Measurement methods, communication devices, and computer-readable storage media.

Abstract

The invention relates to a method of recognition measurement, a communication device, and a computer-readable storage medium, relating to the field of communication engineering, capable of providing a distinct sparse recognition signal pattern, to reduce computational complexity while reducing the frequency domain resources occupied by recognition signals, thereby achieving efficient allocation of frequency domain resources and improving communication performance. This method comprises the following steps: determining M frequencies, where the sum of the phases corresponding to the frequencies among M frequencies modulo 2π equals 0; sending frequency information of M frequencies to a receiver; and sending recognition signals to the target object via M frequencies.

Description

Perception measurement method and device

[0001] This application claims priority to the Chinese patent application filed with the State Intellectual Property Office on November 9, 2023, with application number 202311503112.4 and application name “Perception Measurement Method and Device”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The embodiments of the present application relate to the field of communication technologies, and in particular to a perception measurement method and device. Background Art

[0003] Communication systems can use sensing signals to measure the surrounding environment and targets. In sensing applications, to ensure ranging accuracy, the larger the ranging range, the higher the density of sensing signals in the frequency domain. However, a higher density of sensing signals occupies more frequency domain resources, affecting communication performance.

[0004] Based on this, it is proposed that sparse sensing signals can be used for sensing measurement. The distribution of sparse sensing signals in the frequency domain can be determined according to the perceived ranging range and ranging resolution, so as to achieve efficient allocation of frequency domain resources while ensuring ranging accuracy and ranging resolution.

[0005] However, finding a sparse sensing signal distribution pattern that minimizes frequency domain resource overhead based on the perceived ranging range and ranging resolution is computationally complex. Especially when the sensing signal bandwidth is large, finding the optimal pattern is a non-deterministic polynomially difficult problem (NP-hard) with non-unique solutions, making it impossible to determine the optimal sparse sensing signal pattern.

[0006] Summary of the Invention

[0007] The present application provides a perception measurement method and device that can provide a clear sparse perception signal pattern, reduce the computational complexity while reducing the frequency domain resources occupied by the perception signal, achieve efficient allocation of frequency domain resources, and improve communication performance.

[0008] In a first aspect, the present application provides a perception measurement method that can be performed by a transmitting device. Unless otherwise specified, the "transmitting device" in this application can refer to the transmitting device itself, or a component in the transmitting device (such as a processor, chip, or chip system, etc.), or a logic module or software that can implement all or part of the functions of the transmitting device. The method includes: determining M frequency points; wherein the sum of the phases corresponding to multiple frequency points in the M frequency points is 0 modulo 2π; sending frequency information of the M frequency points to a receiving device; and sending a perception signal to the target object through the M frequency points.

[0009] Based on the first aspect, among the M frequency points determined by the transmitting device for sensing, the sum of the phases corresponding to multiple frequency points modulo 2π is 0, which can ensure that higher ranging resolution is achieved when ranging is not ambiguous. At the same time, the M frequency points can be non-uniformly distributed in the frequency domain, which can reduce the frequency domain resources occupied by the sensing signal and reduce the frequency domain resource overhead. In addition, the embodiment of the present application can provide a clear sparse sensing signal pattern (i.e., the distribution pattern of the M frequency points mentioned above), which can reduce the computational complexity on the basis of reducing the frequency domain resources occupied by the sensing signal, achieve efficient allocation of frequency domain resources, and improve communication performance.

[0010] Secondly, an embodiment of the present application provides a perception measurement method, which can be performed by a receiving device. Unless otherwise specified, the "receiving device" in this application can refer to the receiving device itself, or a component in the receiving device (such as a processor, chip, or chip system, etc.), or a logic module or software that can implement all or part of the functions of the receiving device. The method includes: receiving frequency information of M frequency points from a transmitting device; wherein the sum of the phases corresponding to multiple frequency points in the M frequency points is 0 modulo 2π; receiving perception signals through the M frequency points; and performing perception measurement based on the perception signal to obtain a perception measurement result.

[0011] Based on the second aspect, among the M frequency points used for perception by the receiving device, the sum of the phases corresponding to multiple frequency points modulo 2π is 0, which can ensure that higher ranging resolution is achieved when the ranging is not ambiguous. At the same time, the M frequency points can be non-uniformly distributed in the frequency domain, which can reduce the frequency domain resources occupied by the perception signal and reduce the frequency domain resource overhead. In addition, the embodiment of the present application can provide a clear sparse perception signal pattern (i.e., the distribution pattern of the M frequency points mentioned above), which can reduce the computational complexity on the basis of reducing the frequency domain resources occupied by the perception signal, achieve efficient allocation of frequency domain resources, and improve communication performance.

[0012] Based on the above-mentioned first and second aspects, in a possible design, the M frequency points include at least one group of frequency points, each group of frequency points in at least one group of frequency points includes multiple frequency points, and the sum of the phases corresponding to the frequency points in each group of frequency points is 0 modulo 2π.

[0013] Based on this possible design, at least one set of frequency points is provided such that the sum of the phases corresponding to the frequency points modulo 2π is 0, thereby providing a feasible solution for the selection of the frequency points.

[0014] Based on the first and second aspects above, in a possible design, the M frequency points include K groups of frequency points, and each of the K groups of frequency points includes 2 n+1 Frequency points, 2 n+1The sum of the phases corresponding to the frequency points modulo 2π is 0, K is greater than or equal to 1, and n is an integer.

[0015] Based on the first and second aspects above, in a possible design, among the multiple frequency points in the M frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order is π / 2 n , n is an integer.

[0016] Based on this possible design, since the phase difference between the phases corresponding to two adjacent frequency points is π / 2 n , the phases corresponding to the multiple frequency points can be added together to form a mutual cancellation effect, thereby achieving the purpose of achieving the best observation performance by selecting a small number of frequency resources, realizing efficient allocation of frequency domain resources, and improving communication performance.

[0017] Based on the first and second aspects above, in one possible design, the M frequency points include at least one group of frequency points, each group of frequency points in at least one group of frequency points includes multiple frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order in each group of frequency points is π / 2 n , n is an integer.

[0018] Based on this possible design, provide at least one set of frequencies that satisfy the phase difference between the phases of two adjacent frequency points in each set of frequencies is π / 2. n The frequency point provides a feasible solution for the frequency point selection.

[0019] Based on the first and second aspects above, in a possible design, the M frequency points include K groups of frequency points, and each of the K groups of frequency points includes 2 n+1 Frequency points, 2 n+1 The phase difference between the phases of two adjacent frequency points arranged in ascending order is π / 2 n , n is an integer.

[0020] Based on the above-mentioned first and second aspects, in one possible design, the phase corresponding to the frequency point is an integer multiple of 2πΔfΔτ, where Δf represents an integer multiple of the subcarrier spacing, and Δτ is determined based on the maximum frequency point and the minimum frequency point among the M frequency points.

[0021] Based on this possible design, the appropriate phase can be selected according to the above formula, and then the appropriate frequency point can be determined, providing a feasible solution for the selection of the frequency point.

[0022] Based on the first and second aspects above, in a possible design, the frequency point and the phase corresponding to the frequency point satisfy the following formula: f = (θ-φ) / 2πΔτ; where f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to the injective function; Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

[0023] Based on the first and second aspects above, in one possible design, the φ corresponding to the frequency points of the same group is the same, and the φ corresponding to the frequency points of different groups are different.

[0024] Based on the two possible designs above, the frequency point corresponding to the phase can be determined according to the above formula, providing a feasible solution for the selection of the frequency point.

[0025] Based on the above first and second aspects, in a possible design, the M frequency points include M / 2 groups of frequency points, each group of frequency points includes 2 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points in the 2 frequency points is π.

[0026] Based on the above-mentioned first and second aspects, in a possible design, the M frequency points include M / 4 groups of frequency points, each group of frequency points includes 4 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order among the 4 frequency points is π / 2.

[0027] Based on the above-mentioned first and second aspects, in a possible design, the M frequency points include M / 8 groups of frequency points, each group of frequency points includes 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order among the 8 frequency points is π / 4.

[0028] Based on the above three possible designs, three feasible solutions are provided for the selection of frequency points.

[0029] Based on the above first and second aspects, in a possible design, the frequency information of the frequency point includes the frequency value of the frequency point; or, the frequency information of the frequency point includes the index value of the frequency point.

[0030] In the third aspect, an embodiment of the present application provides a communication device, which can be applied to the transmitting device of the first aspect above to implement the functions performed by the transmitting device above. The communication device can be a transmitting device, or a chip or chip system or system on chip of the transmitting device, etc. The communication device can perform the functions performed by the transmitting device above through hardware, or can perform the corresponding software implementation through hardware. The hardware or software includes one or more modules corresponding to the above functions. For example, a transceiver module and a processing module. The transceiver module can independently complete the following transceiver operations, or cooperate with the processing module to complete the following transceiver operations; accordingly, the processing module can also independently complete the following processing operations, or cooperate with the transceiver module to complete the following processing operations, without limitation.

[0031] Exemplarily, a processing module is used to determine M frequency points; wherein the sum of the phases corresponding to multiple frequency points among the M frequency points modulo 2π is 0; a transceiver module is used to send frequency information of the M frequency points to a receiving device, and is also used to send a perception signal to a target object through the M frequency points.

[0032] Optionally, the transceiver module and processing module of the communication device in the third aspect can also perform the corresponding functions in the above-mentioned first aspect or any possible design of the first aspect. Please refer to the detailed description in the method example for details. The beneficial effects that can be achieved can also be referred to the above-mentioned related content.

[0033] In a fourth aspect, an embodiment of the present application provides a communication device, which can be applied to the receiving device of the second aspect above to implement the functions performed by the receiving device above. The communication device can be a receiving device, or a chip or chip system or system on chip of the receiving device, etc. The communication device can perform the functions performed by the receiving device above through hardware, or it can perform the corresponding software implementation through hardware. The hardware or software includes one or more modules corresponding to the above functions. For example, a transceiver module and a processing module. The transceiver module can independently complete the following transceiver operations, or it can cooperate with the processing module to complete the following transceiver operations; accordingly, the processing module can also independently complete the following processing operations, or it can cooperate with the transceiver module to complete the following processing operations, without limitation.

[0034] Exemplarily, the transceiver module is used to receive frequency information of M frequency points from a transmitting device; wherein the sum of the phases corresponding to multiple frequency points among the M frequency points modulo 2π is 0; the transceiver module is also used to receive perception signals through the M frequency points; the processing module is used to perform perception measurement based on the perception signal to obtain a perception measurement result.

[0035] Optionally, the transceiver module and processing module of the communication device in the fourth aspect can also perform the corresponding functions in the above-mentioned second aspect or any possible design of the second aspect. Please refer to the detailed description in the method example for details. The beneficial effects that can be achieved can also be found in the above-mentioned related content.

[0036] In a fifth aspect, an embodiment of the present application provides a communication device, which includes one or more processors; one or more processors are used to run computer programs or instructions, and when the one or more processors execute the computer instructions or instructions, the perception measurement method described in any one of the first to second aspects is executed.

[0037] In one possible design, the communication device further includes one or more memories, the one or more memories being coupled to one or more processors, and the one or more memories being used to store the above-mentioned computer programs or instructions. In one possible implementation, the memory is located outside the communication device. In another possible implementation, the memory is located within the communication device. In an embodiment of the present application, the processor and the memory may also be integrated into one device, that is, the processor and the memory may also be integrated together. In one possible implementation, the communication device further includes a transceiver, and the transceiver is used to receive information and / or send information.

[0038] In one possible design, the communication device further includes one or more communication interfaces, the one or more communication interfaces are coupled to one or more processors, and the one or more communication interfaces are used to communicate with other modules outside the communication device.

[0039] In a sixth aspect, an embodiment of the present application provides a communication device, which includes an interface circuit and a logic circuit; the interface circuit is used to input and / or output information; the logic circuit is used to execute the perception measurement method as described in either the first aspect or the second aspect, and process and / or generate information based on the information.

[0040] In the seventh aspect, an embodiment of the present application provides a computer-readable storage medium, which stores computer instructions or programs. When the computer instructions or programs are run on a computer, the perception measurement method as described in either the first aspect or the second aspect is executed.

[0041] In an eighth aspect, an embodiment of the present application provides a computer program product comprising computer instructions, which, when executed on a computer, enables the perception measurement method as described in either the first aspect or the second aspect to be executed.

[0042] In a ninth aspect, an embodiment of the present application provides a computer program, which, when executed on a computer, enables the perception measurement method as described in either the first aspect or the second aspect to be executed.

[0043] In the tenth aspect, an embodiment of the present application provides a chip, comprising: a processor, the processor being coupled to a memory, the memory being used to store programs or instructions, and when the programs or instructions are executed by the processor, the perception measurement method as described in either the first aspect or the second aspect is executed.

[0044] Among them, the technical effects brought about by any design method in the fifth to tenth aspects can refer to the technical effects brought about by any one of the first or second aspects mentioned above, and will not be repeated here.

[0045] In the eleventh aspect, an embodiment of the present application provides a communication system, which may include a communication device for performing the communication as described in the first aspect or any possible design of the first aspect, or may also include a communication device for performing the communication as described in the second aspect or any possible design of the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] FIG1 is a schematic diagram of a communication system provided in an embodiment of the present application;

[0047] FIG2 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0048] FIG3 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0049] FIG4 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0050] FIG5 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0051] FIG6 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0052] FIG7 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0053] FIG8 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0054] FIG9 is a schematic diagram of a communication device provided in an embodiment of the present application;

[0055] FIG10 is a flow chart of a perception measurement method provided in an embodiment of the present application;

[0056] FIG11 is a flow chart of a perception measurement method provided in an embodiment of the present application;

[0057] FIG12 is a schematic diagram of frequency phase cancellation provided in an embodiment of the present application;

[0058] FIG13 is a schematic diagram of frequency phase cancellation provided by an embodiment of the present application;

[0059] FIG14 is a schematic diagram of frequency phase cancellation provided by an embodiment of the present application;

[0060] FIG15 is a schematic diagram of a transmitting end device provided in an embodiment of the present application;

[0061] FIG16 is a schematic diagram of a receiving device provided in an embodiment of the present application;

[0062] FIG17 is a schematic diagram of a communication device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] Before describing the embodiments of the present application, the technical terms involved in the embodiments of the present application are described.

[0064] Wireless sensing technology: In recent years, wireless sensing technology has attracted widespread attention in academia. Wireless sensing technology analyzes changes in wireless signals during propagation to determine the characteristics of the signal propagation space (e.g., the channel) and achieve scene perception. Scenes include target location, posture, and motion, as well as external factors such as buildings and moving vehicles.

[0065] For example, radar is one of the most classic wireless sensing methods, and is widely used in agriculture, meteorology, transportation and other fields. Its basic principle is that the transmitting device transmits a specific waveform signal, which is received by the receiving device through the wireless channel. The transmitted signal and the received signal are combined for signal processing to extract the target of interest in the wireless channel.

[0066] Wireless communication systems primarily enable information exchange between transmitting and receiving devices. The fundamental principle is that a transmitting device transmits a specific waveform signal, which is received by the receiving device after passing through a wireless channel and then demodulated after signal processing. Radar and wireless communication share striking similarities in the physical processes of transmission, transmission, and reception. The integration of wireless communication and sensing technologies (represented by radar)—that is, communication-perception integration—to achieve simultaneous communication and environmental awareness has become a hot topic of research.

[0067] Communication perception integration can be achieved by placing perception signals in the frequency domain and perceiving the surrounding environment and targets through perception signals (which can also be described as frequency domain perception signals, perception reference signals, frequency domain perception reference signals, etc.).

[0068] For example, in cellular and wireless fidelity (Wi-Fi) systems, channel state information (CSI) signals can be sent as sensing signals to measure channel quality. Physically, channels are influenced by their surroundings, and channel measurement is, in a sense, a form of sensing.

[0069] For example, in the long term evolution (LTE) system and the fifth generation (5G) new radio (NR) communication system, there is a positioning reference signal (PRS) specifically used for positioning as a perception signal for perception measurement, and the positioning performance is improved by designing the PRS signal.

[0070] In 5G NR and Wi-Fi systems, sensing signals are typically distributed evenly in the frequency domain. In sensing applications, to prevent ranging ambiguity, constraints are placed on the density of sensing signals in the frequency domain. The larger the ranging range, the higher the density of sensing signals in the frequency domain. However, a higher density of sensing signals occupies more frequency domain resources, impacting communication performance.

[0071] To overcome the problem of evenly distributed sensing signals occupying more frequency domain resources, thus affecting communication performance, a sparse sensing signal design method is proposed. In wireless sensing applications, the targets to be sensed are often sparsely distributed in space. Based on this, sparse sensing signals can be used for perception.

[0072] The distribution of sparse sensing signals in the frequency domain is set according to the sensing ranging range and ranging resolution, thereby achieving efficient allocation of frequency domain resources without ambiguous distance and ranging resolution.

[0073] Specifically, (1) the maximum bandwidth of the perception signal is determined by the ranging resolution; (2) the minimum bandwidth of the perception signal is determined by the maximum unambiguous ranging range; (3) the bandwidth coverage is guaranteed to be complete, that is, the bandwidth k*b min , k∈{1,2,…,K}, where K=b max / b min , b max and b min 4) When the above three conditions are met, the frequency domain resources used are the least, that is, the frequency domain resource overhead is the least.

[0074] However, when searching for a distribution pattern of sparse sensing signals that minimizes frequency domain resource overhead based on the perceived ranging range and ranging resolution, the computational complexity is high. Especially when the bandwidth is large, solving the optimal pattern is a non-deterministic polynomially difficult problem (NP-hard problem) with non-unique solutions, making it impossible to determine the optimal sparse sensing signal pattern.

[0075] In order to solve the above technical problems, an embodiment of the present application provides a perception measurement method, in which a transmitting device can determine M frequency points; wherein the sum of the phases corresponding to multiple frequency points among the M frequency points modulo 2π is 0; the frequency information of the M frequency points is sent to the receiving device; and a perception signal is sent to the target object through the M frequency points.

[0076] In an embodiment of the present application, among the M frequency points determined by the transmitting end device for sensing, the sum of the phases corresponding to multiple frequency points modulo 2π is 0, which can ensure that higher ranging resolution is achieved when the ranging is not ambiguous. At the same time, the M frequency points can be non-uniformly distributed in the frequency domain, which can reduce the frequency domain resources occupied by the sensing signal and reduce the frequency domain resource overhead. In addition, the embodiment of the present application can provide a clear sparse sensing signal pattern (i.e., the distribution pattern of the above-mentioned M frequency points), which can reduce the computational complexity on the basis of reducing the frequency domain resources occupied by the sensing signal, realize efficient allocation of frequency domain resources, and improve communication performance.

[0077] The following describes in detail the implementation of the embodiments of the present application in conjunction with the accompanying drawings.

[0078] The communication method provided in the embodiments of the present application can be used in any communication system, which can be a third generation partnership project (3GPP) communication system, for example, an LTE system, and can also be a 5G mobile communication system, a system of LTE and 5G hybrid networking, a NR system, an NR vehicle to everything (V2X) system, a device-to-device (D2D) communication system, a machine to machine (M2M) communication system, the Internet of Things (IoT), a narrowband Internet of Things (NB-IoT), a global system for mobile communications (GSM), an enhanced data rate for GSM evolution (EDGE), a wideband code division multiple access (WCDMA), a code division multiple access 2000 (CDMA2000), a time division-synchronization code division multiple access (TD-SCDMA), an enhanced mobile broadband (EMB) system. Broadband (eMBB), ultra-reliable and low-latency communication (URLLC), enhanced machine-type communication (eMTC), and various types of next-generation communication systems, such as 5.5G mobile communication systems and sixth-generation (6G) mobile communication systems. Non-terrestrial network (NTN) systems (such as satellite communication systems) and non-3GPP communication systems are also not restricted.

[0079] The following describes the communication system provided in an embodiment of the present application using Figure 1 as an example.

[0080] FIG1 is a schematic diagram of a communication system provided in an embodiment of the present application. As shown in FIG1 , the communication system may include at least one terminal device and at least one network device.

[0081] Among them, the terminal device in Figure 1 can be located within the beam / cell coverage of the network device, and the network device can provide communication services for the terminal device. Exemplarily, the network device can use channel coding to encode the downlink data, and transmit it to the terminal device through the air interface after constellation modulation (that is, the network device is a transmitting device, and the terminal device is a receiving device); the terminal device can also use channel coding to encode the uplink data, and send it to the network device through the air interface after constellation modulation (that is, the terminal device is a transmitting device, and the network device is a receiving device). It can be understood that when network devices communicate with each other, or when terminal devices communicate with each other, they can also communicate based on channel coding, that is, the transmitting device and the receiving device can both be network devices, or both be terminal devices, without limitation.

[0082] The terminal device in Figure 1 can be a device with wireless transceiver capabilities or a chip or chip system that can be installed in the device, which can allow users to access the network and is used to provide voice and / or data connectivity to users. The terminal device can also be called user equipment (UE), subscriber unit (subscriber unit), terminal (terminal), mobile station (MS), or mobile terminal (MT).

[0083] Exemplarily, the terminal device in FIG1 may be a mobile phone, a tablet computer, or a computer with wireless transceiver function. The terminal device may also be a user station, a mobile station, a remote station, a remote terminal device, a mobile terminal device, a user terminal device, a wireless communication device, a user agent, a user device, a cellular phone, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (WLL) station, a personal digital assistant (PDA), a tablet computer (PAD), a handheld device with wireless communication capabilities, a computing device, a processing device connected to a wireless modem, an in-vehicle device, a wearable device, a terminal device in the Internet of Things, a home appliance, a virtual reality (VR) terminal, an augmented reality (AR) terminal, a wireless terminal in industrial control, a wireless terminal in unmanned driving, a wireless terminal in telemedicine, a wireless terminal in a smart grid, a wireless terminal in a smart city, a wireless terminal in a smart home, a vehicle with vehicle-to-vehicle (V2V) communication capabilities, an intelligent connected vehicle, a UAV to UAV (UAV to Unmanned aerial vehicles (UAVs, U2Us) with communication capabilities, Wi-Fi terminal devices (such as vehicle-mounted terminals, smartphones, PADs, etc. with the function of connecting to Wi-Fi access points (APs), terminal devices in future networks, or terminal devices in future evolved public land mobile networks (PLMNs), etc., are not restricted.

[0084] The network device in Figure 1 can be any device deployed in an access network that can wirelessly communicate with a terminal device. It can also be a chip or chip system that can be installed in the above-mentioned device, or a logical node or logic module, or a function implemented in software. It can be used to implement wireless physical control functions, resource scheduling and wireless resource management, wireless access control, and mobility management. Specifically, the network device can be a device that supports wired access or a device that supports wireless access.

[0085] Exemplarily, the network device may be composed of one or more access network (AN) / radio access network (RAN) nodes. AN / RAN nodes may be: base stations, evolved Node Bs (gNBs), transmission reception points (TRPs), evolved Node Bs (eNBs), radio network controllers (RNCs), Node Bs (NBs), base station controllers (BSCs), base transceiver stations (BTSs), home base stations (e.g., home evolved Node Bs, or home Node Bs, HNBs), base band units (BBUs), or Wi-Fi APs, etc. The base stations may be 4G, 5G, 5.5G, or future 6G base stations, etc., without limitation; the Wi-Fi APs may be Wi-Fi 5, Wi-Fi 6, or future Wi-Fi AP products, etc., without limitation.

[0086] In another example, network equipment may include a baseband unit (BBU) and a remote radio unit (RRU). The BBU and RRU can be placed in different locations. For example, the RRU can be remotely located in a high-traffic area, while the BBU can be placed in a central computer room. The BBU and RRU can also be placed in the same computer room. The BBU and RRU can also be different components within the same rack.

[0087] In another example, the network device may also be a device including a centralized unit (CU) node, or a distributed unit (DU) node, or a CU node and a DU node. For example, the network device can be divided into CU and DU from a logical function perspective, with some protocol layer functions placed in the CU for centralized control, and the remaining part or all of the protocol layer functions distributed in the DU, which is centrally controlled by the CU. The CU and DU can be set separately, or they can be included in the same network element, such as a BBU. Furthermore, the centralized unit CU can also be divided into a control plane (CU-CP) and a user plane (CU-UP).

[0088] In another example, the network device may include a radio unit (RU), or a device including a CU, a DU, and a RU. The RU may be included in a radio frequency device or a radio frequency unit, such as an RRU, an active antenna unit (AAU), or a remote radio head (RRH).

[0089] It is understandable that in different systems, CU (or CU-CP and CU-UP), DU or RU may have different names, but those skilled in the art can understand their meanings. For example, in an open radio access network (O-RAN) system, CU may also be referred to as O-CU (open CU), DU may also be referred to as O-DU, CU-CP may also be referred to as O-CU-CP, CU-UP may also be referred to as O-CU-UP, and RU may also be referred to as O-RU. For the sake of convenience of description, this application uses CU, CU-CP, CU-UP, DU and RU as examples for description. Any of the CU (or CU-CP, CU-UP), DU and RU in this application may be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.

[0090] Based on the above communication system, illustratively, the perception measurement method provided in the embodiment of the present application can be applied to any of the communication scenarios shown in the following Figures 2 to 8:

[0091] As shown in Figure 2, the network device can serve as a transmitting device and a control device, and the terminal device can serve as a receiving device. The perception signal transmitted by the network device is reflected by the car (or other target objects such as bicycles and drones) and can be received by the terminal device. After receiving the perception signal, the terminal device can perform signal processing at the processing node to obtain the perception result. The perception result may include information such as distance, speed, angle, and intensity.

[0092] The control device may be used to control the transmitting device to transmit the sensing signal. The processing node may be located in the receiving device, or may be the receiving device itself, without limitation.

[0093] As shown in Figure 3, the terminal device can serve as a transmitting device, and the network device can serve as a receiving device and a control device. The perception signal transmitted by the terminal device can be received by the network device after being reflected by the car (or other targets such as bicycles and drones). After receiving the perception signal, the network device can perform signal processing at the processing node to obtain the perception result. The perception result may include information such as distance, speed, angle, and intensity.

[0094] As shown in Figure 4, network device 1 can serve as a transmitting device and a control device, and network device 2 can serve as a receiving device. The perception signal transmitted by network device 1 can be received by network device 2 after being reflected by a car (or other targets such as a bicycle or a drone). After receiving the perception signal, network device 2 can perform signal processing at a processing node to obtain a perception result. The perception result may include information such as distance, speed, angle, and intensity.

[0095] As shown in Figure 5, terminal device 1 can serve as a transmitting device and a control device, and terminal device 2 can serve as a receiving device. The perception signal transmitted by terminal device 1 is reflected by a car (or other targets such as a bicycle or a drone) and then received by terminal device 2. After receiving the perception signal, terminal device 2 can perform signal processing at a processing node to obtain a perception result. The perception result may include information such as distance, speed, angle, and intensity.

[0096] As shown in Figure 6, network device 1 can be used as a transmitting device, network device 2 can be used as a receiving device, and network device 3 can be used as a control device. The perception signal transmitted by network device 1 is reflected by a car (or other targets such as a bicycle or a drone) and then received by network device 2. After receiving the perception signal, network device 2 can perform signal processing at a processing node to obtain a perception result. The perception result may include information such as distance, speed, angle, and intensity.

[0097] As shown in Figure 7, the network device can serve as a transmitting device, a receiving device, and a control device. The network device transmits a perception signal which is reflected by a car (or other targets such as a bicycle or a drone) and then can be received by the network device. After receiving the perception signal, the network device processes the signal at a processing node to obtain a perception result. The perception result may include information such as distance, speed, angle, and intensity.

[0098] As shown in Figure 8, the terminal device can serve as a transmitting device, a receiving device, and a control device. The terminal device transmits a perception signal which is reflected by a car (or other targets such as a bicycle or a drone). After receiving the perception signal, the terminal device can perform signal processing at a processing node to obtain a perception result. The perception result may include information such as distance, speed, angle, and intensity.

[0099] In a specific implementation, as shown in Figures 1 to 8 , each terminal device and network device can adopt the structure shown in Figure 9 , or include the components shown in Figure 9 . Figure 9 is a schematic diagram of the structure of a communication device 900 provided in an embodiment of the present application. The communication device 900 can be a terminal device or a chip or system-on-chip in a terminal device; it can also be a network device or a chip or system-on-chip in a network device. As shown in Figure 9 , the communication device 900 includes a processor 901, a transceiver 902, and a communication circuit 903.

[0100] Furthermore, the communication device 900 may further include a memory 904 , wherein the processor 901 , the memory 904 and the transceiver 902 may be connected via a communication line 903 .

[0101] The processor 901 is a central processing unit (CPU), a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 901 may also be other devices with processing functions, such as circuits, devices, or software modules, without limitation.

[0102] Transceiver 902 is used to communicate with other devices or other communication networks. The other communication networks may be Ethernet, radio access networks (RAN), wireless local area networks (WLAN), etc. Transceiver 902 may be a module, circuit, transceiver, or any device capable of communication.

[0103] The communication line 903 is used to transmit information between the components included in the communication device 900.

[0104] The memory 904 is used to store instructions, where the instructions may be computer programs.

[0105] The memory 904 may be a read-only memory (ROM) or other type of static storage device that can store static information and / or instructions, or a random access memory (RAM) or other type of dynamic storage device that can store information and / or instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, etc., without limitation.

[0106] It should be noted that the memory 904 can exist independently of the processor 901 or can be integrated with the processor 901. The memory 904 can be used to store instructions, program code, or some data. The memory 904 can be located within the communication device 900 or outside the communication device 900, without limitation. The processor 901 is configured to execute the instructions stored in the memory 904 to implement the methods provided in the following embodiments of the present application.

[0107] In an example, the processor 901 may include one or more CPUs, such as CPU0 and CPU1 in FIG. 9 .

[0108] As an optional implementation, the communication device 900 includes multiple processors. For example, in addition to the processor 901 in FIG. 9 , it may also include a processor 907 .

[0109] As an optional implementation, the communication apparatus 900 further includes an output device 905 and an input device 906. For example, the input device 906 is a keyboard, a mouse, a microphone, a joystick, or the like, and the output device 905 is a display screen, a speaker, or the like.

[0110] It should be noted that the communication device 900 may be a desktop computer, a portable computer, a network server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system, or a device having a structure similar to that shown in FIG9 . Furthermore, the component structure shown in FIG9 does not limit the communication device. In addition to the components shown in FIG9 , the communication device may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0111] In the embodiment of the present application, the chip system can be composed of chips, or can include chips and other discrete devices.

[0112] In addition, the actions and terms involved in the various embodiments of this application can refer to each other without limitation. The message names or parameter names in the messages exchanged between the various devices in the embodiments of this application are only examples, and other names can also be used in specific implementations without limitation.

[0113] The following describes the perception measurement method provided in an embodiment of the present application in conjunction with the communication system shown in FIG1 and with reference to FIG10 below. The transmitting device may be any terminal device or network device in the communication system shown in FIG1, and the receiving device may also be any terminal device or network device in the communication system shown in FIG1. ​​The transmitting device or receiving device described in the following embodiment may include the components shown in FIG9.

[0114] FIG10 is a flow chart of a perception measurement method provided in an embodiment of the present application. As shown in FIG10 , the method may include:

[0115] Step 1001: The transmitting end device determines M frequency points.

[0116] The sum of the phases corresponding to the multiple frequency points among the M frequency points modulo 2π is 0.

[0117] Optionally, among the multiple frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) can be π / 2 n , n is an integer.

[0118] Exemplarily, the transmitting end device may select M frequency points from N available frequency points for sensing, wherein the N available frequency points may be predefined frequency points, and the specific value of M may also be a value predefined by the transmitting end device.

[0119] Based on the above description of the M frequency points, in a possible design, the M frequency points may include at least one group of frequency points, each group of at least one group of frequency points may include multiple frequency points, and the sum of the phases corresponding to the individual frequency points in each group of frequency points modulo 2π is 0.

[0120] The at least one group of frequency points may be part of the M frequency points, or the at least one group of frequency points may be all of the M frequency points, without limitation.

[0121] Optionally, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) in each group of frequency points can be π / 2 n n is an integer.

[0122] For example, taking at least one group as K groups, M frequency points may include K groups of frequency points, and each of the K groups of frequency points may include 2n+1 Frequency points, 2 n+1 The sum of the phases corresponding to the frequency points modulo 2π is 0, and K is greater than or equal to 1.

[0123] Among them, K*2 n+1 Can be less than or equal to M.

[0124] For example, for the kth frequency point in the K frequency points group (k=1, 2, ..., K), the kth frequency point group includes 2 n+1 The phases corresponding to the frequency points can be expressed as follows: in, Indicates that the kth group of frequencies includes 2 n+1 The sum of the phases corresponding to the frequency points, mod represents the remainder operation, that is, The modulo 2π is equal to 0.

[0125] Optional, the above 2 n+1 The phase difference between the phases corresponding to two adjacent frequency points arranged in the order of small to large (or large to small) can be π / 2 n , n is an integer.

[0126] Optionally, the phase corresponding to the frequency point may be an integer multiple of 2πΔfΔτ, where Δf represents an integer multiple of the subcarrier spacing, and Δτ is determined based on the maximum frequency point and the minimum frequency point among the M frequency points.

[0127] Among them, the possible value set of the subcarrier spacing can be {15, 30, 60, 120, 240} KHz.

[0128] For example, Among them, f scs Indicates the subcarrier spacing, and round indicates rounding operation.

[0129] For example, the value of Δf may be approximately 1 MHz.

[0130] Exemplarily, Δτ=1 / B, where B represents the difference between the maximum frequency point and the minimum frequency point among the M frequency points.

[0131] Optionally, the frequency point and the phase corresponding to the frequency point can satisfy the following formula: f = (Δ-φ) / 2πΔτ; where f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to an injective function; and Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

[0132] The frequency points of the same group correspond to the same φ, and the frequency points of different groups correspond to different φ.

[0133] For example, taking M frequency points including K frequency groups as an example, the mth frequency point in the kth frequency group is Can be equal to

[0134] Where k = 1, 2, ..., K. m = 1, 2, ..., 2 n+1 . Indicates frequency The corresponding phase, and The phase difference between them can be π / 2 n , Indicates frequency The corresponding phase, It can be an integer multiple of 2πΔfΔτ. k =2πμ(k)ΔfΔτ, μ(k) represents a random integer related to k. Different k corresponds to different μ(k), that is, μ(k) is an injective function with respect to k.

[0135] Based on the above description of M frequency points, three possible examples are given below:

[0136] In a first possible example, n=0, the M frequency points may include M / 2 groups of frequency points, each group of frequency points may include 2 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points in the 2 frequency points may be π.

[0137] In a second possible example, n=1, the M frequency points may include M / 4 groups of frequency points, each group of frequency points may include 4 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) among the 4 frequency points may be π / 2.

[0138] In a third possible example, n=2, the M frequency points may include M / 8 groups of frequency points, each group of frequency points may include 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) among the 8 frequency points may be π / 4.

[0139] Step 1002: The transmitting device sends frequency information of M frequency points to the receiving device; correspondingly, the receiving device receives the frequency information of the M frequency points from the transmitting device.

[0140] The frequency information of the frequency point may include the frequency value of the frequency point; or, the frequency information of the frequency point may also include the index value of the frequency point.

[0141] For example, the frequency index value may be the value obtained by rounding the quotient of the frequency and the subcarrier spacing, that is, f / f scs Round off to get the frequency index value, where f represents the frequency, fscs Indicates the subcarrier spacing.

[0142] Optionally, the transmitting device may send frequency information of M frequency points to the receiving device through an air interface.

[0143] Step 1003: The transmitting device sends a sensing signal to the target object via M frequency points.

[0144] Exemplarily, the sensing signal may be an orthogonal frequency division multiplexing (OFDM) signal.

[0145] Step 1004: The receiving device receives the sensing signal through M frequency points.

[0146] Among them, after the perception signal sent by the transmitting device passes through the air interface and is affected by the target object (such as being reflected by the target object), the receiving device can receive the perception signal at the M frequency points indicated by the transmitting device.

[0147] Step 1005: The receiving device performs perception measurement based on the perception signal to obtain a perception measurement result.

[0148] For example, the perception measurement result may be information such as the distance, angle, speed, position, and intensity of the target object, without limitation.

[0149] Optionally, as shown in step 1006 in FIG11 , the receiving device may also feed back the perception measurement result to the transmitting device. Correspondingly, the transmitting device receives the perception measurement result fed back from the receiving device.

[0150] Exemplarily, the receiving device may feed back the perception measurement result to the transmitting device via an air interface.

[0151] Based on the method shown in FIG10 above, among the M frequency points determined by the transmitting end device for sensing, there are multiple frequency points whose phases are equal to 0 modulo 2π, which can ensure that higher ranging resolution is achieved when ranging is not ambiguous. At the same time, the M frequency points can be non-uniformly distributed in the frequency domain, which can reduce the frequency domain resources occupied by the sensing signal and reduce the frequency domain resource overhead. In addition, the embodiment of the present application can provide a clear sparse sensing signal pattern (i.e., the distribution pattern of the M frequency points mentioned above), which can reduce the computational complexity on the basis of reducing the frequency domain resources occupied by the sensing signal, realize efficient allocation of frequency domain resources, and improve communication performance.

[0152] Optionally, the transmitting end device in the embodiment of the present application can be a terminal device or a network device. When the transmitting end device is a network device, the processing actions of the network device (such as determining M frequency points, generating perception signals, and other processing actions) can be performed by the CU and / or DU of the network device, and the transceiver actions of the network device (such as sending frequency information of M frequency points, sending perception signals, receiving perception measurement results, and other transceiver actions) can be performed by the RU of the network device.

[0153] Optionally, the receiving device in the embodiment of the present application may be a terminal device or a network device. When the receiving device is a network device, the processing actions of the network device (such as performing perception measurements, generating perception measurement results, and other processing actions) may be performed by the CU and / or DU of the network device, and the transceiver actions of the network device (such as receiving perception signals, feeding back perception measurement results, and other transceiver actions) may be performed by the RU of the network device.

[0154] It is understandable that the CU, DU, and RU of the network device can be deployed independently, or the CU and DU can be deployed in one network device, or the CU, DU, and RU can be deployed in one network device, without limitation.

[0155] Optionally, taking the example of M frequency points including K groups of frequency points, the transmitting end device may determine the K groups of frequency points based on the following phase cancellation principle:

[0156] Assuming that there are Q candidate frequencies in the frequency domain, M frequencies can be selected from the Q frequencies for sensing. The corresponding observation equation can be written as follows:

[0157] y=ΦFx=Ψx; Formula (1)

[0158] in, is an M*1-dimensional complex vector, and each value in y represents the response received at each of the M frequency points. Represents the amplitude of the transmitted signal at different delays. Specifically, x can be expressed as:

[0159] Where x1 represents the amplitude of the signal delay τ1 after the transmitted signal x0 passes through the target object 1, ..., x N Indicates the corresponding delay τ of the signal after the sending signal x0 passes through the target object N N The amplitude.

[0160] In the above formula (1) Represents the Fourier transform matrix, where the rows represent the changes in the frequency dimension and the columns represent the changes in the delay dimension. Specifically, the matrix F can be expressed as follows:

[0161] Wherein, Δf represents the interval between two adjacent frequency points.

[0162] In the above formula (1) Represents the frequency selection matrix, that is, selecting M frequency points from Q frequency points. Specifically, the matrix Φ can be written as follows:

[0163] In each row of the matrix, only one element is 1, and the other elements are 0. And each column has at most one element that is 1. If an element in the qth column is 1, it means that the qth frequency point is selected for perception. The M frequency points selected from the Q frequency points can be numbered, that is, the frequency points used for perception can be expressed as {f1,f2,…,f M}.

[0164] In the above formula (1) Represents the observation matrix, which can be expressed as follows:

[0165] In practical applications, most elements in vector x are zero, with only a small number of non-zero elements. For example, we can assume that there are only K non-zero elements. Therefore, even if the number of measurement samples M (i.e., M frequency points) is far less than the number of unknowns N (i.e., the number of target objects N), the values ​​of the K non-zero elements can still be accurately recovered. In other words, vector x can be recovered based on the M frequency points, and the perception results can be analyzed based on vector x.

[0166] Based on the above measurement matrix, since the purpose of sparse sensing signal design is to achieve the best observation performance by selecting a small amount of frequency resources. In order to quantitatively evaluate the quality of the measurement matrix, the column correlation of the matrix can be introduced. For a certain matrix Its column correlation can be defined as:

[0167] Among them, ψ ′ i is the result of ψ normalization, that is Column correlation describes the correlation between two different delay measurement bases. Ideally, each column of the observation matrix is ​​orthogonal, meaning the column correlation is 0. However, in practice, when the matrix dimension M is less than N, the matrix rank (Ψ) ≤ N, meaning that the columns of the matrix Ψ cannot be completely orthogonal.

[0168] Since the observation matrix can be written as follows:

[0169] Then the correlation between the pth column and the qth column can be expressed as:

[0170] Among them, τ p =pΔτ,τ q =qΔτ;

[0171] Assuming that the smaller (pq), the stronger the correlation between the pth column and the qth column, we can focus on optimizing the column correlation when pq = 1, making it as small as possible to achieve better observation performance. When pq is large, target objects can be distinguished not only by distance but also by angle.

[0172] When pq=2 0 =1 (i.e. n=0), the correlation between the two columns can be written as follows:

[0173] Among them, f m =f1+Δf m , then the above formula can be further written as:

[0174] In order to achieve quantitative optimization, we first need to determine the value of Δτ, which can be taken as Where B = f M -f1,f M represents the maximum frequency, and f1 represents the minimum frequency.

[0175] In the first example, for pq=2 0 =1 (i.e. n=0), as shown in Figure 12, the unit circle can be divided into N equal parts, N is an even number, and the angle occupied by each part is 2π / N, that is, the arc is divided into N equal parts, and the corresponding rotation angle of the nth point on the arc is 2πnΔfΔτ. Since the unit circle is divided into N equal parts and N is an even number, there are a total of N / 2 straight lines on the unit circle, and the phase difference between the two vectors on the same straight line is π, and these two vectors correspond to two frequency points (or can also be called frequencies). M / 2 straight lines can be arbitrarily selected from the N / 2 straight lines, and these M / 2 straight lines can cancel each other in phase, so that when pq=1, |ψ p ,ψ q |=0, that is, the correlation between the p-th column and the q-th column is 0. Wherein, M can be an even number.

[0176] Optionally, you can first arbitrarily select M / 2 frequency points {f1, f2, ..., f M / 2}, the corresponding phase can be expressed as [θ1,θ2,…,θ M / 2 ], where θ i=2πΔfΔτ, i=1, 2, ..., M / 2. You can also select M / 2 frequency points, and the phases corresponding to these M / 2 frequency points satisfy Among them, θ j =2πΔfΔτ+π; m=1, 2,..., M / 2; j=M / 2+1, M / 2+2,..., M.

[0177] That is, for pq=2 0 = 1 (i.e. n = 0), you can select at least one set of frequency points (such as θ i ,θ i +π corresponding frequency points), the phases obtained by multiplying each group of frequency points f and the time delay difference Δτ can form straight line pairs, so that the phases corresponding to different frequency points are added to form a pairwise cancellation effect, so that the correlation between the p-th column and the q-th column is minimized, so as to achieve the purpose of achieving the best observation performance by selecting a small amount of frequency point resources, realize efficient allocation of frequency domain resources, and improve communication performance.

[0178] In the second example, for pq=2 1 =2 (i.e. n=1), as shown in Figure 13, two vectors on a straight line rotated by 2 times become in-phase superposition, i.e. In this case, we can select pairs of lines with a phase difference of π / 2. This way, after rotating them twice, the pairs can still cancel each other out. In other words, we can randomly select M / 4 "crosses" from the N / 2 lines, so that when pq = 1 and pq = 2, the column correlation of the two vectors is minimized. M can be an integer multiple of 4.

[0179] Optionally, you can first arbitrarily select M / 4 frequency points {f1, f2, ..., f M / 4}, the corresponding phase can be expressed as [θ1,θ2,…,θ M / 4 ], where θ i =2πΔfΔτ, i=1, 2, ..., M / 4. You can also select 3M / 4 frequency points: {f M / 4+1 ,f M / 4+2 ,…,f M}, in the 3M / 4 frequency points, there are phases with {f1,f2,…,f M / 4 The phase difference corresponding to each of the M / 4 frequency points is π / 2, and the phase is the same as {f1,f2,…,f M / 4} corresponds to the phase difference of M / 4 frequency points of π, and the phase difference with {f1,f2,…,f M / 4 The phase difference corresponding to} is 3π / 2M / 4 frequency points.

[0180] That is, for pq=2 1= 2 (i.e. n = 1), you can select at least one set of frequency points (such as θ i ,θ i +π / 2、θ i +π, and θ i +3π / 2 corresponding frequency points), the phases obtained by multiplying each group of frequency points f and the time delay difference Δτ can form straight line pairs in pairs, and the phase difference between the two straight line pairs is π / 2, presenting a "cross shape" on the ring, so that the phases corresponding to different frequency points are added to form a mutual cancellation effect, so that when pq=1 and pq=2, the column correlation of the two vectors can be minimized, so as to achieve the purpose of achieving the best observation performance by selecting a small number of frequency point resources, realize efficient allocation of frequency domain resources, and improve communication performance.

[0181] In the third example, for pq=2 2 =4 (i.e., n=2). As shown in Figure 14, M / 2 lines can be selected from the N / 2 lines. Four lines form a group, and the lines in this group are evenly distributed on the ring. In other words, pairs of lines with a phase difference interval of π / 4 can be selected, so that when pq=1, pq=2, and pq=4, the column correlation of the two vectors is minimized. M can be an integer multiple of 8.

[0182] Optionally, you can first arbitrarily select M / 8 frequency points {f1, f2, ..., f M / 8}, the corresponding phase can be expressed as [θ1,θ2,…,θ M / 8 ], where θ i =2πΔfΔτ, i=1, 2, ..., M / 8. You can also select 7M / 8 frequency points: {f M / 8+1 ,f M / 8+2 ,…,f M}, among the 7M / 8 frequency points, there are phases with {f1,f2,…,f M / 8 The phase difference corresponding to each of the M / 8 frequency points is π / 4, and the phase is the same as {f1,f2,…,f M / 8 The phase difference corresponding to each of the M / 8 frequency points is π / 2, and the phase is the same as {f1,f2,…,f M / 8 The phase difference corresponding to each of the M / 8 frequency points is 3π / 4, and the phase is the same as {f1,f2,…,f M / 8 The phase difference corresponding to each of the frequencies is π / 8, and the phase difference with {f1,f2,…,f M / 8 The phase difference corresponding to {f1,f2,…,f M / 8 The phase difference corresponding to each of the M / 8 frequency points is 3π / 2, and the phase difference with {f1,f2,…,f M / 8The phase difference corresponding to} is 7π / 4 M / 8 frequency points.

[0183] That is, for pq=2 2 = 4 (i.e. n = 2), you can select at least one set of frequency points (such as θ i ,θ i +π / 4、θ i +π / 2、θ i +3π / 4、θ i +π、θ i +5π / 4、θ i +3π / 2, and θ i +7π / 4 corresponding frequency points), the phases obtained by multiplying each group of frequency points f and the time delay difference Δτ can form straight line pairs in pairs, and the phase difference between the two straight line pairs is π / 4, which is evenly distributed on the ring, so that the phases corresponding to different frequency points are added to form a mutual cancellation effect, so that when pq=1, pq=2 and pq=4, the column correlation of the two vectors can be minimized, so as to achieve the purpose of achieving the best observation performance by selecting a small number of frequency point resources, realize efficient allocation of frequency domain resources, and improve communication performance.

[0184] Based on the above three examples, when M frequency points are selected from N frequency points for sensing, M / 2 straight lines can be selected from N / 2 straight lines, where 2 n The straight lines form a group that is evenly distributed on the ring so that for any pq=2 n , the relative phases between different straight line groups are randomly distributed.

[0185] That is, for pq=2 n , we can select at least one set of frequency points, the phases of which can be obtained by multiplying the frequency points f by the delay difference Δτ to form straight line pairs, and the phase difference between adjacent straight lines in the same group is π / 2 n . As a result, the phases corresponding to different frequencies are added together to cancel each other out, so that when pq=2 n When the column correlation of the two vectors is minimized, the purpose of achieving the best observation performance by selecting a small amount of frequency resources is achieved, the efficient allocation of frequency domain resources is realized, and the communication performance is improved.

[0186] It should be noted that the various embodiments of this application can be implemented independently or in combination, without limitation. Unless otherwise specified or there is a logical conflict, the terms and / or descriptions of the different embodiments provided in this application are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0187] It is understood that in the embodiments of the present application, the execution subject may perform some or all of the steps in the embodiments of the present application. These steps or operations are merely examples, and the embodiments of the present application may also perform other operations or variations of various operations. In addition, the various steps may be performed in a different order than those presented in the embodiments of the present application, and it is possible that not all operations in the embodiments of the present application need to be performed.

[0188] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of interaction between devices. It is understandable that, in order to realize the above functions, each device includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0189] The embodiments of the present application can divide the functional modules of each device according to the above method examples. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiments of the present application is schematic and is only a logical function division. In actual implementation, there may be other division methods.

[0190] In the case of dividing each functional module according to each function, Figure 15 shows a sending end device 150, which can execute the actions performed by the sending end device in the method shown in Figures 10 to 14 above. All relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module. The technical effects that can be obtained can be referred to the above method embodiment and will not be repeated here.

[0191] The transmitting device 150 may include a transceiver module 1501 and a processing module 1502. Exemplarily, the transmitting device 150 may be a communications device, or a chip used in a communications device, or other combined device or component having the aforementioned functions of the transmitting device. When the transmitting device 150 is a communications device, the transceiver module 1501 may be a transceiver, which may include an antenna and radio frequency circuits, etc.; the processing module 1502 may be a processor (or processing circuit), such as a baseband processor, which may include one or more CPUs. When the transmitting device 150 is a component having the aforementioned functions of the transmitting device, the transceiver module 1501 may be a radio frequency unit; the processing module 1502 may be a processor (or processing circuit), such as a baseband processor. When the transmitting device 150 is a system-on-chip (SoC), the transceiver module 1501 may be the input / output interface of the chip (e.g., a baseband chip); the processing module 1502 may be the system-on-chip's processor (or processing circuit), which may include one or more central processing units. It should be understood that the transceiver module 1501 in the embodiment of the present application can be implemented by a transceiver or a transceiver-related circuit component; the processing module 1502 can be implemented by a processor or a processor-related circuit component (or, referred to as a processing circuit).

[0192] For example, the transceiver module 1501 can be used to perform all transceiver operations performed by the transmitting device in the embodiments shown in Figures 10 to 14, and / or to support other processes of the technology described in this document; the processing module 1502 can be used to perform all operations other than transceiver operations performed by the transmitting device in the embodiments shown in Figures 10 to 14, and / or to support other processes of the technology described in this document.

[0193] Exemplarily, the processing module 1502 is used to determine M frequency points; wherein the sum of the phases corresponding to multiple frequency points among the M frequency points modulo 2π is 0; the transceiver module 1501 is used to send frequency information of the M frequency points to the receiving device, and is also used to send perception signals to the target object through the M frequency points.

[0194] In one possible design, the M frequency points include at least one group of frequency points, each frequency point group in the at least one group of frequency points includes multiple frequency points, and the sum of the phases corresponding to the frequency points in each group of frequency points modulo 2π is 0.

[0195] In one possible design, M frequency points include K frequency groups, and each of the K frequency groups includes 2 n+1 Frequency points, 2 n+1 The sum of the phases corresponding to the frequency points modulo 2π is 0, K is greater than or equal to 1, and n is an integer.

[0196] In one possible design, among the multiple frequency points of M frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) is π / 2 n , n is an integer.

[0197] In one possible design, the M frequency points include at least one group of frequency points, each group of frequency points in at least one group of frequency points includes multiple frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) in each group of frequency points is π / 2 n , n is an integer.

[0198] In one possible design, M frequency points include K frequency groups, and each of the K frequency groups includes 2 n+1 Frequency points, 2 n+1 The phase difference between the phases of two adjacent frequency points arranged in the order of small to large (or large to small) is π / 2 n , n is an integer.

[0199] In one possible design, the phase corresponding to the frequency point is an integer multiple of 2πΔfΔτ, where Δf represents an integer multiple of the subcarrier spacing, and Δτ is determined based on the maximum frequency point and the minimum frequency point among the M frequency points.

[0200] In one possible design, the frequency point and the phase corresponding to the frequency point satisfy the following formula: f = (θ-φ) / 2πΔτ; where f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to an injective function, and Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

[0201] In one possible design, the frequency points in the same group correspond to the same f, and the frequency points in different groups correspond to different φ.

[0202] In a possible design, the M frequency points include M / 2 frequency point groups, each frequency point group includes 2 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points in the 2 frequency points is π.

[0203] In one possible design, the M frequency points include M / 4 frequency groups, each frequency group includes 4 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) among the 4 frequency points is π / 2.

[0204] In one possible design, the M frequency points include M / 8 frequency groups, each frequency group includes 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) among the 8 frequency points is π / 4.

[0205] In one possible design, the frequency information of the frequency point includes the frequency value of the frequency point; or, the frequency information of the frequency point includes the index value of the frequency point.

[0206] Figure 16 shows a receiving end device 160, which can execute the actions performed by the receiving end device in the method shown in Figures 10 to 14 above. All relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module. The technical effects that can be obtained can refer to the above method embodiment and will not be repeated here.

[0207] The receiving device 160 may include a transceiver module 1601 and a processing module 1602. Exemplarily, the receiving device 160 may be a communications device, or a chip used in a communications device, or other combined device or component having the aforementioned functions of the receiving device. When the receiving device 160 is a communications device, the transceiver module 1601 may be a transceiver, which may include an antenna and radio frequency circuits, etc.; the processing module 1602 may be a processor (or processing circuit), such as a baseband processor, which may include one or more CPUs. When the receiving device 160 is a component having the aforementioned functions of the receiving device, the transceiver module 1601 may be a radio frequency unit; the processing module 1602 may be a processor (or processing circuit), such as a baseband processor. When the receiving device 160 is a system-on-chip (SoC), the transceiver module 1601 may be the input / output interface of the chip (e.g., a baseband chip); the processing module 1602 may be the system-on-chip's processor (or processing circuit), which may include one or more central processing units. It should be understood that the transceiver module 1601 in the embodiment of the present application can be implemented by a transceiver or a transceiver-related circuit component; the processing module 1602 can be implemented by a processor or a processor-related circuit component (or, referred to as a processing circuit).

[0208] For example, the transceiver module 1601 can be used to perform all transceiver operations performed by the receiving device in the embodiments shown in Figures 10 to 14, and / or to support other processes of the technology described in this document; the processing module 1602 can be used to perform all operations other than transceiver operations performed by the receiving device in the embodiments shown in Figures 10 to 14, and / or to support other processes of the technology described in this document.

[0209] Exemplarily, the transceiver module 1601 is used to receive frequency information of M frequency points from a transmitting device; wherein the sum of the phases corresponding to multiple frequency points among the M frequency points modulo 2π is 0; the transceiver module 1601 is also used to receive perception signals through M frequency points; the processing module 1602 is used to perform perception measurement based on the perception signal to obtain a perception measurement result.

[0210] In one possible design, the M frequency points include at least one group of frequency points, each frequency point group in the at least one group of frequency points includes multiple frequency points, and the sum of the phases corresponding to the frequency points in each group of frequency points modulo 2π is 0.

[0211] In one possible design, M frequency points include K frequency groups, and each of the K frequency groups includes 2 n+1 Frequency points, 2 n+1 The sum of the phases corresponding to the frequency points modulo 2π is 0, K is greater than or equal to 1, and n is an integer.

[0212] In one possible design, among the multiple frequency points of M frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) is π / 2 n , n is an integer.

[0213] In one possible design, the M frequency points include at least one group of frequency points, each group of frequency points in at least one group of frequency points includes multiple frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) in each group of frequency points is π / 2 n , n is an integer.

[0214] In one possible design, M frequency points include K frequency groups, and each of the K frequency groups includes 2 n+1 Frequency points, 2 n+1 The phase difference between the phases of two adjacent frequency points arranged in the order of small to large (or large to small) is π / 2 n , n is an integer.

[0215] In one possible design, the phase corresponding to the frequency point is an integer multiple of 2πΔfΔτ, where Δf represents an integer multiple of the subcarrier spacing, and Δτ is determined based on the maximum frequency point and the minimum frequency point among the M frequency points.

[0216] In one possible design, the frequency point and the phase corresponding to the frequency point satisfy the following formula: f = (θ-φ) / 2πΔτ; where f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to an injective function, and Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

[0217] In one possible design, the φ corresponding to the frequency points of the same group is the same, and the φ corresponding to the frequency points of different groups are different.

[0218] In a possible design, the M frequency points include M / 2 frequency point groups, each frequency point group includes 2 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points in the 2 frequency points is π.

[0219] In one possible design, the M frequency points include M / 4 frequency groups, each frequency group includes 4 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) among the 4 frequency points is π / 2.

[0220] In one possible design, the M frequency points include M / 8 frequency groups, each frequency group includes 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large (or from large to small) among the 8 frequency points is π / 4.

[0221] In one possible design, the frequency information of the frequency point includes the frequency value of the frequency point; or, the frequency information of the frequency point includes the index value of the frequency point.

[0222] As another possible implementation, transceiver module 1501 in Figure 15 can be replaced by a transceiver that integrates the functionality of transceiver module 1501; processing module 1502 can be replaced by a processor that integrates the functionality of processing module 1502. Furthermore, transmitting device 150 shown in Figure 15 can also include a memory. Alternatively, transceiver module 1601 in Figure 16 can be replaced by a transceiver that integrates the functionality of transceiver module 1601; processing module 1602 can be replaced by a processor that integrates the functionality of processing module 1602. Furthermore, receiving device 160 shown in Figure 16 can also include a memory.

[0223] Alternatively, when the processing module 1502 is replaced by a processor and the transceiver module 1501 is replaced by a transceiver, the transmitting device 150 involved in the embodiment of the present application may also be the communication device 170 shown in Figure 17. Alternatively, when the processing module 1602 is replaced by a processor and the transceiver module 1601 is replaced by a transceiver, the receiving device 160 involved in the embodiment of the present application may also be the communication device 170 shown in Figure 17.

[0224] The processor may be a logic circuit 1701, and the transceiver may be an interface circuit 1702. Furthermore, the communication device 170 shown in FIG17 may further include a memory 1703.

[0225] The embodiments of the present application also provide a computer program product, which, when executed by a computer, can implement the functions of any of the above method embodiments.

[0226] The embodiments of the present application also provide a computer program, which, when executed by a computer, can implement the functions of any of the above method embodiments.

[0227] The embodiment of the present application also provides a computer-readable storage medium. All or part of the processes in the above-mentioned method embodiments can be completed by a computer program to instruct the relevant hardware, and the program can be stored in the above-mentioned computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned method embodiments. The computer-readable storage medium can be an internal storage unit of the terminal (including the data sending end and / or the data receiving end) of any of the above-mentioned embodiments, such as the hard disk or memory of the terminal. The above-mentioned computer-readable storage medium can also be an external storage device of the above-mentioned terminal, such as a plug-in hard disk equipped on the above-mentioned terminal, a smart memory card (smart media card, SMC), a secure digital (secure digital, SD) card, a flash card (flash card), etc. Further, the above-mentioned computer-readable storage medium can also include both the internal storage unit of the above-mentioned terminal and an external storage device. The above-mentioned computer-readable storage medium is used to store the above-mentioned computer program and other programs and data required by the above-mentioned terminal. The above-mentioned computer-readable storage medium can also be used to temporarily store data that has been output or is to be output.

[0228] It should be noted that the terms "first" and "second" in the specification, claims and drawings of this application are used to distinguish different objects, rather than to describe a specific order. "First" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of this embodiment, unless otherwise specified, "multiple" means two or more.

[0229] Furthermore, the terms "include," "comprise," and "have," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0230] It should be understood that in this application, "at least one (item)" refers to one or more. "Multiple" refers to two or more. "At least two (items)" refers to two or three and more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships can exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple. “When” and “if” both mean that corresponding measures will be taken under certain objective circumstances. They do not limit the time, nor do they require any judgment action when they are implemented, nor do they mean that there are other limitations.

[0231] In the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner to facilitate understanding.

[0232] In this application, "sending information to ... (a terminal device)" can be understood as the destination of the information being the terminal device. This can include sending information directly or indirectly to the terminal device. "Receiving information from ... (a terminal device)" can be understood as the source of the information being the terminal device. This can include receiving information directly or indirectly from the terminal device. The information may undergo necessary processing between the source and destination, such as formatting changes, but the destination can still understand the valid information from the source.

[0233] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0234] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0235] The units described as separate components may or may not be physically separate, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0236] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0237] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

Claims

1. A perception measurement method, characterized in that: include: Determine M frequency points; wherein the sum of phases corresponding to multiple frequency points among the M frequency points modulo 2π is 0; Sending frequency information of the M frequency points to a receiving end device; A perception signal is sent to the target object via the M frequency points.

2. The method according to claim 1, characterized in that The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and the sum of phases corresponding to the frequency points in each group of frequency points modulo 2π is 0.

3. The method according to claim 1 or 2, characterized in that: The M frequency points include K groups of frequency points, each of the K groups of frequency points includes 2 n+1 frequency points, the 2 n+1 The sum of the phases corresponding to the frequency points modulo 2π is 0, K is greater than or equal to 1, and n is an integer.

4. The method according to any one of claims 1 to 3, characterized in that: Among the multiple frequency points in the M frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large is π / 2 n , n is an integer.

5. The method according to any one of claims 1 to 4, characterized in that: The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order in each group of frequency points is π / 2 n , n is an integer.

6. The method according to any one of claims 1 to 5, characterized in that: The M frequency points include K groups of frequency points, each of the K groups of frequency points includes 2 n+1 frequency points, the 2 n+1 The phase difference between the phases of two adjacent frequency points arranged in ascending order is π / 2 n , n is an integer.

7. The method according to any one of claims 1 to 6, characterized in that: The phase corresponding to the frequency point is an integer multiple of 2πΔfΔτ, wherein the Δf represents an integer multiple of the subcarrier spacing, and the Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

8. The method according to any one of claims 1 to 7, characterized in that: The frequency point and the phase corresponding to the frequency point satisfy the following formula: f=(θ-φ) / 2πΔτ; wherein f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to an injective function; and Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

9. The method according to any one of claims 1 to 8, characterized in that: The M frequency points include M / 2 groups of frequency points, each group of frequency points includes 2 frequency points, and the phase difference between phases corresponding to two adjacent frequency points in the 2 frequency points is π.

10. The method according to any one of claims 1 to 8, characterized in that: The M frequency points include M / 4 groups of frequency points, each group of frequency points includes 4 frequency points, and the phase difference between phases corresponding to two adjacent frequency points arranged in ascending order among the 4 frequency points is π / 2.

11. The method according to any one of claims 1 to 8, characterized in that: The M frequency points include M / 8 groups of frequency points, each group of frequency points includes 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order among the 8 frequency points is π / 4.

12. The method according to any one of claims 1 to 11, characterized in that The frequency point information of the frequency point includes the frequency value of the frequency point; or The frequency information of the frequency includes the index value of the frequency.

13. A perception measurement method, characterized in that: include: Receiving frequency information of M frequency points from a transmitting end device; wherein the sum of phases corresponding to multiple frequency points in the M frequency points modulo 2π is 0; Receiving a sensing signal through the M frequency points; A perception measurement is performed according to the perception signal to obtain a perception measurement result.

14. The method according to claim 13, characterized in that The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and the sum of phases corresponding to the frequency points in each group of frequency points modulo 2π is 0.

15. The method according to claim 13 or 14, characterized in that The M frequency points include K groups of frequency points, each of the K groups of frequency points includes 2 n+1 frequency points, the 2 n+1 The sum of the phases corresponding to the frequency points modulo 2π is 0, K is greater than or equal to 1, and n is an integer.

16. The method according to any one of claims 13 to 15, characterized in that: Among the multiple frequency points in the M frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large is π / 2 n , n is an integer.

17. The method according to any one of claims 13 to 16, characterized in that: The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order in each group of frequency points is π / 2 n , n is an integer.

18. The method according to any one of claims 13 to 17, characterized in that: The M frequency points include K groups of frequency points, each of which includes 2 n+1 frequency points, the 2 n+1 The phase difference between the phases of two adjacent frequency points arranged in ascending order is π / 2 n , n is an integer.

19. The method according to any one of claims 13 to 18, characterized in that: The phase corresponding to the frequency point is an integer multiple of 2πΔfΔτ, wherein the Δf represents an integer multiple of the subcarrier spacing, and the Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

20. The method according to any one of claims 13 to 19, characterized in that: The frequency point and the phase corresponding to the frequency point satisfy the following formula: f=(θ-φ) / 2πΔτ; wherein f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to an injective function; and Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

21. The method according to any one of claims 13 to 20, characterized in that: The M frequency points include M / 2 groups of frequency points, each group of frequency points includes 2 frequency points, and the phase difference between phases corresponding to two adjacent frequency points in the 2 frequency points is π.

22. The method according to any one of claims 13 to 20, characterized in that: The M frequency points include M / 4 groups of frequency points, each group of frequency points includes 4 frequency points, and the phase difference between phases corresponding to two adjacent frequency points arranged in ascending order among the 4 frequency points is π / 2.

23. The method according to any one of claims 13 to 20, characterized in that: The M frequency points include M / 8 groups of frequency points, each group of frequency points includes 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order among the 8 frequency points is π / 4.

24. The method according to any one of claims 13 to 23, characterized in that The frequency point information of the frequency point includes the frequency value of the frequency point; or The frequency information of the frequency includes the index value of the frequency.

25. A communication device, characterized in that: include: A processing module, used to determine M frequency points; wherein the sum of phases corresponding to multiple frequency points among the M frequency points modulo 2π is 0; A transceiver module, used for sending frequency information of the M frequency points to a receiving device; The transceiver module is further used to send a perception signal to the target object via the M frequency points.

26. The device according to claim 25, characterized in that The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and the sum of phases corresponding to the frequency points in each group of frequency points modulo 2π is 0.

27. The device according to claim 25 or 26, characterized in that The M frequency points include K groups of frequency points, each of the K groups of frequency points includes 2 n+1 frequency points, the 2 n+1 The sum of the phases corresponding to the frequency points modulo 2π is 0, K is greater than or equal to 1, and n is an integer.

28. The device according to any one of claims 25 to 27, characterized in that Among the multiple frequency points in the M frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large is π / 2 n , n is an integer.

29. The device according to any one of claims 25 to 28, characterized in that The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and each group of frequency points includes multiple frequency points. The phase difference between the phases of two adjacent frequency points arranged in ascending order is π / 2 n , n is an integer.

30. The device according to any one of claims 25 to 29, characterized in that The M frequency points include K groups of frequency points, each of the K groups of frequency points includes 2 n+1 frequency points, the 2 n+1 The phase difference between the phases of two adjacent frequency points arranged in ascending order is π / 2 n , n is an integer.

31. The device according to any one of claims 25 to 30, characterized in that The phase corresponding to the frequency point is an integer multiple of 2πΔfΔτ, wherein the Δf represents an integer multiple of the subcarrier spacing, and the Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

32. The device according to any one of claims 25 to 31, characterized in that The frequency point and the phase corresponding to the frequency point satisfy the following formula: f=(θ-φ) / 2πΔτ; wherein f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to an injective function; and Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

33. The device according to any one of claims 25 to 32, characterized in that The M frequency points include M / 2 groups of frequency points, each group of frequency points includes 2 frequency points, and the phase difference between phases corresponding to two adjacent frequency points in the 2 frequency points is π.

34. The device according to any one of claims 25 to 32, characterized in that The M frequency points include M / 4 groups of frequency points, each group of frequency points includes 4 frequency points, and the phase difference between phases corresponding to two adjacent frequency points arranged in ascending order among the 4 frequency points is π / 2.

35. The device according to any one of claims 25 to 32, characterized in that The M frequency points include M / 8 groups of frequency points, each group of frequency points includes 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order among the 8 frequency points is π / 4.

36. The device according to any one of claims 25 to 35, characterized in that The frequency point information of the frequency point includes the frequency value of the frequency point; or The frequency information of the frequency includes the index value of the frequency.

37. A communication device, characterized in that: include: A transceiver module, used for receiving frequency information of M frequency points from a transmitting end device; wherein the sum of phases corresponding to multiple frequency points in the M frequency points modulo 2π is 0; The transceiver module is further used to receive the perception signal through the M frequency points; The processing module is used to perform perception measurement according to the perception signal to obtain a perception measurement result.

38. The device according to claim 37, characterized in that The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and the sum of phases corresponding to the frequency points in each group of frequency points modulo 2π is 0.

39. The device according to claim 37 or 38, characterized in that The M frequency points include K groups of frequency points, each of the K groups of frequency points includes 2 n+1 frequency points, the 2 n+1 The sum of the phases corresponding to the frequency points modulo 2π is 0, K is greater than or equal to 1, and n is an integer.

40. The device according to any one of claims 37 to 39, characterized in that Among the multiple frequency points in the M frequency points, the phase difference between the phases corresponding to two adjacent frequency points arranged in order from small to large is π / 2 n , n is an integer.

41. The device according to any one of claims 37 to 40, characterized in that The M frequency points include at least one group of frequency points, each group of frequency points in the at least one group of frequency points includes multiple frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order in each group of frequency points is π / 2 n , n is an integer.

42. The device according to any one of claims 37 to 41, characterized in that The M frequency points include K groups of frequency points, each of the K groups of frequency points includes 2 n+1 frequency points, the 2 n+1 The phase difference between the phases of two adjacent frequency points arranged in ascending order is π / 2 n , n is an integer.

43. The device according to any one of claims 37 to 42, characterized in that The phase corresponding to the frequency point is an integer multiple of 2πΔfΔτ, wherein the Δf represents an integer multiple of the subcarrier spacing, and the Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

44. The device according to any one of claims 37 to 43, characterized in that The frequency point and the phase corresponding to the frequency point satisfy the following formula: f=(θ-φ) / 2πΔτ; wherein f represents the frequency point, θ represents the phase corresponding to the frequency point, φ is determined according to an injective function; and Δτ is determined according to the maximum frequency point and the minimum frequency point among the M frequency points.

45. The device according to any one of claims 37 to 44, characterized in that The M frequency points include M / 2 groups of frequency points, each group of frequency points includes 2 frequency points, and the phase difference between phases corresponding to two adjacent frequency points in the 2 frequency points is π.

46. ​​The device according to any one of claims 37 to 44, characterized in that The M frequency points include M / 4 groups of frequency points, each group of frequency points includes 4 frequency points, and the phase difference between phases corresponding to two adjacent frequency points arranged in ascending order among the 4 frequency points is π / 2.

47. The device according to any one of claims 37 to 44, characterized in that The M frequency points include M / 8 groups of frequency points, each group of frequency points includes 8 frequency points, and the phase difference between the phases corresponding to two adjacent frequency points arranged in ascending order among the 8 frequency points is π / 4.

48. The device according to any one of claims 37 to 47, characterized in that The frequency point information of the frequency point includes the frequency value of the frequency point; or The frequency information of the frequency includes the index value of the frequency.

49. A communication device, characterized in that: The communication device comprises a processor; the processor is configured to run a computer program or an instruction so that the perception measurement method according to any one of claims 1 to 12 is executed, or the perception measurement method according to any one of claims 13 to 24 is executed.

50. The communication device according to claim 49, characterized in that The communication device further comprises a memory for storing the computer program or instructions.

51. A communication device, characterized in that: The communication device includes an interface circuit and a logic circuit; the interface circuit is used to input and / or output information; the logic circuit is used to execute the perception measurement method as described in any one of claims 1-12, or to execute the perception measurement method as described in any one of claims 13-24, and to process and / or generate the information based on the information.

52. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions or programs, and when the computer instructions or programs are executed on a computer, the perception measurement method according to any one of claims 1 to 12 is executed, or the perception measurement method according to any one of claims 13 to 24 is executed.

53. A computer program product, characterized in that The computer program product comprises computer instructions; when part or all of the computer instructions are executed on a computer, the perception measurement method according to any one of claims 1 to 12 is executed, or the perception measurement method according to any one of claims 13 to 24 is executed.

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