam measured by the computing node based on multi-port sensing beams. Beam information of at least some beams in the first beam set determined by the measurement results; the processor is configured to perform sensing services based on the first beam information; wherein the target sensing node is a first sensing node or a second sensing node, The first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

In a ninth aspect, a communication system is provided, including: a terminal and a network side device. The terminal can be used to perform the steps of the sensing processing method as described in the first aspect or the second aspect. The network side device can be used to perform The steps of the perception processing method as described in the first aspect or the second aspect.

In a tenth aspect, a readable storage medium is provided. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented, or the steps of the method are implemented as described in the first aspect. The steps of the method described in the second aspect.

In an eleventh aspect, a chip is provided. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the method described in the first aspect. The steps of a method, or steps of implementing a method as described in the second aspect.

In a twelfth 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 as described in the first aspect The steps of the method, or the steps of implementing the method as described in the second aspect.

In this embodiment of the present application, the first device determines a first measurement result based on multi-port sensing beam measurement, and determines a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies sensing conditions. Since sensing measurements are performed on multiple ports, the number of ports for beam management is increased, thus fully utilizing the array aperture to achieve high-precision/super-resolution sensing. Therefore, the embodiments of the present application improve the accuracy of sensing, improve the sensing SNR, and overcome the problem of limited high-frequency sensing coverage.

Description of drawings

Figure 1 is a schematic diagram of the network structure used in this application;

Figure 2 is a flow chart of a perception processing method provided by this application;

Figure 3 is a schematic diagram of a sensing scene applied by a sensing processing method provided by this application;

Figure 4 is a schematic diagram of another perception scenario applied by a perception processing method provided by this application;

Figure 5 is a flow chart of another perception processing method provided by this application;

Figure 6 is a structural diagram of a perception processing device provided by this application;

Figure 7 is a structural diagram of another perception processing device provided by this application;

Figure 8 is a structural diagram of the communication device provided by this application;

Figure 9 is a structural diagram of the terminal provided by this application;

Figure 10 is a structural diagram of a network side device provided by this application;

Figure 11 is a structural diagram of another network side device provided by this application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and that "first" and "second" are distinguished objects It is usually one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

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

Figure 1 shows a block diagram of a wireless communication system to which embodiments of the present application are applicable. The wireless communication system includes a terminal 11 and a network side device 12. Among them, the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a handheld computer, a netbook, or a super mobile personal computer. (ultra-mobile personal computer, UMPC), mobile Internet device (Mobile Internet Device, MID), augmented reality (augmented reality, AR)/virtual reality (VR) equipment, robots, wearable devices (Wearable Device) , 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 computers (personal computer, PC), teller machine or self-service machine and other terminal-side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets) bracelets, smart anklets, etc.), smart wristbands, smart clothing, etc. It should be noted that the embodiment of the present application does not limit the specific type of the terminal 11. The network side equipment 12 may include access network equipment or core network equipment, where the access network equipment may also be called wireless access network equipment, radio access network (Radio Access Network, RAN), radio access network function or wireless access network unit. Access network equipment can include base stations, Wireless Local Area Network (WLAN) access points or Wireless Fidelity (WiFi) nodes, etc. The base station can be called Node B, Evolved Node B (Evolved Node B). eNB), access point, base transceiver station (Base Transceiver Station, BTS), radio base station, radio transceiver, basic service set (Basic Service Set, BSS), extended service set (Extended Service Set, ESS), home B Node, home evolved B node, Transmission Reception Point (TRP) or some other suitable term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical terms. It needs to be explained that , in the embodiment of this application, only the base station in the NR system is taken as an example for introduction, and the specific type of the base station is not limited. Core network equipment may include but is not limited to at least one of the following: core network nodes, core network functions, mobility management entities (Mobility Management Entity, MME), access mobility management functions (Access and Mobility Management Function, AMF), session management functions (Session Management Function, SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Services Discovery function (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data warehousing (Unified Data Repository, UDR), home subscriber server (Home Subscriber Server, HSS), centralized network configuration ( Centralized network configuration, CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (Local NEF, or L-NEF), Binding Support Function (Binding Support Function, BSF), application function (Application Function, AF), etc. It should be noted that in the embodiment of this application, only the core network equipment in the NR system is used as an example for introduction, and the specific type of the core network equipment is not limited.

To facilitate understanding, some contents involved in the embodiments of this application are described below:

1. Integrated Sensing and Communication (ISAC).

Wireless communications and radar sensing (Communication & Sensing, C&S) have been developing in parallel, but the intersection is limited. They have many commonalities in signal processing algorithms, equipment, and to a certain extent system architecture. In recent years, traditional radar is developing towards more general wireless sensing. Wireless sensing can broadly refer to retrieving information from received radio signals. For wireless sensing related to sensing the target position, common signal processing methods can be used to estimate target signal reflection delay, arrival angle, departure angle, Doppler and other dynamic parameters; for sensing the physical characteristics of the target, the device can be /Object/Activity's intrinsic signal patterns are measured to achieve this. The two sensing methods can be called sensing parameter estimation and pattern recognition respectively. In this sense, wireless sensing refers to more general sensing technologies and applications that use radio signals.

Communication perception integration can also be called synaesthesia integration. ISAC has the potential to integrate wireless perception into mobile networks, which is called Perceptive Mobile Networks (PMNs) here. Sensing mobile networks are capable of providing both communication and wireless sensing services, and are expected to become a ubiquitous wireless sensing solution due to their large broadband coverage and strong infrastructure. Perceptual mobile networks can be widely used in communication and sensing in the fields of transportation, communications, energy, precision agriculture, and security. It can also provide complementary sensing capabilities to existing sensor networks, with unique day and night operation capabilities and the ability to penetrate fog, foliage and even solid objects.

Multiple-Input Multiple-Output (MIMO) radar and high-precision parameter estimation technology.

MIMO radar uses waveform diversity (Waveform Diversity) and virtual array (Virtual Array) characteristics to obtain higher detection/estimation resolution, higher maximum number of identifiable targets, and better detection/estimation resolution than phase array (Phase Array). Clutter suppression capability. MIMO radar can be divided into centralized MIMO radar (Co-located MIMO Radar) and distributed MIMO radar (Distributed MIMO Radar) according to the deployment location of the antenna. The principle of MIMO radar virtual array is as follows. Consider that the total number of MIMO radar transmitting array antennas is M, the position coordinates of each transmitting antenna are x _T,m ,m=0,1,...,M-1, the total number of receiving array antennas is N, and the coordinates of each receiving antenna are x _{R, n} ,n=0,1,...,N-1. Assuming that the signals transmitted by each transmitting antenna are orthogonal, then:

Among them, s _m (t) represents the transmission signal of the m-th antenna, s _k (t) represents the transmission signal of the k-th antenna, and δ _mk is the Dirac function. At this time, each receiving antenna of the receiver uses M matched filters to separate the transmitted signals, so the receiver obtains a total of NM received signals. Considering a far-field point target, the target response obtained by the m-th matched filter of the n-th receiving antenna can be expressed as:

Among them, u _t is a unit vector pointing from the radar transmitter to the point target, α ^(t) is the reflection coefficient of the point target, and λ is the carrier frequency wavelength of the transmitted signal.

It can be seen that the phase of the reflected signal is determined by both the transmitting and receiving antennas. Equivalently, the target response of equation (2) is exactly the same as the target response obtained by an array with NM antennas. The equivalent array antenna position coordinates are:
{x _T,m +x _R,n |m＝0,1,...,M-1; n＝0,1,...,N-1} (3)

The array with the number of antennas NM is called a virtual array (Virtual Array, VA). When MIMO radar is actually deployed, by rationally setting the positions of the transmitting array and/or receiving array, it is possible to construct a system containing only N+M physical antennas. An array of NM non-overlapping virtual antennas. Since virtual arrays tend to form larger array apertures, better angular resolution can be obtained.

Considering the implementation complexity and hardware cost issues, most of the 5G and 6G large-scale antenna arrays adopt a hybrid array architecture, that is, a digital channel is independently connected to a physical antenna sub-array (i.e., a group of physical antenna elements), and the sub-array is synsensed A set of phase shifters implements analog beamforming. Digital channels are often smaller than the actual number of physical antenna elements. If traditional high-precision parameter estimation algorithms (such as MUSIC, ESPRIT, etc.) are directly used, the high-precision angle sensing potential of large-scale antenna arrays will not be fully utilized. The related art proposes an augmented beam domain angle estimation method, which can solve the above problems. The core idea is as follows. Consider a linear array with N antennas, in which L consecutive antennas are a sub-array, connected to a digital channel through a phase shifter, with a total of M digital channels, that is, N=ML. Suppose b _m is the analog beamforming vector of the m-th sub-array, then the relationship between the antenna received signal vector r(n)∈C ^N×1 and the shaped and combined digital channel signal vector z(n)∈C ^M×1 for:

where B∈C ^N×M is the simulation beamforming matrix. Obviously, compared with the all-digital channel array, the dimension of the received signal vector z(n) has changed from N×1 to M×1. If M is too small, on the one hand, the angle estimation resolution will be reduced, and on the other hand, the signal that can be estimated The number is significantly limited. The idea of the augmented beam domain estimation method is to generate T groups of linearly independent z(n) by changing B and splicing them together, thereby expanding the received signal vector dimension and the degree of freedom of the correlation matrix, that is, z(n)=B ^H (n )r(n), the received signal vector is [z(n),z(n+1),...,z(n+T-1)], and the dimension becomes MT×1.

3. New Radio (NR) beam management.

At present, the idle frequency bands of mobile communication networks are decreasing day by day, and the used frequency bands are gradually developing towards high frequencies, such as millimeter wave (mmWave) promoted by 5G NR and terahertz (THz) promoted by 6G. These frequency bands have a large number of Available resources. However, higher frequencies mean greater transmission losses, so beam management techniques are used in NR. In mobile communication networks, both base stations and user equipment (UE) may use beam forming to form beams with narrow beam widths. The purpose of beam management is to obtain and maintain a set of base station-terminal beam pairs that can be used for downlink (Down Link, DL) and uplink (Up Link, UL) transmission/reception to improve link performance. Beam management includes the following aspects: beam scanning, beam measurement, beam reporting, beam indication, and beam failure recovery.

During the downlink beam management process, beam scanning is divided into three stages: P1, P2, and P3, among which:

P1 stage: The base station and the terminal scan simultaneously, the base station's beam is wider, and the reference signal is Synchronization Signal and PBCH block (SSB). The protocol stipulates the transmission behavior of the base station, but does not stipulate the behavior of the terminal;

P2 stage: The terminal fixes the receiving beam, the base station scans the narrow beam, and the reference signal is the channel state information reference signal (Channel State Information Reference Signal, CSI-RS);

P3 stage: The base station transmits a fixed beam (narrow beam), and the terminal scans the narrow beam. The terminal beam scanning is its own behavior, and the base station needs to cooperate with the fixed beam transmission.

Among the above three processes, P1 must be executed, but P2 and P3 are not necessary. On the basis of P1, if there are higher requirements for the service, the P2 process can be executed; if the terminal capability is available and the base station believes that the service performance can be further improved, the P3 process can be executed. The P1 process usually only relies on SSB. The P3 process requires a fixed terminal to transmit the beam, so it is not suitable to use SSB and should use CSI-RS. The P2 process can be based on either SSB or CSI-RS.

The beam scanning of uplink beam management is based on SRS. Similar to downlink, it can be divided into U1, U2 and U3 stages, among which:

U1 phase: The base station scans the transmit beam of the terminal to determine the optimal transmit beam of the UE, and at the same time scans the receive beam of the TRP to determine the optimal receive beam of the base station; (this process is optional)

U2 phase: When the UE transmit beam is fixed, the base station scans the TRP receive beam and determines the optimal receive beam;

U3 stage: On the premise of determining the optimal receiving beam, the base station selects the optimal UE transmitting beam by scanning the terminal's transmit beam;

Uplink beam management can be accomplished by configuring dedicated Sounding Reference Signal (SRS) resources, or it can be based on beam reciprocity and determine the best uplink transmit beam (direction) through the best downlink transmit beam.

If the current reception quality of the user control channel is lower than a certain threshold due to occlusion, the terminal side initiates a beam failure recovery process. Beam failure detection is mainly based on the SSB or CSI-RS reference signal configured on the base station side. If the terminal detects that the number of failures is greater than or equal to the maximum number of failures within the failure detection timer, it triggers the beam failure recovery process. The TRP receives the uplink recovery request signal through the receiving end beam scanning, and the terminal will recover based on the beam. Re-select the new SSB corresponding beam according to the parameter configuration, initiate a random access process on the Physical Random Access Channel (PRACH) resource used for beam recovery, re-establish a new beam pair with the base station, and resume transmission.

4. Perceptual measurement.

In the mobile communication network, the base station (including one or more Transmission Reception Points (TRP) on the base station), the user equipment (User Equipment (UE)) (including one or more sub-arrays/panels (Panel) on the UE) )), can be used as a sensing node participating in sensing/synaesthesia integrated services. Typical UEs include mobile phone terminals, portable tablet computers, etc. By sending and receiving the first signal between nodes, it is possible to realize a certain area or an entity target Perception is performed. The first signal may be a signal that does not contain transmission information, such as existing LTE/NR synchronization and reference signals, including SSB, CSI-RS, Demodulation Reference Signal (DMRS), SRS, Positioning Reference Signal (PRS), Phase Tracking Reference Signal (PTRS), etc.; it can also be single-frequency continuous wave (Continuous Wave, CW), frequency modulated continuous wave (Frequency Modulated CW) commonly used in radar. FMCW), and ultra-wideband Gaussian pulses, etc.; it can also be a newly designed dedicated signal with good correlation characteristics and low peak-to-average power ratio, or a newly designed synaesthesia integrated signal that not only carries certain information but also has better Perceptual performance. For example, the new signal is at least one dedicated perceptual signal/reference signal, and at least one communication signal spliced/combined/superimposed in the time domain and/or frequency domain.

Depending on whether the sensing nodes are the same device, it can be divided into two sensing methods: A sending and B receiving, and A spontaneously receiving. A sending and receiving B means that sensing node A and sensing node B are not the same device and are physically separated; A spontaneous and self-receiving means that the first signal is sent and received by the same device, and sensing node A performs sensing by receiving the signal echo sent by itself. Know. This patent mainly discusses the A sending and B receiving sensing method.

The node that sends and/or receives the first signal is called a sensing node. The node that instructs, schedules, controls, and calculates sensing results can be one of the sensing nodes, or it can be a device in the core network, such as sensing function network element (Sensing Function, SF), access And mobility management function (Access and Mobility Management Function, AMF), awareness application server in the core network, etc.

Since 5G and future 6G will increasingly use high-frequency band communications, NR has introduced beam management to overcome high-frequency attenuation, enhance communication coverage, and ensure communication quality. For base stations or UEs with multiple antennas, a digital channel is usually connected to multiple physical antenna elements, and multiple physical antenna elements use analog beamforming to generate directional beams. When the sensing node has less prior information about the environment, or the sensing service is to sense a larger area, a single beam of the above hardware architecture may not be able to cover the sensing target/sensing area. If a wide beam is used to increase sensing coverage, the sensing angular resolution will decrease due to the increase in beam width. Furthermore, since beam management uses fewer ports (SSB is a single port and the number of CSI-RS ports is 1 or 2 (cross-polarization)), it is impossible or difficult to achieve high-precision sensing based on the MIMO radar principle.

To this end, this application provides a sensing node with at least two ports (or multi-ports) for beam management, where each port is mapped to a physical antenna/antenna sub-array at a different array position. Multi-port sensing beam management at least includes: sensing beam scanning, sensing beam measurement, sensing beam reporting/instruction, and sensing beam failure recovery. Based on the sensing beam measurement results of at least two ports, the optimal sensing beam set of each port is obtained, thereby fully utilizing the array aperture to achieve high-precision sensing.

The perception processing method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through some embodiments and application scenarios.

Referring to Figure 2, an embodiment of the present application provides a perception processing method. As shown in Figure 2, the perception processing method includes:

Step 201: The first device determines the first measurement result based on multi-port sensing beam measurement;

In this embodiment of the present application, the above-mentioned first device can be understood as a computing node that calculates the first measurement result. The first device may specifically be a sensing node or a sensing function network element, which is not further limited here.

Optionally, based on multi-port sensing beam measurement, it can be understood that the first sensing node and/or the second sensing node performs sensing beam scanning on at least two ports to implement sensing measurement. The first sensing node is a sending node of the first signal used for the sensing measurement, and the second sensing node is a receiving node of the first signal.

Optionally, the above-mentioned first measurement result may be understood as a sensing beam measurement result, and may specifically include a measurement value of a sensing measurement quantity of multi-port sensing beam measurement.

Step 202: The first device determines a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies the sensing condition.

Optionally, after determining the first measurement result, the first device may determine the first beam set according to the above-mentioned first measurement result, that is, the beam set that satisfies the sensing condition. The above-mentioned at least one beam that satisfies the sensing condition can be understood that the sensing measurement quantity corresponding to the at least one beam satisfies the sensing condition, that is, the measurement value of the sensing measurement quantity of the at least one beam is good and can be used for subsequent sensing services. The above-mentioned first beam set can be understood as the optimal sensing beam set.

In this embodiment of the present application, the first device determines a first measurement result based on multi-port sensing beam measurement, and determines a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies sensing conditions. Increases the number of ports for beam management as sensing measurements are performed on multiple ports, thus fully utilizing the array aperture Achieve high-precision/super-resolution perception. Therefore, the embodiments of the present application improve the accuracy of sensing, improve the sensing signal-to-noise ratio (SNR), and overcome the problem of limited high-frequency sensing coverage.

Optionally, in some embodiments, the method further includes:

The first device sends first beam information to the second device, where the first beam information includes beam information of at least some beams in the first beam set;

Wherein, the first device is one of a first sensing node, a second sensing node and a sensing function network element, and the second device includes any one of the first sensing node, the second sensing node and the sensing function network element. At least one device other than the first device, the first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

In the embodiment of the present application, during the process of multi-port sensing beam measurement, the first sensing node may perform a beam scanning operation (which may also be called a sensing beam scanning operation) and/or the second sensing node may perform a beam scanning operation. In different situations, the corresponding first beam information contains different contents. For example, in some embodiments, the first beam information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first beam information includes the first beam Beam information of the transmission beam of the first sensing node in the set;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes all the information in the first beam set. Beam information of the receiving beam of the second sensing node;

In the case where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports, the first beam information includes the first beam Beam information of the transmitting beam of the first sensing node in the set, and/or beam information of the receiving beam of the second sensing node in the first beam set;

Wherein, the first beam scanning operation is used to send a first signal, the second beam scanning operation is used to receive a first signal, and N and M are both integers greater than 1.

In the embodiment of the present application, for the situation where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node uses at least one port to receive, it can be understood that the beam scanning rule is only the first sensing node Perform multi-port sensing beam scanning; for the situation where the first sensing node uses at least one port to send the first signal, and the second sensing node performs the second beam scanning operation on M ports, it can be understood that the beam scanning rule is only the first sensing node. Two sensing nodes perform multi-port sensing beam scanning; for the situation where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports, it can be understood as The beam scanning rule is that both the first sensing node and the second sensing node perform multi-port sensing beam scanning.

It should be noted that for different scanning rules, the corresponding computing nodes are different, and the corresponding sending rules of the first beam information are different, which will be described in detail below.

For Rule 1, only the first sensing node performs multi-port sensing beam scanning, which may include the following situations:

1) If the second sensing node is the calculation node of the first measurement result, the second sensing node sends the beam information of the sending beam of the first sensing node that meets the sensing conditions to the first sensing node. Optionally, the second sensing node sends beam information of the transmission beam of the first sensing node that meets the sensing conditions to the sensing function network element;

2) If the first sensing node is the calculation node of the first measurement result, optionally, the first sensing node sends beam information of the sending beam of the first sensing node that meets the sensing conditions to the sensing function network element and/or the second sensing node. ;

3) If the sensing function network element is the calculation node of the first measurement result, the sensing function network element sends the beam information of the sending beam of the first sensing node that meets the sensing conditions to the first sensing node. Optionally, the sensing function network element sends beam information of the sending beam of the first sensing node that meets the sensing conditions to the second sensing node.

For Rule 2, only the second sensing node performs multi-port sensing beam scanning, which may include the following situations:

1) If the second sensing node is the computing node of the first measurement result, optionally, the second sensing node sends the receiving beam of the second sensing node that meets the sensing conditions to the sensing function network element and/or the first sensing node. information;

2) If the first sensing node is the calculation node of the first measurement result, the first sensing node sends the beam information of the receiving beam of the second sensing node that meets the sensing conditions to the second sensing node; optionally, the first sensing node sends to the second sensing node The sensing function network element sends the beam information of the receiving beam of the second sensing node that meets the sensing conditions;

3) If the sensing function network element is the calculation node of the first measurement result, the sensing function network element sends the beam information of the receiving beam of the second sensing node that meets the sensing conditions to the second sensing node. Optionally, the sensing function network element sends the beam information of the receiving beam of the second sensing node that meets the sensing conditions to the first sensing node.

For Rule 3, both the first sensing node and the second sensing node perform multi-port sensing beam scanning, which may include the following situations:

1) If the second sensing node is the calculation node of the first measurement result, the second sensing node sends the beam information of the sending beam of the first sensing node that meets the sensing conditions to the first sensing node. Optionally, the second sensing node sends to the sensing function network element the beam information of the sending beam of the first sensing node that satisfies the sensing condition and/or the set of receiving beams of the second sensing node that satisfies the sensing condition;

2) If the first sensing node is the calculation node of the first measurement result, the first sensing node sends the beam information of the receiving beam of the second sensing node that meets the sensing conditions to the second sensing node; optionally, the first sensing node sends to the second sensing node The sensing function network element sends beam information of the receiving beam of the second sensing node that meets the sensing condition and/or a set of transmit beams of the first sensing node that meets the sensing condition;

3) If the sensing function network element is the calculation node of the first measurement result, the sensing function network element sends the beam information of the sending beam of the first sensing node that meets the sensing conditions to the first sensing node. The sensing function network element sends the beam information of the receiving beam of the second sensing node that satisfies the sensing condition to the second sensing node; optionally, the sensing function network element sends the receiving beam of the second sensing node that satisfies the sensing condition to the first sensing node. beam information. Optionally, the sensing function network element sends the beam information of the sending beam of the first sensing node that meets the sensing conditions to the second sensing node.

Optionally, the above-mentioned beam information may include the resource identifier (IDentifier, ID) of the first signal, the beam identifier, the number of beams, the beam angle, the precoding vector used to form the beam, the beamforming vector used to form the beam, At least one of a precoding matrix for beam formation and a beamforming matrix for beam formation.

Optionally, in some embodiments, when the first device is a first sensing node, the method further includes any of the following:

The first device performs a first beam scanning operation on N ports, the first beam scanning operation is used to send a first signal, and N is an integer greater than 1;

The first device sends the first signal using at least one port;

Wherein, the first signal is used for the multi-port sensing beam measurement.

Optionally, the above-mentioned first beam scanning operation can be understood as the first sensing node performing multi-port sensing beam scanning. In the embodiment of this application, for the above-mentioned rule 1 and rule 3, the first device performs the first beam scanning operation on N ports. For the above-mentioned rule 2, the first device uses at least one port to send the first beam scanning operation. Signal.

Optionally, in some embodiments, the first device determining the first measurement result of multi-port sensing beam measurement includes:

The first device receives first information from a sensing function network element or a second sensing node;

The first device determines the first measurement result based on the first information.

Optionally, in some embodiments, when the first device is a second sensing node, the method further includes any of the following:

The first device performs a second beam scanning operation on M ports, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The first device receives the first signal using at least one port;

Wherein, the first signal is used for the multi-port sensing beam measurement.

Optionally, the above-mentioned first beam scanning operation can be understood as the first sensing node performing multi-port sensing beam scanning. In the embodiment of this application, for the above-mentioned rule 2 and rule 3, the first device performs the first beam scanning operation on N ports. For the above-mentioned rule 1, the first device uses at least one port to send the first beam scanning operation. Signal.

Optionally, the first device determining the first measurement result based on multi-port sensing beam measurement includes:

The first device receives the second information from a sensing function network element or a first sensing node, and the first sensing node is the sending node of the first signal;

The first device determines the first measurement result based on the second information.

Optionally, in some embodiments, when the first device is a sensing function network element, determining the first measurement result of the first measurement by the first device includes:

The first device receives second information from a first sensing node and receives first information from a second sensing node;

The first device determines the first measurement result based on the first information and the second information;

Wherein, the first sensing node is a sending node of the first signal used for the first measurement, and the second sensing node is a receiving node of the first signal.

Optionally, the first information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first information includes at least one of the following : Parameter configuration information of the first signal, received signal digital inphase and quadrature (IQ) data of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, The mapping relationship between the received signal IQ data of the first signal and the precoding vectors of the N ports, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the N ports, the equivalent channel matrix, The mapping relationship between the equivalent channel matrix and the precoding vectors of the N ports, the mapping relationship between the equivalent channel matrix and the beamforming vectors of the N ports, and the equivalent channel correlation matrix eigenvector;

When the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, so The precoding matrices of the M ports, the beamforming matrices of the M ports, the received signal IQ data of the first signal and the M The mapping relationship between the precoding vectors of the ports, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the M ports, the equivalent channel matrix, the equivalent channel matrix and the precoding of the M ports The mapping relationship between vectors, the mapping relationship between the equivalent channel matrix and the beamforming vectors of the M ports, and the equivalent channel correlation matrix eigenvectors;

Wherein, the second beam scanning operation is used to receive the first signal, and M and N are integers both greater than 1.

Optionally, the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information includes at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports , the beamforming matrix of the N ports, the mapping relationship between the precoding vectors of the N ports and the received signal IQ data of the first signal, the beamforming vector of the N ports and the reception of the first signal The mapping relationship of signal IQ data, the number of scanning beams, the beam scanning time interval, and the physical antenna information mapped when the N ports perform beam scanning;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the second information includes at least one of the following: Parameter configuration information of a signal, the first sensing node is used to send the precoding matrix of the at least one port of the first signal, and the first sensing node is used to send the beam of the at least one port of the first signal. A shaping matrix, and physical antenna information mapped by the at least one port used by the first sensing node to send the first signal;

Wherein, the first beam scanning operation is used to send the first signal, the second beam scanning operation is used to receive the first signal, and N and M are both integers greater than 1.

In the embodiment of the present application, the first information exchanged between the first sensing node, the second sensing node and the sensing function network element corresponding to the above different scanning rules is different. This is explained in detail below.

Regarding the above rule 1, the first sensing node may send the configured first signal on N ports based on beam scanning, and the second sensing node uses at least one port to receive the first signal sent by the first sensing node. The following situations exist based on different computing nodes:

1) If the second sensing node is the calculation node of the first measurement result, the first sensing node and/or the first device sends at least one of the following information to the second sensing node: parameter configuration information of the first signal, The precoding/beamforming matrix of N ports of a sensing node, the mapping relationship between the precoding/beamforming vectors of N ports and the received signal IQ data of the first signal, the number of scanning beams, and the beam scanning time interval, The physical antenna information mapped during beam scanning of N ports;

2) If the first sensing node is the computing node of the first measurement result, the second sensing node and/or the first device sends at least one of the following information to the first sensing node: parameter configuration information of the first signal, The received signal IQ data of a signal, the mapping relationship between the received signal IQ data of the first signal and the precoding/beamforming vectors of N ports, the equivalent channel matrix, the equivalent channel matrix and the precoding/beaming of N ports Mapping relationship of shaped vectors, equivalent channel correlation matrix eigenvectors;

3) If the first device is the computing node for the first measurement result, the first sensing node needs to send at least one of the following information to the first device: parameter configuration information of the first signal, N ports of the first sensing node The precoding/beamforming matrix, the mapping relationship between the precoding/beamforming vectors of N ports and the received signal IQ data of the first signal, the number of scanning beams, the beam scanning time interval, and the beam scanning of N ports The physical antenna information required for mapping;

The second sensing node needs to send at least one of the following information to the first device: parameter configuration information of the first signal, The received signal IQ data of the first signal, the mapping relationship between the received signal IQ data of the first signal and the precoding/beamforming vectors of N ports, the equivalent channel matrix, the equivalent channel matrix and the precoding/beamforming vectors of N ports Mapping relationship of beamforming vectors, equivalent channel correlation matrix eigenvectors.

Regarding the above rule 2, the first sensing node may use at least one port to send the first signal, and the second sensing node receives the configured first signal on M ports based on beam scanning. The following situations exist based on different computing nodes:

1) If the second sensing node is the computing node of the first measurement result, the first sensing node and/or the first device sends at least one of the following information to the second sensing node: parameter configuration information of the first signal, A precoding/beamforming matrix of at least one port of a sensing node, and physical antenna information mapped during beam scanning of at least one port of a first sensing node;

2) If the first sensing node is the computing node of the first measurement result, the second sensing node and/or the first device sends at least one of the following information to the first sensing node: parameter configuration information of the first signal, The received signal IQ data of a signal, the precoding/beamforming matrices of the M ports of the second sensing node, the mapping relationship between the received signal IQ data of the first signal and the precoding/beamforming vectors of the M ports, etc. The effective channel matrix, the mapping relationship between the equivalent channel matrix and the precoding/beamforming vectors of M ports, and the equivalent channel correlation matrix eigenvector;

3) If the first device is the computing node for the first measurement result, the first sensing node sends at least one of the following information to the first device: parameter configuration information of the first signal, at least one port of the first sensing node. Precoding/beamforming matrix, physical antenna information mapped during beam scanning of at least one port of the first sensing node;

The second sensing node sends at least one of the following information to the first device: parameter configuration information of the first signal, received signal IQ data of the first signal, and precoding/beamforming matrices of the M ports of the second sensing node. , the mapping relationship between the received signal IQ data of the first signal and the precoding/beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding/beamforming vectors of the M ports, Equivalent channel correlation matrix eigenvector.

Regarding the above rule 3, the first sensing node may send the configured first signal on N ports based on beam scanning, and the second sensing node may receive the configured first signal on M ports based on beam scanning. The following situations exist based on different computing nodes:

3) If the first device is the computing node for the first measurement result, the first sensing node sends at least one of the following information to the first device: parameter configuration information of the first signal, N ports of the first sensing node Precoding/beamforming matrix, mapping relationship between precoding/beamforming vectors of N ports and received signal IQ data of the first signal, number of scanning beams, beam scanning time interval, and beam scanning time of N ports The mapped physical antenna information;

Optionally, in some embodiments, the sensing conditions include at least one of the following:

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first preset threshold within the first preset time period, or is higher than the first preset threshold within the first preset time period. The number of times of a preset threshold is greater than the first preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the second preset threshold within the first preset time period, or is higher than the second preset threshold within the first preset time period. When the second preset threshold number is greater than the second preset number of times, the at least two beams include beams of at least two ports;

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The number of times of the value is greater than the third preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The number of times of the first measurement value is greater than the fourth preset number of times;

Wherein, the at least two beams include beams of at least two ports, and the first measurement value is a measurement value of a sensing measurement quantity corresponding to a historically determined first beam set.

In the embodiment of the present application, if the measured value of the perceptual measurement quantity is higher than the first preset threshold, it can be understood that the measured value of the perceptual measurement quantity is better than the first preset threshold, that is, the perceptual performance on the corresponding beam is better and can satisfy The need for perceptual accuracy. If the measured value of the perceptual measurement quantity is higher than the first measurement value, it can be understood that the measured value of the perceptual measurement quantity is better than the first measurement value, that is, the perceptual performance on the corresponding beam is better than the perceptual performance on the historical beam, which can further improve the perceptual accuracy. , improve perceived performance.

Optionally, in some embodiments, before the first device determines the first measurement result based on multi-port sensing beam measurement, the method further includes:

When the first device receives the sensing request, it determines the first parameter configuration information, the second parameter configuration information and the third parameter configuration information according to the target sensing capability information of the sensing node, wherein the first parameter configuration information is For multi-port cognitive beam scanning, the second parameter configuration information is used for multi-port cognitive beam measurement, and the third parameter configuration information is used for executing synesthesia services.

Optionally, the sensing request includes at least one of the following information:

Perceived quality of service (Quality of Service, QoS) or synaesthesia integrated QoS;

perceived target type;

The physical range within which at least one sensing target is located;

The physical range within which at least one sensing area is located;

Historical prior information on at least one perceptual target;

Historical prior information on at least one perceptual area;

Sense the status information of the node.

In the embodiment of the present application, perception QoS or synaesthesia integrated QoS may include at least one of the following: perception/synaesthesia integration service type, perception/synaesthesia integration service priority, perception detection probability, perception false detection probability, perception Recognition accuracy requirements, perception resolution requirements, perception error requirements, perception delay budget, maximum perception range requirements, continuous perception capability requirements and perception update frequency requirements. Optionally, communication QoS may be further included, such as communication delay budget and packet error rate.

Sensing target types can include pedestrians, common vehicles such as large cars, cars, motorcycles, bicycles, etc.

The historical prior information of the perceived target may include the historical status information of the perceived target, such as position, speed, orientation, radar cross section (RCS), etc.

The historical prior information of the sensing area may include historical environment information of the sensing area, including, for example, environmental wireless channel characteristics, human flow, traffic flow, building types, building distribution density, etc.

The status information of the sensing node may include the position information of the sensing node, the orientation information of the sensing node antenna array (such as the horizontal azimuth angle and vertical pitch angle of the panel normal), the sensing node antenna array height information, and the sensing node motion status information (such as stationary , size and direction of movement speed), etc.

Optionally, the target sensing capability information includes multi-port beamforming capability information and other sensing capability information in addition to the multi-port beamforming capability information;

Wherein, the multi-port beamforming capability information includes at least one of the following: the maximum number of ports supported for sensing; the beamforming type that each port can support; the quantization accuracy of the amplitude adjustment of the beamforming of each port; The quantization accuracy of the phase adjustment of the port beamforming; the physical antenna information mapped to each port; the minimum and/or average delay of the precoding weight switching of each port; the minimum and/or average delay of the beamforming weight switching of each port ; Minimum and/or average delay for precoding to take effect on each port; Minimum and/or average delay for beamforming to take effect on each port; When at least one port uses analog beamforming, the corresponding 3dB beam width of the port; At least When a port uses analog beamforming, the minimum beam scanning angle interval of the port; when at least one port uses analog beamforming, the maximum number of beams on the port; when at least one port uses analog beamforming, Port beam scan maximum angular range.

In this embodiment of the present application, when a sensing node is not a computing node, the sensing node needs to report target sensing capability information.

For example, in some embodiments, when the first device is a first sensing node, the method further includes:

The first device receives the target sensing capability information of the second sensing node from the second sensing node;

Wherein, the first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

For example, in some embodiments, when the first device is a second sensing node, the method further includes:

The first device receives target sensing capability information of the first sensing node from a first sensing node.

For example, in some embodiments, when the first device is a sensing function network element, the method further includes:

The first device receives the target sensing capability information of the first sensing node from the first sensing node, and receives the target sensing capability information of the second sensing node from the second sensing node.

Optionally, the above physical antenna information may include at least one of the following: total number of antenna array elements (or total number of array elements in horizontal or vertical directions), array type (line array/area array) indication, antenna element spacing (including horizontal Directional array element spacing, vertical direction array element spacing), array element polarization mode (vertical polarization/horizontal polarization/±45° polarization/circular polarization), antenna Array element 3D pattern, total number of antenna sub-arrays (also called panels), panel array (line array/area array) indication, panel spacing (including horizontal panel spacing, vertical panel spacing), antenna array aperture , the steering vector/steering matrix of all array elements in the antenna array relative to a known reference point, the panel array aperture, the steering vector/steering matrix of all antenna panels relative to a known reference point, the steering vector/steering matrix of all array elements in any panel relative to a known reference point, Know the steering vector/steering matrix of the reference point.

Optionally, the above-mentioned other perceptual capability information may include at least one of the following:

The maximum bandwidth to support sensing services;

The time-frequency domain resources available for the first signal include time-frequency resource location, resource frequency-domain density, frequency-domain quantity, resource time-domain length/number, density/period, etc.;

The first signal resource of each port can be used in orthogonal methods (including Time Division Multiplexing (TDM), Frequency Division Multiplexing (FDM), Doppler Frequency Division Multiplexing (DDM), Code Division Multiplexing (CDM), or a combination of at least 2 of the above multiplexing schemes).

Optionally, the reporting of the target sensing capability information may be periodic or triggered based on sensing requests.

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

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

Beam scanning precoding vectors or beam scanning precoding matrices of at least two ports of the sensing node;

beam scanning beamforming vectors or beam scanning beamforming matrices of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

sensing the time domain configuration information of the first signal of at least two ports of the node;

Frequency domain configuration information of the first signal of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Physical antenna indication information for at least one port of the sensing node to be used for beam scanning;

Wherein, the first signal is used for the first measurement, and the beam scanning rule includes at least one of the following: only the first sensing node performs multi-port sensing beam scanning, only the second sensing node performs multi-port sensing beam scanning, and Both the first sensing node and the second sensing node perform multi-port sensing beam scanning, the first sensing node is a sending node of the first signal, and the second sensing node is a receiving node of the first signal.

In this embodiment of the present application, the above time domain configuration information may include time domain position (including starting position) information, time domain density information, and time domain length information. If it is uniformly distributed, it should include the corresponding resource unit (Resource Element, RE), or resource block (Resource Block, RB), or the first signal pulse (Burst) (consisting of one or more RE/RB), or the third The starting index, quantity, time domain length, interval/density and other information of a signal frame (Frame) (consisting of one or more bursts); if it is non-uniformly distributed, it should include all RE/RB/burst/frame indexes information. Among them, not at the same time The first signal resource at the domain position corresponds one-to-one to different beams during beam scanning according to predetermined rules.

Optionally, the above frequency domain configuration information may include frequency domain position (including starting position) information, frequency domain density information, and frequency domain width (bandwidth) information. If it is a uniform comb distribution, it should include the starting index, interval and other information of the corresponding RE/RB; if it is a non-uniform distribution, it should include all RE/RB index information, etc.); among them, the first signal resources at different frequency domain positions According to predetermined rules, there is a one-to-one correspondence with different beams during beam scanning.

Optionally, for multi-port sensing beam scanning, on at least two ports of the first sensing node and/or the second sensing node, the beam scanning order of each port may be the same or different, and the beam scanning order of each port may be determined by the The beam scanning rule indicates that first signal resources at different time domain and/or frequency domain positions correspond to different beams during beam scanning in accordance with predetermined rules.

Optionally, the orthogonal mode configuration information may include an orthogonal mode indication (orthogonal mode includes TDM, FDM, DDM, CDM, and a combination of at least two of the above multiplexing schemes (such as TDM+FDM, etc.)), and each port Parameter configuration information related to the first signals that are orthogonal to each other, such as the time-frequency pattern of the first signal at each port, orthogonal coding type (orthogonal coding can be a Walsh code, Hadamard code, Barker code, etc.), DDM initial phase and phase Modulation slope, etc.

Optionally, the above physical antenna indication information includes at least one of the following: antenna element ID, panel ID, position information of the antenna element relative to a local reference point on the antenna array (can be expressed in Cartesian coordinates (x, y, z ) or spherical coordinates Represented), the position information of the panel relative to a local reference point on the antenna array (can use Cartesian coordinates (x, y, z) or spherical coordinates Represents), the bitmap information of the antenna element (for example: the bitmap uses "1" to indicate that the array element is selected for transmitting and/or receiving the first signal, and uses "0" to indicate that the array element is not selected (it can also be reversed) ), panel’s bitmap information.

It should be noted that the above-mentioned multi-port sensing beam scanning can be realized through digital beamforming or analog beamforming; the beam scanning shaping/precoding matrix of each port, or the shaping/precoding codebook index, corresponds to The scanning beam can be spatially discontinuous.

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

The sensing measurement quantity of at least one port used for beam measurement;

Port identification of at least two ports used for beam measurements;

Time domain configuration information of the first signal of at least two ports used for beam measurement;

Frequency domain configuration information of the first signal of at least two ports used for beam measurement;

Physical antenna information for at least two ports used for beam measurements;

In the case where the first signal is sent through at least two ports, orthogonal configuration information of the first signal at each port;

Third indication information, the third indication information is used to indicate the sensing condition;

Fourth indication information, the fourth indication information is used to indicate the judgment condition for failure of the sensing beam corresponding to the first beam set.

It should be understood that the above-mentioned sensing measurement quantity can be obtained from one port, or can be comprehensively calculated based on at least two ports. Among them, comprehensive calculation means obtaining one measured value, not obtaining two measured values separately.

The above-mentioned third indication information may include the judgment information of the above-mentioned sensing conditions, for example, may include threshold information of at least one sensing measurement quantity used to determine the optimal sensing beam.

The above-mentioned fourth indication information may include judgment information for judging that the sensing beam fails. For example, it may include at least one sensing measurement quantity threshold information for judging that the sensing beam fails.

Optionally, the perceptual measurement quantity includes at least one of the following:

The received strength (amplitude or power) or received signal strength indicator (Received Signal Strength Indicator, RSSI) of the sensing target or sensing area reflection signal of at least two ports;

An indication of the reception quality of signals reflected from the sensing target or sensing area on at least two ports;

The received signal-to-noise ratio SNR or the signal-to-noise and interference ratio (SINR) of the reflected signal from the sensing target or sensing area of at least two ports;

The received signal digital inphase and quadrature (IQ) data of the first signal of at least two ports;

Equivalent channel matrices for at least two ports;

Channel parameters obtained based on equivalent channel matrices of at least two ports;

Equivalent channel correlation matrices for at least two ports;

Channel parameters calculated based on equivalent channel correlation matrices of at least two ports;

Parameter estimation results calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal;

A radar spectrum calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal.

Optionally, the above equivalent matrix can be understood as an equivalent channel matrix formed by splicing the ports of the sensing nodes after performing at least one precoding/beamforming. This matrix contains the impact of at least one precoding/beamforming. . The above equivalent channel correlation matrix can be understood as the correlation matrix of the antenna port domain of the equivalent channel matrix.

Optionally, based on the equivalent channel matrices of at least two ports, the obtained channel parameters may include at least one of the following: coherence time, coherence bandwidth, Doppler spread, delay spread, path loss, etc.

Optionally, based on the equivalent channel correlation matrices of at least two ports, the calculated channel parameters may include at least one of the following: the equivalent channel matrix or the rank of the correlation matrix, the singular value of the equivalent channel matrix/the eigenvalue of the correlation matrix , correlation matrix eigenvector, equivalent channel matrix condition number, equivalent channel matrix singular value/correlation matrix eigenvalue expansion.

Optionally, the above parameter estimation results include the presence, quantity, speed, distance, angle, position coordinates of the perceived target, the amplitude and/or phase of the perceived target reflected signal, the Doppler frequency of the perceived target reflected signal, the perceived target RCS, the perceived target At least one measurement of the target quantity, or the mean and standard deviation/variance of multiple measurements.

Optionally, the radar spectrum includes a time delay spectrum, a Doppler spectrum, an angle spectrum, and a combined spectrum of any two or three of the above spectrums, such as a time delay-Doppler spectrum, an angle-Doppler spectrum, etc.

Optionally, the measurement quantities required for multi-port sensing beam measurement may include current sensing service sensing/synaesthesia integrated measurement quantities, or may be a subset of the current sensing service sensing/synaesthesia integrated measurement quantities.

Optionally, in some embodiments, the above-mentioned second parameter configuration information may also include multi-port sensing beam measurement report configuration. The multi-port sensing beam measurement report configuration may include reporting principles, such as periodic reporting or event triggering principles; measurement report formats, such as reporting measurement results/maximum number of measurement types, and measurement results of each reported measurement. The corresponding number of beams, etc.

Optionally, the multi-port sensing beam measurement report at least includes measurement results of sensing measurement quantities required for measurement.

Optionally, the above-mentioned second parameter configuration information may also include measurement events and related parameters (including measurement event definitions, event-related parameters, handover decision conditions, etc.), measurement IDs (ie, measurement identifiers, each measurement ID corresponds to a group of Predefined multi-port sensing beam measurement quantities and measurement configuration information, as well as a measurement report configuration).

Optionally, when the first device is a sensing node, the method further includes:

The first device performs sensing service based on the first beam information.

In this embodiment of the present application, the first device can perform the sensing service based on the above third parameter configuration information, and send the sensing result to the sensing demander. It should be noted that multiple sensing beams on a single port can be implemented through time division multiplexing or frequency division multiplexing. The parameter configuration information of the second signal (the second signal used to perform sensing services) in the above third parameter configuration information may be the same as the first parameter configuration information and the first parameter configuration information in the beam measurement process. The signal parameter configuration information is the same or different. The parameter configuration information of the first signal may include time domain configuration information, frequency domain configuration information, orthogonal mode configuration information, etc. That is, the parameter configuration information of the first signal may include at least part of the parameter configuration information in the first parameter configuration information and /or at least part of the parameter configuration information in the second parameter configuration information.

Optionally, in some embodiments, the method further includes:

The first device obtains a second measurement result by performing a sensing service based on the first beam information, and the second measurement result includes a sensing measurement amount;

The first device performs sensing beam detection based on the second measurement result;

The first device performs the first operation when the result of sensing beam detection satisfies the judgment condition of sensing beam failure;

Wherein, the first operation includes at least one of the following:

Select at least one beam from the historical scanning beams as a new sensing beam to replace the failed beam;

If there is no beam that satisfies the sensing condition in the historical scanning beam and/or there is no beam that satisfies the sensing condition, re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Re-select ports, or re-map ports to physical antennas or sub-arrays and re-determine at least one of the first parameter configuration information and the second parameter configuration information;

The first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing sensing services.

In the embodiment of this application, due to changes in the sensing target/area status or the environment in which the sensing service is located, some or all of the original first beam set no longer belong to the best sensing beams, and the sensing beams need to be restored and re-established. The first beam set is determined based on the above-described first operation. Therefore, the embodiments of the present application can further improve the sensing performance.

It should be understood that since at least one of the first parameter configuration information and the second parameter configuration information is re-determined, it is necessary to re-perform sensing beam scanning based on the re-determined first parameter configuration information and the second parameter configuration information to re-determine the third parameter configuration information. A collection of beams.

Optionally, the beam used in the above sensing beam detection is at least one beam of at least one port in the first beam set. For example, the first sensing node or the sensing function network element may perform sensing beam detection based on the measurement value of the sensing measurement quantity of the sensing service.

Optionally, the judgment conditions for sensing beam failure include:

The measurement value of at least one perceptual measurement quantity in the first beam set is lower than the third preset threshold within the second preset time period, or is lower than the third preset threshold within the second preset time period. The number of times is greater than the third preset number of times.

In order to better understand this application, some examples will be described in detail below.

In some embodiments, high-precision identification and positioning of perception targets can be achieved based on the perception processing method provided by this application. As shown in Figure 3, assuming that the terminal uses a fixed beam to send the first signal, the base station performs beam scanning and beam measurement, Identify and locate a vehicle. The identification requires the base station to identify the target vehicle from multiple closely spaced vehicles, while positioning can be achieved through target angle measurement and ranging. The sensing function network element first preliminarily determines the approximate range of the beam scanning based on the historical prior information of the sensing target in the sensing request, such as the historical location information of the sensing target or the general area where the sensing target is located. The sensing function network element thus determines the parameter configuration information of beam scanning and beam measurement, and instructs the base station to use 6 ports (B1-B6) as shown in Figure 3 for beam scanning and measurement (in this example, it is assumed that each port is mapped to 8 Physical antenna array elements, including antennas with different polarizations), and explicitly and/or implicitly indicate the number of scanning beams for each port, the precoding/beam forming vector used for each beam scanning, and other information, and indicate the beam measurement of each port. The perceptual measurement quantity that needs to be measured during the process. Based on multi-port sensing beam scanning and measurement, the base station obtains the optimal sensing beam set of the 6 ports in Figure 3. Among them, the optimal sensing beam sets of different ports can be different, such as port B1 and port B2 in Figure 3.

In some embodiments, trajectory tracking can be implemented based on the perception processing method provided by this application. When the volume of the perceived target is small, high-precision trajectory perception of the target is very necessary. Figure 4 shows a schematic diagram of the base station and terminal tracking the trajectory of the UAV target. It is assumed that the base station sends a first signal, the terminal receives and feeds back the sensing result, or the terminal feeds back the measurement quantity, and the base station or the first device calculates the sensing result. During the beam management process, both the base station and the terminal perform beam scanning. If the beam measurement is performed at the terminal, the base station may need to inform the terminal of its own parameter configuration information, including the parameter configuration information of the first signal and the precoding/beamforming matrix of the six ports (B1-B6) of the base station shown in Figure 4. , the mapping relationship between the precoding/beamforming vectors of the 6 ports and the IQ data of the first signal received signal, the number of scanning beams, and the physical antenna information mapped during beam scanning of the 6 ports are informed to the terminal.

It should be noted that the first signal type used for beam scanning and beam measurement, and their parameter configuration information, may be different from the first signal type and parameter configuration information used for sensing services. During the beam scanning and beam measurement process, it may not be possible to obtain a priori information about the approximate area of the UAV. From the perspective of saving sensing resource overhead, beam scanning can be performed based on NR's SSB and/or CSI-RS signals. After obtaining the best sensing beam set, the best sensing beam set is then used to perform high-precision sensing based on other first signals. The other first signals may occupy more resources in the time-frequency domain. The antenna ports used for beam scanning and beam measurement can also be different from those used for sensing services. For example, the base station side only uses B2, B3, B5, and B6 for beam scanning and beam measurement. Due to the physical antenna subarray formation and array element layout mapped by the B1 and B4 ports, Consistent with B2 and B5, the sensing service process can use the B1-B6 ports, where the B1 and B4 ports reuse the precoding/beamforming matrices of the B2 and B5 ports.

It should be pointed out that when the UAV position moves significantly (for example, from position 1 to position 4 in the figure), some beams in the original optimal sensing beam set may not meet the conditions for being the optimal sensing beam. In this case, it is necessary to perform Beam recovery.

In some embodiments, the perception processing method provided based on this application can be used for perception area environment reconstruction/object imaging. The embodiment of this application is based on the multi-port sensing beam management process to complete the sensing service. This situation is suitable for scenes where the sensing area is large and the state of the sensing area is not easy to change in a short period of time, such as three-dimensional reconstruction of the environment and object imaging. It should be pointed out that the number of base stations and terminals participating in sensing can be more than one. When performing sensing services, the base station may send the first signal during beam scanning and the terminal receives it; or the terminal may send the first signal during beam scanning and the base station receives it. In the sensing request, the sensing result calculation node (for example, the sensing function network element) needs to obtain information such as the location of the base station, the terminal, and the orientation of the antenna panel. Based on multi-port beam measurement, the sensing function network element can obtain the departure angle (including departure azimuth angle and departure pitch angle), arrival angle (including arrival azimuth angle and arrival pitch angle), delay, complex amplitude and other information, and further obtain environment reconstruction/object imaging results. It needs to be pointed out that The computing node may also be a certain base station that participates in sensing. Depending on the computing node, the specific interaction information will not be described again here with reference to the above embodiments.

In some embodiments, the perception processing method provided based on this application can be used to implement perception-assisted communication. For example, if the perceptual measurement quantity of the beam measurement includes communication-related measurement quantities such as the first signal received power, the optimal communication beam pair of the base station and the terminal can also be obtained at the same time. Based on the multi-port sensing beam management, the main reflectors in the environment can be located. Combining the location information of base stations and terminals operating in the same area and operating in the sub-6GHz frequency band, the departure angle (including departure azimuth angle and departure pitch angle) and arrival angle (including departure angle) of the reflection path of the sensing target relative to the base station and terminal can be obtained Arrival azimuth angle and arrival pitch angle), time delay, complex amplitude and other information to assist in channel estimation and channel prediction. If the sensing target itself is also a communicating terminal, the positioning results can be sent to the base station communicating with the terminal to assist it in communication beam management and achieve optimal communication beam alignment with lower resource overhead than traditional beam management. ,renew.

Referring to Figure 5, the embodiment of the present application also provides a perception processing method. As shown in Figure 5, the perception processing method includes:

Step 501: The target sensing node receives first beam information from the computing node, where the first beam information includes beam information of at least some beams in the first beam set determined by the computing node based on the first measurement result of multi-port sensing beam measurement. ;

Step 502: The target sensing node performs sensing service based on the first beam information;

Optionally, the first beam information satisfies at least one of the following:

Optionally, in the case where the target sensing node is the first sensing node, the method further includes any of the following:

The target sensing node performs a first beam scanning operation on N ports. The first beam scanning operation is used to send the first signal, and N is an integer greater than 1;

The target sensing node uses at least one port to send the first signal.

Optionally, before the target sensing node receives the first beam information from the computing node, the method includes:

The target sensing node sends second information to the computing node, where the second information is used to determine the first measurement result.

Optionally, the second information satisfies at least one of the following:

Wherein, the first beam scanning operation is used to send the first signal, and N is an integer greater than 1.

Optionally, in the case where the target sensing node is a second sensing node, the method further includes any of the following:

The target sensing node performs a second beam scanning operation on M ports. The second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The target sensing node receives the first signal using at least one port.

The target sensing node sends first information to the computing node, where the first information is used to determine the first measurement result.

Optionally, the first information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first information includes at least one of the following : parameter configuration information of the first signal, received signal IQ data of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, received signal IQ data of the first signal and the The mapping relationship between the precoding vectors of the N ports, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the N ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the N ports The mapping relationship between the precoding vector, the mapping relationship between the equivalent channel matrix and the beamforming vectors of the N ports, and the equivalent channel correlation matrix eigenvector;

When the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, so The precoding matrices of the M ports, the beamforming matrices of the M ports, the mapping relationship between the received signal IQ data of the first signal and the precoding vectors of the M ports, the received signal IQ data of the first signal The mapping relationship with the beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the M ports, the equivalent channel matrix and the beams of the M ports The mapping relationship of the shaping vector and the equivalent channel correlation matrix eigenvector;

Wherein, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1.

Optionally, the method also includes:

The target sensing node sends target sensing capability information of the target sensing node to the computing node, and the target sensing capability information is used to determine the first parameter configuration information, the second parameter configuration information, and the third parameter configuration information, wherein , the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing synesthesia services.

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Port identification of at least two ports used for beam measurements;

Physical antenna information for at least two ports used for beam measurements;

Optionally, the method also includes:

The target sensing node obtains a second measurement result by performing a sensing service based on the first beam information, and the second measurement result includes a sensing measurement quantity;

The target sensing node performs sensing beam detection based on the second measurement result;

The target sensing node performs the first operation when the result of sensing beam detection meets the judgment condition of sensing beam failure;

Wherein, the first operation includes at least one of the following:

Wherein, the first parameter configuration information is used for multi-port sensing beam scanning, and the second parameter configuration information is used for multi-port sensing beam measurement.

Optionally, the judgment conditions for sensing beam failure include:

For the perception processing method provided by the embodiments of the present application, the execution subject may be a perception processing device. In the embodiment of the present application, the perception processing device executing the perception processing method is taken as an example to illustrate the perception processing device provided by the embodiment of the present application.

Referring to Figure 6, the embodiment of the present application also provides a perception processing device, which is applied to the first device. As shown in Figure 6, the perception processing device 600 includes:

The first determination module 601 is used to determine the first measurement result based on multi-port sensing beam measurement;

The second determination module 602 is configured to determine a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies the sensing condition.

Optionally, the perception processing device 600 further includes:

A first sending module configured to send first beam information to the second device, where the first beam information includes beam information of at least some beams in the first beam set;

Optionally, the first beam information satisfies at least one of the following:

The first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least When one port receives the first signal, the first beam information includes beam information of the transmission beam of the first sensing node in the first beam set;

Optionally, when the first device is a first sensing node, the sensing processing device 600 further includes a first execution module, configured to perform any of the following:

Perform a first beam scanning operation on N ports, the first beam scanning operation is used to send the first signal, and N is an integer greater than 1;

sending the first signal using at least one port;

Wherein, the first signal is used for the multi-port sensing beam measurement.

Optionally, the first determination module 601 includes:

A receiving unit, configured to receive the first information from the sensing function network element or the second sensing node;

Determining unit, configured to determine the first measurement result according to the first information.

Optionally, when the first device is a second sensing node, the sensing processing device 600 further includes a first execution module, configured to perform any of the following:

Perform a second beam scanning operation on M ports, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

using at least one port to receive the first signal;

Wherein, the first signal is used for the multi-port sensing beam measurement.

Optionally, the first determination module 601 includes:

A receiving unit, configured to receive the second information from the sensing function network element or the first sensing node, the first sensing node being the sending node of the first signal;

Determining unit, configured to determine the first measurement result according to the second information.

Optionally, when the first device is a sensing function network element, the first determination module 601 includes:

A receiving unit, configured to receive second information from the first sensing node and receive first information from the second sensing node;

a determining unit configured to determine the first measurement result according to the first information and the second information;

Optionally, the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information includes at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports , the N ports The beamforming matrix, the mapping relationship between the precoding vectors of the N ports and the received signal IQ data of the first signal, the mapping relationship between the beamforming vectors of the N ports and the received signal IQ data of the first signal , the number of scanning beams, the beam scanning time interval, the physical antenna information mapped when the N ports perform beam scanning;

Optionally, the first information satisfies at least one of the following:

Optionally, the sensing conditions include at least one of the following:

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The first measured value has the largest number of times at the fourth preset number of times;

Optionally, the first determination module 601 is also configured to determine the first parameter configuration information, the second parameter configuration information and the third parameter configuration information according to the target sensing capability information of the sensing node when a sensing request is received, The first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing synesthesia services.

Perceived service quality QoS or synaesthesia integrated QoS;

perceived target type;

The physical range within which at least one sensing target is located;

The physical range within which at least one sensing area is located;

Historical prior information on at least one perceptual target;

Historical prior information on at least one perceptual area;

Sense the status information of the node.

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Port identification of at least two ports used for beam measurements;

Physical antenna information for at least two ports used for beam measurements;

Received strength or received signal strength indication of reflected signals from sensing targets or sensing areas on at least two ports;

The received signal-to-noise ratio SNR or the signal-to-interference-plus-noise ratio SINR of the reflected signal from the sensing target or sensing area of at least two ports;

Received signal digital inline and quadrature IQ data for the first signal of at least two ports;

Equivalent channel matrices for at least two ports;

Equivalent channel correlation matrices for at least two ports;

Optionally, when the first device is a first sensing node, the sensing processing device 600 further includes:

A first receiving module configured to receive the target sensing capability information of the second sensing node from the second sensing node;

Optionally, when the first device is a sensing node, the sensing processing device 600 further includes:

A first execution module, configured to execute sensing services based on the first beam information.

Optionally, the perception processing device 600 further includes:

A first acquisition module, configured to acquire a second measurement result by performing a sensing service based on the first beam information, where the second measurement result includes a sensing measurement quantity;

A first detection module, configured to perform sensing beam detection according to the second measurement result;

The first execution module is configured to perform the first operation when the result of sensing beam detection meets the judgment condition of sensing beam failure;

Wherein, the first operation includes at least one of the following:

Referring to Figure 7, the embodiment of the present application also provides a perception processing device, which is applied to the target sensing node. As shown in Figure 7, the perception processing device 700 includes:

The second receiving module 701 is configured to receive first beam information from a computing node, where the first beam information includes at least part of the beams in the first beam set determined by the computing node based on the first measurement result of multi-port sensing beam measurement. Beam information;

The second execution module 702 is configured to execute sensing services based on the first beam information;

Optionally, the first beam information satisfies at least one of the following:

Optionally, in the case where the target sensing node is the first sensing node, the second execution module 702 is also configured to perform any of the following:

The first signal is sent using at least one port.

Optionally, the perception processing device 700 further includes:

The second sending module is configured to send second information to the computing node, where the second information is used to determine the first measurement result.

Optionally, the second information satisfies at least one of the following:

Optionally, when the target sensing node is a second sensing node, the second execution module 702 is also configured to perform any of the following:

The first signal is received using at least one port.

Optionally, the perception processing device 700 further includes:

The second sending module is configured to send first information to the computing node, where the first information is used to determine the first measurement result.

Optionally, the first information satisfies at least one of the following:

Optionally, the perception processing device 700 further includes:

The second sending module is configured to send the target sensing capability information of the target sensing node to the computing node, where the target sensing capability information is used to determine the first parameter configuration information, the second parameter configuration information, and the third parameter configuration information. , wherein the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing synesthesia services.

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Port identification of at least two ports used for beam measurements;

Physical antenna information for at least two ports used for beam measurements;

Optionally, the perception processing device 700 further includes:

A second acquisition module, configured to acquire a second measurement result by performing a sensing service based on the first beam information, where the second measurement result includes a sensing measurement quantity;

a second detection module, configured to perform sensing beam detection according to the second measurement result;

The second execution module is also configured to perform the first operation when the result of the sensing beam detection meets the judgment condition of sensing beam failure;

Wherein, the first operation includes at least one of the following:

Optionally, the judgment conditions for sensing beam failure include:

The perception processing device in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or may be a component in the electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, terminals may include but are not limited to the types of terminals 11 listed above, and other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., which are not specifically limited in the embodiment of this application.

The perception processing device provided by the embodiments of the present application can implement each process implemented by the method embodiments in Figures 2 to 5, and achieve the same technical effect. To avoid duplication, details will not be described here.

Optionally, as shown in Figure 8, this embodiment of the present application also provides a communication device 800, which includes a processor 801 and a memory 802. The memory 802 stores programs or instructions that can be run on the processor 801. When the program or instruction is executed by the processor 801, each step of the above-mentioned perception processing method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, the details will not be described here.

An embodiment of the present application also provides a terminal, including a processor and a communication interface. When the terminal is a first device, the processor is configured to determine a first measurement result based on multi-port cognitive beam measurement; based on the The first measurement result determines a first beam set, the first beam set including at least one beam that satisfies the sensing condition;

This terminal embodiment corresponds to the above-mentioned first device-side method embodiment or sensing node-side method embodiment. Each implementation process and implementation manner of the above-mentioned method embodiment can be applied to this terminal embodiment, and can achieve the same technical effect. . Specifically, FIG. 9 is a schematic diagram of the hardware structure of a terminal that implements an embodiment of the present application.

The terminal 900 includes but is not limited to: a radio frequency unit 901, a network module 902, an audio output unit 903, an input unit 904, a sensor 905, a display unit 906, a user input unit 907, an interface unit 908, a memory 909, a processor 910, etc. At least some parts.

Those skilled in the art can understand that the terminal 900 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 910 through a power management system, thereby managing charging, discharging, and power consumption through the power management system. Management and other functions. The terminal structure shown in FIG. 9 does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or may combine certain components, or arrange different components, which will not be described again here.

It should be understood that in the embodiment of the present application, the input unit 904 may include a graphics processing unit (Graphics Processing Unit, GPU) 9041 and a microphone 9042. The graphics processor 9041 is responsible for the image capture device (GPU) in the video capture mode or the image capture mode. Process the image data of still pictures or videos obtained by cameras (such as cameras). The display unit 906 may include a display panel 9061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 907 includes a touch panel 9071 and at least one of other input devices 9072 . Touch panel 9071, also known as touch screen. The touch panel 9071 may include two parts: a touch detection device and a touch controller. Other input devices 9072 may include but are not limited to physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

In this embodiment of the present application, after receiving downlink data from the network side device, the radio frequency unit 901 can transmit it to the processor 910 for processing; in addition, the radio frequency unit 901 can send uplink data to the network side device. Generally, the radio frequency unit 901 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

Memory 909 may be used to store software programs or instructions as well as various data. The memory 909 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 for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 909 may include volatile memory or nonvolatile memory, or memory 909 may include both volatile and nonvolatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. 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), Synch link dynamic random access memory (Synch link DRAM, SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). Memory 909 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 910 may include one or more processing units; optionally, the processor 910 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 910.

The processor 910 determines a first measurement result based on multi-port sensing beam measurement; determines a first beam set based on the first measurement result, and the first beam set includes at least one beam that satisfies the sensing condition.

The embodiment of the present application determines a first measurement result based on multi-port sensing beam measurement, and determines a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies sensing conditions. Since sensing measurements are performed on multiple ports, the number of ports for beam management is increased, thus fully utilizing the array aperture to achieve high-precision/super-resolution sensing. Therefore, the embodiments of the present application improve the accuracy of sensing, improve the sensing SNR, and overcome the problem of limited high-frequency sensing coverage.

An embodiment of the present application also provides a network side device, including a processor and a communication interface. When the network side device is a first device, the processor is configured to determine a first measurement result based on multi-port sensing beam measurement. ; Determine a first beam set based on the first measurement result, the first beam set including at least one beam that satisfies the sensing condition;

This network-side device embodiment corresponds to the above-mentioned first device-side method embodiment or sensing node-side method embodiment. Each implementation process and implementation manner of the above-mentioned method embodiment can be applied to this network-side device embodiment, and can achieve Same technical effect.

Specifically, the embodiment of the present application also provides a network side device. As shown in Figure 10, the network side device 1000 includes: an antenna 1001, a radio frequency device 1002, a baseband device 1003, a processor 1004 and a memory 1005. Antenna 1001 is connected to radio frequency device 1002. In the uplink direction, the radio frequency device 1002 receives information through the antenna 1001 and sends the received information to the baseband device 1003 for processing. In the downlink direction, the baseband device 1003 processes the information to be sent and sends it to the radio frequency device 1002. The radio frequency device 1002 processes the received information and sends it out through the antenna 1001.

The method performed by the network side device in the above embodiment can be implemented in the baseband device 1003, which includes a baseband processor.

The baseband device 1003 may include, for example, at least one baseband board on which multiple chips are disposed, as shown in FIG. Program to perform the network device operations shown in the above method embodiments.

The network side device may also include a network interface 1006, which is, for example, a common public radio interface (CPRI).

Specifically, the network side device 1000 in the embodiment of the present application also includes: instructions or programs stored in the memory 1005 and executable on the processor 1004. The processor 1004 calls the instructions or programs in the memory 1005 to execute Figure 6 or Figure 7 The execution methods of each module are shown and achieve the same technical effect. To avoid repetition, they will not be described in detail here.

Specifically, the embodiment of the present application also provides a network side device. As shown in Figure 11, the network side device 1100 includes: a processor 1101, a network interface 1102 and a memory 1103. Among them, the network interface 1102 is, for example, a common public radio interface (CPRI).

Specifically, the network side device 1100 in the embodiment of the present application also includes: instructions or programs stored in the memory 1103 and executable on the processor 1101. The processor 1101 calls the instructions or programs in the memory 1103 to execute 6 or the steps shown in FIG. 7 It shows the execution method of each module and achieves the same technical effect. To avoid duplication, it will not be repeated here.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above embodiments of the perception processing method is implemented and the same can be achieved. The technical effects will not be repeated here to avoid repetition.

Wherein, the processor is the processor in the terminal described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An 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. The processor is used to run programs or instructions to implement the above embodiments of the perception processing method. Each process can achieve the same technical effect. To avoid duplication, it will not be described again here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-chip or system-on-chip, etc.

Embodiments of the present application further provide a computer program/program product. The computer program/program product is stored in a storage medium. The computer program/program product is executed by at least one processor to implement the above embodiments of the perception processing method. Each process can achieve the same technical effect. To avoid repetition, we will not go into details here.

Embodiments of the present application also provide a communication system, including: a terminal and a network side device. The terminal is used to perform various processes of the method embodiments in Figures 2 to 5. The network side device is used to perform the following: Each process of each method embodiment in Figures 2 to 5 can achieve the same technical effect. To avoid repetition, it will not be described again here.

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

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can It can be implemented with the help of software plus the necessary common hardware platform. Of course, it can also be implemented through hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to related technologies. The computer software product is stored in a storage medium (such as ROM/RAM, disk, CD), including several instructions to cause a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims

A method of perceptual processing that includes:

The first device determines a first measurement result based on multi-port sensing beam measurement;

The first device determines a first beam set based on the first measurement result, and the first beam set includes at least one beam that satisfies the sensing condition.
The method of claim 1, further comprising:

The first device sends first beam information to the second device, where the first beam information includes beam information of at least some beams in the first beam set;

Wherein, the first device is one of a first sensing node, a second sensing node and a sensing function network element, and the second device includes any one of the first sensing node, the second sensing node and the sensing function network element. At least one device other than the first device, the first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.
The method according to claim 2, wherein the first beam information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first beam information includes the first beam Beam information of the transmission beam of the first sensing node in the set;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes all the information in the first beam set. Beam information of the receiving beam of the second sensing node;

In the case where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports, the first beam information includes the first beam Beam information of the transmitting beam of the first sensing node in the set, and/or beam information of the receiving beam of the second sensing node in the first beam set;

Wherein, the first beam scanning operation is used to send a first signal, the second beam scanning operation is used to receive a first signal, and N and M are both integers greater than 1.
The method according to claim 1, wherein when the first device is a first sensing node, the method further includes any of the following:

The first device performs a first beam scanning operation on N ports, the first beam scanning operation is used to send a first signal, and N is an integer greater than 1;

The first device sends the first signal using at least one port;

Wherein, the first signal is used for the multi-port sensing beam measurement.
The method of claim 4, wherein the first device determining the first measurement result of multi-port sensing beam measurement includes:

The first device receives first information from a sensing function network element or a second sensing node;

The first device determines the first measurement result based on the first information.
The method according to claim 1, wherein when the first device is a second sensing node, the method further includes any of the following:

The first device performs a second beam scanning operation on M ports, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The first device receives the first signal using at least one port;

Wherein, the first signal is used for the multi-port sensing beam measurement.
The method of claim 6, wherein the first device determining the first measurement result based on multi-port sensing beam measurement includes:

The first device receives the second information from a sensing function network element or a first sensing node, and the first sensing node is the sending node of the first signal;

The first device determines the first measurement result based on the second information.
The method according to claim 1, wherein when the first device is a sensing function network element, determining the first measurement result of the first measurement by the first device includes:

The first device receives second information from a first sensing node and receives first information from a second sensing node;

The first device determines the first measurement result based on the first information and the second information;

Wherein, the first sensing node is a sending node of the first signal used for the first measurement, and the second sensing node is a receiving node of the first signal.
The method according to claim 7 or 8, wherein the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information includes at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports , the beamforming matrix of the N ports, the mapping relationship between the precoding vectors of the N ports and the received signal IQ data of the first signal, the beamforming vector of the N ports and the reception of the first signal The mapping relationship of signal IQ data, the number of scanning beams, the beam scanning time interval, and the physical antenna information mapped when the N ports perform beam scanning;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the second information includes at least one of the following: Parameter configuration information of a signal, the first sensing node is used to send the precoding matrix of the at least one port of the first signal, and the first sensing node is used to send the beam of the at least one port of the first signal. A shaping matrix, and physical antenna information mapped by the at least one port used by the first sensing node to send the first signal;

Wherein, the first beam scanning operation is used to send the first signal, the second beam scanning operation is used to receive the first signal, and N and M are both integers greater than 1.
The method according to claim 5 or 8, wherein the first information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first information includes at least one of the following : parameter configuration information of the first signal, received signal IQ data of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, received signal IQ data of the first signal and the Mapping relationship of precoding vectors of N ports system, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the N ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the N ports, equivalent The mapping relationship between the channel matrix and the beamforming vectors of the N ports, and the equivalent channel correlation matrix eigenvectors;

When the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, so The precoding matrices of the M ports, the beamforming matrices of the M ports, the mapping relationship between the received signal IQ data of the first signal and the precoding vectors of the M ports, the received signal IQ data of the first signal The mapping relationship with the beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the M ports, the equivalent channel matrix and the beams of the M ports The mapping relationship of the shaping vector and the equivalent channel correlation matrix eigenvector;

Wherein, the second beam scanning operation is used to receive the first signal, and M and N are integers both greater than 1.
The method according to claim 1, wherein the sensing condition includes at least one of the following:

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first preset threshold within the first preset time period, or is higher than the first preset threshold within the first preset time period. The number of times of a preset threshold is greater than the first preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the second preset threshold within the first preset time period, or is higher than the second preset threshold within the first preset time period. When the second preset threshold number is greater than the second preset number of times, the at least two beams include beams of at least two ports;

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The number of times of the value is greater than the third preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The number of times of the first measurement value is greater than the fourth preset number of times;

Wherein, the at least two beams include beams of at least two ports, and the first measurement value is a measurement value of a sensing measurement quantity corresponding to a historically determined first beam set.
The method according to any one of claims 1 to 11, wherein before the first device determines the first measurement result based on multi-port sensing beam measurement, the method further includes:

When the first device receives the sensing request, it determines the first parameter configuration information, the second parameter configuration information and the third parameter configuration information according to the target sensing capability information of the sensing node, wherein the first parameter configuration information is For multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing synesthesia services.
The method according to claim 12, wherein the sensing request includes at least one of the following information:

Perceived service quality QoS or synaesthesia integrated QoS;

perceived target type;

The physical range within which at least one sensing target is located;

The physical range within which at least one sensing area is located;

Historical prior information on at least one perceptual target;

Historical prior information on at least one perceptual area;

Sense the status information of the node.
The method according to claim 12, wherein the target sensing capability information includes multi-port beamforming capability information and other sensing capability information except the multi-port beamforming capability information;

Wherein, the multi-port beamforming capability information includes at least one of the following: the maximum number of ports supported for sensing; the beamforming type that each port can support; the quantization accuracy of the amplitude adjustment of the beamforming of each port; The quantization accuracy of the phase adjustment of the port beamforming; the physical antenna information mapped to each port; the minimum and/or average delay of the precoding weight switching of each port; the minimum and/or average delay of the beamforming weight switching of each port ; Minimum and/or average delay for precoding to take effect on each port; Minimum and/or average delay for beamforming to take effect on each port; When at least one port uses analog beamforming, the corresponding 3dB beam width of the port; At least When a port uses analog beamforming, the minimum beam scanning angle interval of the port; when at least one port uses analog beamforming, the maximum number of beams on the port; when at least one port uses analog beamforming, Port beam scan maximum angular range.
The method according to claim 12, wherein the first parameter configuration information includes at least one of the following:

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

Beam scanning precoding vectors or beam scanning precoding matrices of at least two ports of the sensing node;

beam scanning beamforming vectors or beam scanning beamforming matrices of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

sensing the time domain configuration information of the first signal of at least two ports of the node;

Frequency domain configuration information of the first signal of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Physical antenna indication information for at least one port of the sensing node to be used for beam scanning;

Wherein, the first signal is used for the first measurement, and the beam scanning rule includes at least one of the following: only the first sensing node performs multi-port sensing beam scanning, only the second sensing node performs multi-port sensing beam scanning, and Both the first sensing node and the second sensing node perform multi-port sensing beam scanning, the first sensing node is a sending node of the first signal, and the second sensing node is a receiving node of the first signal.
The method according to claim 12, wherein the second parameter configuration information includes at least one of the following:

The sensing measurement quantity of at least one port used for beam measurement;

Port identification of at least two ports used for beam measurements;

Time domain configuration information of the first signal of at least two ports used for beam measurement;

Frequency domain configuration information of the first signal of at least two ports used for beam measurement;

Physical antenna information for at least two ports used for beam measurements;

In the case where the first signal is sent through at least two ports, orthogonal configuration information of the first signal at each port;

Third indication information, the third indication information is used to indicate the sensing condition;

Fourth indication information, the fourth indication information is used to indicate the judgment condition for failure of the sensing beam corresponding to the first beam set.
The method of claim 16, wherein the perceptual measurement quantity includes at least one of the following:

Received strength or received signal strength indication of reflected signals from sensing targets or sensing areas on at least two ports;

An indication of the reception quality of signals reflected from the sensing target or sensing area on at least two ports;

The received signal-to-noise ratio SNR or the signal-to-interference-plus-noise ratio SINR of the reflected signal from the sensing target or sensing area of at least two ports;

Received signal digital inline and quadrature IQ data for the first signal of at least two ports;

Equivalent channel matrices for at least two ports;

Channel parameters obtained based on equivalent channel matrices of at least two ports;

Equivalent channel correlation matrices for at least two ports;

Channel parameters calculated based on equivalent channel correlation matrices of at least two ports;

Parameter estimation results calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal;

A radar spectrum calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal.
The method according to claim 12, wherein when the first device is a first sensing node, the method further includes:

The first device receives the target sensing capability information of the second sensing node from the second sensing node;

Wherein, the first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.
The method according to claim 2, wherein when the first device is a sensing node, the method further includes:

The first device performs sensing service based on the first beam information.
The method of claim 2, further comprising:

The first device obtains a second measurement result by performing a sensing service based on the first beam information, and the second measurement result includes a sensing measurement amount;

The first device performs sensing beam detection based on the second measurement result;

The first device performs the first operation when the result of sensing beam detection satisfies the judgment condition of sensing beam failure;

Wherein, the first operation includes at least one of the following:

Select at least one beam from the historical scanning beams as a new sensing beam to replace the failed beam;

If there is no beam that satisfies the sensing condition in the historical scanning beam and/or there is no beam that satisfies the sensing condition, re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Re-select ports, or re-map ports to physical antennas or sub-arrays and re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Wherein, the first parameter configuration information is used for multi-port sensing beam scanning, and the second parameter configuration information is used for multi-port sensing beam measurement.
The method according to claim 20, wherein the judgment condition for sensing beam failure includes:

The measurement value of at least one perceptual measurement quantity in the first beam set is lower than the third preset threshold within the second preset time period, or is lower than the third preset threshold within the second preset time period. The number of times is greater than the third preset number of times.
A method of perceptual processing that includes:

The target sensing node receives first beam information from the computing node, where the first beam information includes beam information of at least some beams in the first beam set determined by the computing node based on a first measurement result of multi-port sensing beam measurement;

The target sensing node performs sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is the third sensing node. A signal receiving node.
The method of claim 22, wherein the first beam information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first beam information includes the first beam Beam information of the transmission beam of the first sensing node in the set;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes all the information in the first beam set. Beam information of the receiving beam of the second sensing node;

In the case where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports, the first beam information includes the first beam Beam information of the transmitting beam of the first sensing node in the set, and/or beam information of the receiving beam of the second sensing node in the first beam set;

Wherein, the first beam scanning operation is used to send a first signal, the second beam scanning operation is used to receive a first signal, and N and M are both integers greater than 1.
The method according to claim 22, wherein when the target sensing node is a first sensing node, the method further includes any of the following:

The target sensing node performs a first beam scanning operation on N ports. The first beam scanning operation is used to send the first signal, and N is an integer greater than 1;

The target sensing node uses at least one port to send the first signal.
The method of claim 24, wherein before the target sensing node receives the first beam information from the computing node, the method includes:

The target sensing node sends second information to the computing node, where the second information is used to determine the first measurement result.
The method of claim 25, wherein the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information includes at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports , the beamforming matrix of the N ports, the mapping relationship between the precoding vectors of the N ports and the received signal IQ data of the first signal, the beamforming vector of the N ports and the reception of the first signal The mapping relationship of signal IQ data, the number of scanning beams, the beam scanning time interval, and the physical antenna information mapped when the N ports perform beam scanning;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the second information includes at least one of the following: Parameter configuration information of a signal, the first sensing node is used to send the precoding matrix of the at least one port of the first signal, and the first sensing node is used to send the beam of the at least one port of the first signal. A shaping matrix, and physical antenna information mapped by the at least one port used by the first sensing node to send the first signal;

Wherein, the first beam scanning operation is used to send the first signal, and N is an integer greater than 1.
The method according to claim 22, wherein when the target sensing node is a second sensing node, the method further includes any of the following:

The target sensing node performs a second beam scanning operation on M ports. The second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The target sensing node receives the first signal using at least one port.
The method of claim 27, wherein before the target sensing node receives the first beam information from the computing node, the method includes:

The target sensing node sends first information to the computing node, where the first information is used to determine the first measurement result.
The method of claim 28, wherein the first information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first information includes at least one of the following : parameter configuration information of the first signal, received signal IQ data of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, received signal IQ data of the first signal and the The mapping relationship between the precoding vectors of the N ports, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the N ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the N ports The mapping relationship between the precoding vector, the mapping relationship between the equivalent channel matrix and the beamforming vectors of the N ports, and the equivalent channel correlation matrix eigenvector;

When the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, so The precoding matrices of the M ports, the beamforming matrices of the M ports, the mapping relationship between the received signal IQ data of the first signal and the precoding vectors of the M ports, the received signal IQ data of the first signal The mapping relationship with the beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the M ports, The mapping relationship between the equivalent channel matrix and the beamforming vectors of the M ports, and the equivalent channel correlation matrix eigenvectors;

Wherein, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1.
The method of claim 22, further comprising:

The target sensing node sends target sensing capability information of the target sensing node to the computing node, and the target sensing capability information is used to determine the first parameter configuration information, the second parameter configuration information, and the third parameter configuration information, wherein , the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing synesthesia services.
The method according to claim 30, wherein the target sensing capability information includes multi-port beamforming capability information and other sensing capability information except the multi-port beamforming capability information;

Wherein, the multi-port beamforming capability information includes at least one of the following: the maximum number of ports supported for sensing; the beamforming type that each port can support; the quantization accuracy of the amplitude adjustment of the beamforming of each port; The quantization accuracy of the phase adjustment of the port beamforming; the physical antenna information mapped to each port; the minimum and/or average delay of the precoding weight switching of each port; the minimum and/or average delay of the beamforming weight switching of each port ; Minimum and/or average delay for precoding to take effect on each port; Minimum and/or average delay for beamforming to take effect on each port; When at least one port uses analog beamforming, the corresponding 3dB beam width of the port; At least When a port uses analog beamforming, the minimum beam scanning angle interval of the port; when at least one port uses analog beamforming, the maximum number of beams on the port; when at least one port uses analog beamforming, Port beam scan maximum angular range.
The method according to claim 30, wherein the first parameter configuration information includes at least one of the following:

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

Beam scanning precoding vectors or beam scanning precoding matrices of at least two ports of the sensing node;

beam scanning beamforming vectors or beam scanning beamforming matrices of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

sensing the time domain configuration information of the first signal of at least two ports of the node;

Frequency domain configuration information of the first signal of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Physical antenna indication information for at least one port of the sensing node to be used for beam scanning;

Wherein, the first signal is used for the first measurement, and the beam scanning rule includes at least one of the following: only the first sensing node performs multi-port sensing beam scanning, only the second sensing node performs multi-port sensing beam scanning, and Both the first sensing node and the second sensing node perform multi-port sensing beam scanning, and the first sensing node is the first signal The sending node, the second sensing node is the receiving node of the first signal.
The method according to claim 30, wherein the second parameter configuration information includes at least one of the following:

The sensing measurement quantity of at least one port used for beam measurement;

Port identification of at least two ports used for beam measurements;

Time domain configuration information of the first signal of at least two ports used for beam measurement;

Frequency domain configuration information of the first signal of at least two ports used for beam measurement;

Physical antenna information for at least two ports used for beam measurements;

In the case where the first signal is sent through at least two ports, orthogonal configuration information of the first signal at each port;

Third indication information, the third indication information is used to indicate the sensing condition;

Fourth indication information, the fourth indication information is used to indicate the judgment condition for failure of the sensing beam corresponding to the first beam set.
The method of claim 22, further comprising:

The target sensing node obtains a second measurement result by performing a sensing service based on the first beam information, and the second measurement result includes a sensing measurement quantity;

The target sensing node performs sensing beam detection based on the second measurement result;

The target sensing node performs the first operation when the result of sensing beam detection meets the judgment condition of sensing beam failure;

Wherein, the first operation includes at least one of the following:

Select at least one beam from the historical scanning beams as a new sensing beam to replace the failed beam;

If there is no beam that satisfies the sensing condition in the historical scanning beam and/or there is no beam that satisfies the sensing condition, re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Re-select ports, or re-map ports to physical antennas or sub-arrays and re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Wherein, the first parameter configuration information is used for multi-port sensing beam scanning, and the second parameter configuration information is used for multi-port sensing beam measurement.
The method according to claim 34, wherein the judgment condition for sensing beam failure includes:

The measurement value of at least one perceptual measurement quantity in the first beam set is lower than the third preset threshold within the second preset time period, or is lower than the third preset threshold within the second preset time period. The number of times is greater than the third preset number of times.
A perception processing device, applied to a first device, including:

A first determination module, configured to determine a first measurement result based on multi-port sensing beam measurement;

A second determination module, configured to determine a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies the sensing condition.
A perception processing device, applied to target perception nodes, including:

A second receiving module configured to receive first beam information from a computing node, where the first beam information includes beams of at least part of the first beam set determined by the computing node based on a first measurement result of multi-port sensing beam measurement. information;

A second execution module, configured to execute sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal used for the multi-port sensing beam measurement, and the second sensing node is the third sensing node. A signal receiving node.
A terminal, including a processor and a memory, the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the implementation of any one of claims 1 to 35 is achieved. The steps of the perceptual processing method described above.
A network side device, including a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, any one of claims 1 to 35 is implemented. The steps of the perceptual processing method described in the item.
A readable storage medium on which a program or instructions are stored. When the program or instructions are executed by a processor, the steps of the perception processing method according to any one of claims 1 to 35 are implemented.