Near-field holographic sensing integrated system and joint communication and sensing method and device thereof

Abstract

The application provides a near-field holographic communication and sensing integrated system and a joint communication and sensing method and device thereof. The near-field holographic communication and sensing integrated system comprises a base station, a transmitting end and a receiving end in communication connection with the base station, and the transmitting end and the receiving end both have reconfigurable holographic metasurfaces. The base station is used for carrying out digital beamforming processing on an original signal and sending the signal after digital beamforming to the transmitting end, wherein the original signal comprises a communication user signal and a radar signal. The transmitting end is used for obtaining a communication and sensing integrated signal according to the signal after digital beamforming and transmitting the communication and sensing integrated signal to a target space, and the target space is located in a preset near-field space. The receiving end is used for receiving a reflected signal from the target space, and the reflected signal comes from a sensing target and / or a communication user end in the target space. The system has the characteristics of low power consumption and low cost and can realize near-field communication and sensing integration.

Description

Technical Field

[0001] This invention relates to the field of wireless communication, and in particular to a near-field holographic sensing integrated system and its combined communication and sensing methods and devices. Background Technology

[0002] Synergy and sensing integration refers to the fusion of communication and sensing functions, enabling a communication system to simultaneously perform both communication and sensing operations. With the explosive growth in the number of communication devices, spectrum congestion is becoming increasingly severe. Synergy and sensing integration is an important means of addressing spectrum congestion.

[0003] However, existing integrated sensing methods and devices focus on far-field communication and sensing, and cannot be used in the near field. Furthermore, existing integrated sensing systems use high-cost, high-power phased arrays. A phased array is an array of multiple antenna elements. The signal fed from the feed source is evenly distributed to each antenna element by a power divider. A phase shifter adjusts the phase shift of the signal at each antenna element, and the signals radiated by all antenna elements are superimposed to form the desired waveform, thus achieving beamforming. Because the hardware components such as phase shifters and power dividers that phased arrays rely on have high power consumption, the sensing accuracy and communication capacity of phased array-based integrated sensing systems are very limited given power consumption and cost constraints.

[0004] With the continuous increase in the size and frequency of existing antennas, communication users or sensing targets are often in the near field of the antenna, so there is an urgent need for a device that can realize near-field communication sensing. Summary of the Invention

[0005] In view of this, the purpose of this invention is to propose a near-field holographic sensing integrated system and its combined communication and sensing method and device. This invention can specifically solve the problems that existing sensing integrated methods are not suitable for the near field and have low sensing accuracy.

[0006] Based on the above objectives, in a first aspect, the present invention proposes a near-field holographic sensing integrated system, comprising: a base station, and a transmitter and a receiver communicatively connected to the base station, wherein both the transmitter and the receiver have a reconfigurable holographic metasurface; the base station is used to perform digital beamforming processing on the original signal and to transmit the digitally beamformed signal to the transmitter, wherein the original signal includes a communication user signal and a radar signal; the transmitter is used to obtain a sensing integrated signal based on the digitally beamformed signal and to transmit the sensing integrated signal to a target space, the target space being located in a preset near-field space; the receiver is used to receive a reflected signal from the target space, the reflected signal originating from a sensing target and / or a communication user terminal within the target space.

[0007] Optionally, the reconfigurable holographic metasurface includes a planar waveguide, multiple feed sources disposed on the planar waveguide, and a metamaterial radiating element array disposed on the planar waveguide, wherein the metamaterial radiating element array includes multiple metamaterial radiating elements; the transmitter and the base station are connected via multiple first radio frequency links, and the multiple feed sources of the transmitter and the multiple first radio frequency links have a one-to-one correspondence; the receiver and the base station are connected via multiple second radio frequency links, and the multiple feed sources of the receiver and the multiple second radio frequency links have a one-to-one correspondence.

[0008] Secondly, a joint communication and sensing method for a near-field holographic sensing integrated system is provided. The near-field holographic sensing integrated system includes the near-field holographic sensing integrated system described in any one of the first aspects. The joint communication and sensing method includes: performing digital beamforming processing on an original signal to obtain a digitally beamformed signal, wherein the original signal includes a communication user signal and a radar signal; sending the digitally beamformed signal to a transmitter so that the transmitter obtains a sensing integrated signal based on the digitally beamformed signal, and transmitting the sensing integrated signal to a target space located in a preset near-field space; and establishing communication between a base station and the communication user terminal when the sensing integrated signal is received by a communication user terminal in the target space; acquiring a reflected signal received by a receiver, and acquiring information about the sensing target and the communication user terminal based on the reflected signal, wherein the reflected signal originates from the sensing target and / or the communication user terminal in the target space.

[0009] Optionally, the digital beamforming process on the original signal includes: performing digital beamforming on the communication user signal and the radar signal to obtain K. t dimensional vector; respectively, the K-dimensional vector; t The K-dimensional vector is fed into the transmitter. t A feed source, so that the transmitter is based on K. t Using a 3D vector, simulated beamforming is performed to obtain an integrated sensing signal based on the communication user signal and radar signal.

[0010] Optionally, the target space includes N grid points, where N is an integer greater than or equal to 1. Obtaining the reflected signal received by the receiver includes: calculating the signal at the nth grid point and calculating the reflectivity at the nth grid point, where n is less than or equal to N; and calculating the reflected signal received by the receiver based on the signal at the nth grid point and the reflectivity at the nth grid point.

[0011] Alternatively, the signal at the nth grid point can be calculated using the following formula:

[0012]

[0013] Among them, y n Let B represent the signal at the nth grid point, c represent the communication user signal, and B represent the signal at the nth grid point. c The digital beamforming matrix represents the communication user signal c, w represents the radar signal, and B... w The digital beamforming matrix Q represents the radar signal w. t It is the phase shift matrix Ψ that represents the signal propagating within the planar waveguide at the transmitting end. t It is the simulated beamforming matrix at the transmitting end, h t,n It is the transmission channel from the transmitter to the nth grid point.

[0014] Optionally, the reflected signal received by the receiver is calculated according to the following formula:

[0015]

[0016] Where z represents the signal received, Q r It is the phase shift matrix Ψ that represents the propagation of the transmitted signal within the planar waveguide at the receiving end. r It is the analog beamforming matrix at the receiver, h r,n It is the transmission channel from the nth grid point to the receiver, β n Let be the reflectivity at the nth grid point, and ∈ be the noise at the receiving metamaterial radiating unit.

[0017] Optionally, calculating the reflectivity at the nth grid point includes: obtaining multiple first preset time slots based on the number of communication user terminals in the target space; for each first preset time slot, obtaining a first digital beamforming matrix, a first analog beamforming matrix, and a first filtering vector corresponding to the grid point where each communication user terminal is located by solving an optimization problem of the reflected signal of each communication user terminal; adjusting the beamforming matrix of the transmitting end, the beamforming matrix of the receiving end, and the filtering vector of the receiving end based on the first digital beamforming matrix, the first analog beamforming matrix, and the first filtering vector of the grid point where the communication user terminal is located to obtain a first received signal of the receiving end; obtaining the reflectivity of each communication user terminal based on the first received signal of the receiving end in each first preset time slot; wherein, for the optimization problem of each communication user terminal, the optimization problem is constructed based on the minimum difference between the reflected signal intensity of the preset grid point and the reflected signal intensity of any grid point, and the upper limit of the transmit power.

[0018] Optionally, after obtaining the reflectivity of each communication user terminal, the method further includes: obtaining multiple second preset time slots based on the difference between the total number of grid points in the target space and the number of grid points containing communication user terminals; for each second preset time slot, obtaining a second digital beamforming matrix, a second optimized analog beamforming matrix, and a second filtering vector corresponding to the target grid point by solving the optimization problem of the reflected signal of each target grid point, wherein the target grid point is a grid point where a non-communication user terminal is located; adjusting the beamforming matrix of the transmitting end, the beamforming matrix of the receiving end, and the filtering vector of the receiving end based on the second digital beamforming matrix, the second optimized analog beamforming matrix, and the second filtering vector to obtain the second received signal of the receiving end; filtering the signal reflected by the communication users in the second received signal based on the reflectivity of all communication user terminals, and obtaining the reflectivity of each target grid point based on the filtered second received signal; wherein the optimization problem of the reflected signal of the target grid point is constructed based on the minimum difference between the reflected signal intensity of the preset grid point and the reflected signal intensity of any grid point, the upper limit of the transmit power, and the signal-to-interference-plus-noise ratio threshold of the communication user terminal.

[0019] Thirdly, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the method as described in any of the second aspects.

[0020] Thirdly, a computer-readable storage medium is provided having a computer program stored thereon, the program being executed by a processor to implement the method described in any of the second aspects.

[0021] In summary, the present invention has at least the following beneficial effects:

[0022] This embodiment provides a near-field holographic sensing integrated system, including: a base station, and a transmitter and a receiver communicatively connected to the base station. Both the transmitter and the receiver have reconfigurable holographic metasurfaces, which are characterized by low power consumption and low cost. The base station is used to perform digital beamforming processing on communication user signals and radar signals and send them to the transmitter. The transmitter obtains a sensing integrated signal based on the digitally beamformed signal and transmits the sensing integrated signal to a target space located in a preset near-field space. The receiver is used to receive reflected signals from the sensing target and / or the communication user terminal in the target space. This system can simultaneously realize the joint operation of user communication and target sensing in the near-field space, thereby achieving near-field sensing integration. Attached Figure Description

[0023] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in the invention and should not be construed as limiting the scope of the invention.

[0024] Figure 1 This diagram illustrates the structure of the near-field holographic sensing integrated system of the present invention.

[0025] Figure 2 This diagram illustrates the steps of the communication and sensing method of the near-field holographic sensing integrated system of the present invention.

[0026] Figure 3 This diagram illustrates another step in the communication and sensing method of a near-field holographic sensing integrated system.

[0027] Figure 4 This diagram illustrates another step in the communication and sensing method of the near-field holographic sensing integrated system.

[0028] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present invention is shown;

[0029] Figure 6 A schematic diagram of a storage medium provided in an embodiment of the present invention is shown. Detailed Implementation

[0030] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0031] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0032] Figure 1 This diagram illustrates a near-field holographic sensing integrated system according to the present invention. (Refer to...) Figure 1In an embodiment of the present invention, the near-field holographic sensing integrated system includes: a base station, and a transmitter and a receiver connected to the base station in communication. Both the transmitter and the receiver have a reconfigurable holographic surface (RHS). The base station is used to perform digital beamforming processing on the original signal and to send the digitally beamformed signal to the transmitter. The transmitter is used to obtain a sensing integrated signal based on the digitally beamformed signal and to transmit the sensing integrated signal to the target space. When there is a sensing target or a communication user in the target space, the sensing integrated signal emitted by the transmitter will be reflected, i.e., a reflected signal exists. The receiver is used to receive the reflected signal from the target space. The reflected signal comes from the sensing target and / or the communication user in the target space.

[0033] The original signals in this embodiment include communication user signals and radar signals. The communication user signals are used to communicate with the communication user terminal in the target space, and the radar signals are used to detect and sense the sensing targets in the target space.

[0034] It should be noted that the target space in this embodiment is located in a preset near-field space. The spatial range of the preset near-field space in this embodiment can be determined by the propagation distance of the electromagnetic waves emitted by the reconfigurable holographic metasurface. For example, the range in which the propagation distance of the electromagnetic waves emitted by the reconfigurable holographic metasurface is less than a preset distance is determined as the preset near-field space.

[0035] This near-field holographic sensing system uses a reconfigurable holographic metasurface, which can achieve low power consumption and low cost, and can simultaneously realize user communication and target perception in the near-field space, thus achieving near-field sensing integration.

[0036] In one example, the reconfigurable holographic metasurface includes a planar waveguide, multiple feeds disposed on the planar waveguide, and a metamaterial radiating element array disposed on the planar waveguide, the metamaterial radiating element array including multiple metamaterial radiating elements. The feeds of the RHS can be embedded at the bottom or side of the RHS to transmit signals from the RF link into the RHS. During operation, the feed source receives an RF signal, which propagates as a surface wave on the planar waveguide and excites the metamaterial radiating element. The excited metamaterial radiating element radiates the signal into free space. During the propagation of the RF signal, the discrete amplitude of the RF signal propagating to the metamaterial radiating element can be adjusted by regulating the switching state of multiple PIN diodes in each metamaterial radiating element. The metamaterial radiating element has a finite number of discrete adjustable amplitude values, and the diode switching state has a one-to-one correspondence with the amplitude value of the RF signal radiated on the metamaterial radiating element. Furthermore, the RHS radiation signal is the superposition of the radiation signals from all elements. Therefore, the radiation pattern of the RHS can be changed by adjusting the bias voltage. By adjusting the bias voltage of the power supply in the metasurface element to the target bias voltage, simulated beamforming can be performed, and the amplitude value of the electromagnetic wave radiated on the metamaterial radiating element is the target amplitude value.

[0037] Reconfigurable holographic antennas (RHSs), as small-size, low-power planar antennas, offer advantages such as low manufacturing and hardware costs, and strong multi-beam control capabilities. Specifically, RHSs are ultra-thin planar antennas with numerous metamaterial radiating elements embedded on their surface. Specifically, a reference wave generated by the antenna feed excites the RHS in the form of a surface wave, making it possible to manufacture a compact RHS based on printed circuit board (PCB) technology. According to the holographic pattern, each radiating element can electrically control the radiation amplitude of the reference wave to generate the desired radiation direction. Therefore, compared to traditional dish antennas and phased array antennas, RHSs can achieve dynamic beamforming without heavy mechanical movement devices and complex phase-shifting circuits, significantly reducing antenna manufacturing costs and power loss. Based on this, the transmitter and receiver of this embodiment employ reconfigurable holographic metasurfaces, achieving low power consumption and low cost.

[0038] refer to Figure 1 In this embodiment, the transmitter and the base station are connected via multiple first radio frequency links, and there is a one-to-one correspondence between the multiple feeds of the transmitter and the multiple first radio frequency links. The receiver and the base station are connected via multiple second radio frequency links, and there is a one-to-one correspondence between the multiple feeds of the receiver and the multiple second radio frequency links. That is, each feed of the transmitter and receiver is connected to the base station via a separate radio frequency link.

[0039] In one example, the base station performs digital beamforming on the original signal to generate a K-beamform. tA K-dimensional vector, which t A vector of dimension is fed into the transmitter RHS of K. t A feed source, the transmitter according to this K t A 3D vector is used to perform simulated beamforming to obtain a sensing-integrated signal, which is then transmitted to the target space. Since the sensing-integrated signal includes both communication user signals and radar signals, it can enable communication with the communication user terminal within the target space, and simultaneously enable the perception of the sensing target within the target space. The sensing target and the communication user terminal within the target space will generate reflected signals, which are received by the receiving end. The base station can obtain information about the sensing target and the communication user terminal based on the reflected signals received by the receiving end.

[0040] In the process of performing the aforementioned sensing integration process at the base station, a sensing integration strategy is also employed to reduce signal interference during the operation of the near-field sensing integration system, thereby improving the sensing accuracy of the target in the near-field range and the communication rate between the base station and the user terminal. The specific sensing integration strategy is described in the following section on the communication and sensing methods of the near-field holographic sensing integration system.

[0041] The above is a near-field holographic sensing integrated system provided in this embodiment, which can realize near-field communication sensing and has the characteristics of low power consumption and low cost.

[0042] Figure 2 This diagram illustrates a step-by-step flowchart of a communication and sensing method for a near-field holographic sensing integrated system. (Refer to...) Figure 2 The near-field holographic sensing integrated system of this embodiment includes the system provided in the above embodiments, such as... Figure 1 The near-field holographic sensing integrated system is shown. This communication and sensing method can be executed by a base station. Specifically, a communication and sensing method for a near-field holographic sensing integrated system includes the following steps S201–S203:

[0043] S201. Perform digital beamforming processing on the original signal to obtain the digitally beamformed signal.

[0044] In this embodiment, the original signals include communication user signals and radar signals.

[0045] For example, a communication user signal is represented as c = (c1, ..., c l ,…,c L ) T , where c l Let L represent the signal from the l-th communication user terminal, and L represent the number of communication user terminals. The radar signal is represented as... w k K represents the radar waveform of the k-th feed source. t This indicates the number of feed sources for the RHS.

[0046] This embodiment performs digital beamforming processing on the original signal, including: performing digital beamforming processing on the communication user signal and the radar signal to obtain K. t A dimensional vector. For example, a base station performs digital beamforming processing on a communication user signal c to obtain the digital beamforming matrix B of the communication user signal. c The base station performs digital beamforming processing on the radar signal w to obtain the digital beamforming matrix B of the radar waveform. w B c and B w For K t Dimensional vector.

[0047] S202. The digital beamforming signal is sent to the transmitter so that the transmitter can emit a sensor-integrated signal and establish communication with the user terminal.

[0048] In this embodiment, after the digital beamforming signal is sent to the transmitter, the transmitter obtains the integrated sensing signal based on the digital beamforming signal. The transmitter then transmits the integrated sensing signal to the target space. If the integrated sensing signal is received by the communication user terminal in the target space, it indicates that the communication user terminal has received the signal from the base station. The base station establishes communication with the communication user terminal, and at this time, the base station provides services to the communication user terminal.

[0049] In this embodiment, the target space is located in a preset near-field space to achieve near-field synesthesia integration.

[0050] Continuing with the above example, the base station will use the B obtained in step S201 above. c and B w K fed into the transmitter t A feed source, so that the transmitter is based on K t The simulated beamforming matrix of the dimensional vector and RHS is used to obtain a synthetic signal based on communication user signals and radar signals. The transmitter then transmits this synthetic signal to the target space. Specifically, simulated beamforming can be performed by adjusting the bias voltage of the power supply in the metasurface unit of the reconfigurable holographic metasurface of the transmitter.

[0051] It is understandable that if the target space is a near-field space, then the near-field space can be divided into N grid points, where N is an integer greater than or equal to 1, and then the signal can be detected and sensed at each grid point in the target space.

[0052] In one example, a transmission channel can be established between the base station and each grid point to enable signal transmission between the transmitting RHS and the receiving RHS and each grid point.

[0053] Then the signal y at the nth grid point m It can be calculated using the following formula:

[0054]

[0055] Where n is less than or equal to N, y n Let B represent the signal at the nth grid point, c represent the communication user signal, and B represent the signal at the nth grid point. c The digital beamforming matrix represents the communication user signal c, w represents the radar signal, and B... w The digital beamforming matrix Q represents the radar signal w. t It is the phase shift matrix Ψ that represents the signal propagating within the planar waveguide at the transmitting end. t It is the simulated beamforming matrix at the transmitting end, h t,n It is the transmission channel from the transmitter to the nth grid point.

[0056] 203. Obtain the reflected signal received by the receiving end, and obtain the information of the sensing target and the information of the communication user terminal based on the reflected signal.

[0057] When a sensing target or communication user terminal exists at any grid point within the target space, the sensing target or communication user terminal will generate a reflected signal. This reflected signal originates from the sensing target and / or communication user terminal within the target space. The base station can obtain information about the sensing target and communication user terminal by analyzing this reflected signal. For example, detecting the type, location, and distance of the sensing target can also reveal the location information of the communication user terminal.

[0058] In this embodiment, obtaining the reflected signal received by the receiver includes: calculating the signal at the nth grid point and calculating the reflectivity at the nth grid point; and calculating the reflected signal received by the receiver based on the signal at the nth grid point and the reflectivity at the nth grid point.

[0059] In one example, the reflected signal z received by the receiver can be calculated using the following formula:

[0060]

[0061] Where z represents the signal received, Q r Ψ is the phase shift matrix of the reflected signal propagating within the planar waveguide at the receiving end. r It is the analog beamforming matrix at the receiver, h r,n It is the transmission channel from the nth grid point to the receiver, β n Let be the reflectivity at the nth grid point, and ∈ be the noise at the receiving metamaterial radiating unit.

[0062] It should be noted that when any grid point in the target space contains a sensing target or a communication user terminal, β n ≠0, and when there is no sensing target or communication user terminal within the grid point, βn =0. Then, the reflected signal corresponding to each grid point in the target space can be obtained through the above method, realizing full coverage detection and perception of every region in the near field space.

[0063] Understandably, due to interference between different targets in the near-field space, this embodiment employs a sensing-integrated strategy to reduce signal interference during the operation of the near-field sensing-integrated system in order to improve the sensing accuracy of the target in the near-field range and the communication rate between the base station and the communication user terminal.

[0064] In this embodiment, the integrated sensing strategy may include two steps: user detection and integrated sensing transmission. The user detection includes detecting the communication user terminals in the target space within multiple first preset time slots to obtain the reflected signal based on each communication user terminal, so as to enhance the communication rate between the base station and the communication user terminal.

[0065] The integrated sensing transmission can detect grid points in the target space that are not located at the communication user terminal within multiple second preset time slots while serving the communication user terminal. It can obtain the reflected signal of each target grid point and reduce the impact of the reflected signal of the communication user terminal on the sensed target in the detection target space. In this way, it can improve the sensing accuracy of the sensed target while ensuring the communication rate of each communication user terminal.

[0066] Specifically, Figure 3 This diagram illustrates another step of the communication and sensing method for a near-field holographic sensing integrated system, with reference to... Figure 3 The sensor integration strategy in this embodiment includes the following steps S301 to S303:

[0067] S301. Based on the number of communication user terminals in the target space, obtain multiple first preset time slots.

[0068] For example, if the number of communication user terminals in the target space is L, then the user detection phase is divided into L first preset time slots. In each first preset time slot, the communication user terminals are detected until all L communication user terminals are detected.

[0069] S302. For each first preset time slot, by solving the optimization problem of the reflected signal of each communication user terminal, the first digital beamforming matrix, the first analog beamforming matrix and the first filtering vector corresponding to the grid point where each communication user terminal is located are obtained.

[0070] For example, if the l-th communication user terminal is detected in the l-th time slot, where l is less than or equal to L, and the l-th communication user terminal is located at the n1-th grid point, then by solving the optimization problem of the reflected signal of the l-th communication user terminal, the first digital beamforming matrix, the first analog beamforming matrix, and the first filter vector of the grid point where the l-th communication user terminal is located can be obtained.

[0071] In this embodiment, the optimization problem for each communication user terminal is constructed based on the minimum difference between the reflected signal strength of a preset grid point and the reflected signal strength of any grid point, and the upper limit of the transmission power.

[0072] Specifically, the optimization problem of the reflected signal of the l-th communication user terminal can be expressed as:

[0073]

[0074]

[0075] P t ≤P max

[0076] Where B represents the digital beamforming matrix of the grid, Ψ is the analog beamforming matrix of the transmitter, and f l P refers to the filter vector of the l-th communication user terminal. t It is the total transmit power of the transmitter's RHS, P max This represents the upper limit of the transmit power of the transmitter's RHS, δ is the minimum difference between the reflected signal strength at a given grid point and the reflected signal strength from any other grid point, and st is the subject to... This indicates that conditions need to be met.

[0077] z n The signal associated with the nth grid point at the base station can be written as:

[0078]

[0079] Among them, Q r It is the phase shift matrix Ψ that represents the propagation of the reflected signal within the waveguide at the receiving end. r It is the analog beamforming matrix at the receiver, h r,n It is the transmission channel from the nth grid point to the receiver, β n Let y be the reflectance at the nth grid point. n It is the reflected signal at the nth grid point.

[0080] Similarly, This represents the signal associated with the n1th grid point at the base station.

[0081] By solving the optimization problem of the reflected signal of the l-th communication user terminal through iterative optimization, the reflected signal from the l-th communication user terminal located at the n1-th grid point can be maximized, thereby reducing the interference of reflected signals from other grid points besides the n1-th grid point. This ensures that the reflected signal of the l-th communication user terminal only contains the signal from the n1-th grid point, making the calculation of the reflectivity of the communication user terminal more accurate.

[0082] S303. Based on the first digital beamforming matrix, the first analog beamforming matrix, and the first filtering vector of the grid point where the communication user terminal is located, adjust the beamforming matrix of the transmitting end, the beamforming matrix of the receiving end, and the filtering vector of the receiving end to obtain the first received signal of the receiving end.

[0083] Understandably, after solving the optimization problem of the reflected signal of each communication user terminal, the reflected signal can be optimized. At this time, the first digital beamforming matrix, the first analog beamforming matrix, and the first filtering vector are the optimized parameters. Since the signal of the grid point where the l-th communication user terminal is located is related to the radiation signal emitted by the transmitter to the corresponding grid point, the beamforming matrix of the transmitter can be adjusted in reverse by the optimized parameters. At the same time, the beamforming matrix and the filtering vector of the receiver can be adjusted to optimize the received signal. The first received signal obtained at this time is also more accurate, which can improve the accuracy of the calculation of the reflectivity of the communication user terminal.

[0084] S304. Based on the first received signal of the receiving end in each first preset time slot, obtain the reflectivity of each communication user end.

[0085] As can be seen from the above steps S302 and S303, if the above operations S302 and S303 are performed for each first preset time slot, the reflectivity of each communication user terminal under L first preset time slots can be obtained.

[0086] It should be noted that the more grid points there are in this embodiment, the more accurate the detection results will be. In a preferred example, the size of the grid points can be divided according to the space occupied by the communication user terminal, so that the reflected signal of one communication user terminal corresponds to the reflected signal of one grid point.

[0087] After obtaining the first received signal from the receiver, the reflectivity β of the l-th communication user terminal can be estimated using the maximum likelihood estimation method based on the calculation formula of the reflected signal z received by the receiver. l In an optional example, the reflectivity β of the l-th communication user terminal l Equal to the reflectivity of grid point n1 where the l-th communication user terminal is located

[0088] Similarly, the reflectivity of each communication user terminal can be obtained, forming a set of reflectivity {β} for the communication user terminals. l}

[0089] The aforementioned user detection method can detect each communication user terminal and detect different communication user terminals in different time slots. It optimizes parameters based on the optimization problem of the reflected signal of the communication user terminal, and then adjusts the beamforming matrix of the transmitter, the beamforming matrix of the receiver, and the filtering vector of the receiver based on the optimized parameters. This ensures that the reflected signal of the l-th communication user terminal contains only the signal from the grid point where the l-th communication user terminal is located, which can enhance the communication rate between the base station and the communication user terminal and make the calculation of the reflectivity of the communication user terminal more accurate.

[0090] Furthermore, Figure 4 This diagram illustrates another step in the communication and sensing method of a near-field holographic sensing integrated system. (Refer to...) Figure 4 After obtaining the reflectivity of each communication user terminal, the method in this embodiment further includes the following steps S401 to S405:

[0091] S401. Based on the difference between the total number of grid points in the target space and the number of grid points with communication user terminals, multiple second preset time slots are obtained.

[0092] For example, if the total number of grid points in the target space is N and the number of grid points with communication user terminals is L, then the number of second preset time slots is the difference between N and L. The number of second preset time slots is the number of grid points where non-communication user terminals are located. In any of the (NL) second preset time slots, a grid point where a non-communication user terminal is located is sensed, thereby realizing the sensing of each grid point where a non-communication user terminal is located in each second preset time slot.

[0093] S402. For each second preset time slot, by solving the optimization problem of the reflected signal of each target grid point, the second digital beamforming matrix, the second optimized analog beamforming matrix, and the second filtering vector corresponding to the target grid point are obtained.

[0094] In this embodiment, the target grid point is a grid point that is not where the communication user terminal is located. For example, in the nth time slot, a grid point that does not contain a communication user terminal is detected, and the grid point number is recorded as n′. The detected received signal is used as the reflected signal of the target grid point.

[0095] In this embodiment, the optimization problem of the reflected signal of the target grid point is constructed based on the minimum difference between the reflected signal intensity of the preset grid point and the reflected signal intensity of any grid point, the upper limit of the transmission power, and the signal-to-interference-plus-noise ratio threshold of the communication user terminal.

[0096] In one example, the optimization problem of the reflected signal at the target grid point can be written as:

[0097]

[0098]

[0099] P t ≤P max

[0100]

[0101] Where B represents the digital beamforming matrix of the grid, Ψ is the analog beamforming matrix of the transmitter, and f n′ P refers to the filter vector corresponding to the n′-th target grid point. t It is the total transmit power of the RHS at the transmitter, γ l It is the signal-to-interference-plus-noise ratio (SIR) of the l-th communication user terminal, Γ l It is the signal-to-interference-plus-noise ratio threshold for the l-th communication user terminal. It is the set of all grid points except the grid point where the communication user terminal is located, i.e., the set of target grid points.

[0102] By solving the optimization problem of the reflected signal of the target grid point, the reflected signal from the n′-th target grid point can be maximized, thereby reducing the interference from the reflected signals from other grid points.

[0103] S403. Based on the second digital beamforming matrix, the second optimized analog beamforming matrix, and the second filtering vector, adjust the beamforming matrix of the transmitter, the beamforming matrix of the receiver, and the filtering vector of the receiver to obtain the second received signal of the receiver.

[0104] Understandably, after solving the optimization problem of the reflected signal of each target grid point, the reflected signal of the target grid point can be optimized. At this time, the second digital beamforming matrix, the second analog beamforming matrix, and the second filtering vector are the optimized parameters. Since the signal of the nth target grid point is related to the radiation signal emitted by the transmitter to the corresponding grid point, the beamforming matrix of the transmitter can be adjusted in reverse by the optimized parameters. At the same time, the beamforming matrix and the filtering vector of the receiver can be adjusted to optimize the received signal. The second received signal obtained at this time is also more accurate, which can improve the accuracy of the calculation of the reflectivity of the target grid point.

[0105] S404. Based on the reflectivity of all communication user terminals, filter the signals reflected by the communication users in the second received signal, and obtain the reflectivity of each target grid point based on the filtered second received signal.

[0106] It is understandable that, since there are communication user terminals in the target space, the received second received signal may also contain reflected signals from the communication user terminals. Therefore, after obtaining the second received signal, the signals reflected by the communication user terminals in the second received signal are filtered according to the reflectivity of all communication user terminals, that is, by using the reflectivity set {β} of the communication user terminals obtained in S304. l The reflected signal from the communication user is filtered out from the second received signal. Based on the filtered second received signal, the reflectivity of each target grid point is obtained. Therefore, the grid point reflection signal calculated from the reflectivity of the target grid points obtained in this step has filtered out the influence of the reflected signal from the communication user end, resulting in higher sensing accuracy.

[0107] The above describes a communication and sensing method for a near-field holographic sensing integrated system provided in this embodiment. It can realize sensing integration in the near-field space. Through the sensing integration strategy, it first detects communication users, enhances the communication rate between the base station and the communication user terminal, and reduces the impact of the reflected signal of the communication user terminal on the perceived target in the detection target space. Secondly, it detects other grid points outside the grid point where the communication user terminal is located and performs target perception on other grid points. Thus, it can improve the perception accuracy of the perceived target while ensuring the communication rate of each communication user terminal.

[0108] The present invention also provides an electronic device corresponding to the communication and sensing method of the near-field holographic sensing integrated system provided in the foregoing embodiments, to execute the communication and sensing method of the near-field holographic sensing integrated system, and the electronic device can be installed in a base station.

[0109] Please refer to Figure 5 This illustrates a schematic diagram of an electronic device provided by some embodiments of the present invention. For example... Figure 5 As shown, the electronic device 20 includes: a processor 200, a memory 201, a bus 202, and a communication interface 203. The processor 200, the communication interface 203, and the memory 201 are connected via the bus 202. The memory 201 stores a computer program that can run on the processor 200. When the processor 200 runs the computer program, it executes the communication and sensing method of the near-field holographic sensing integrated system provided in any of the foregoing embodiments of the present invention.

[0110] The memory 201 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 203 (which can be wired or wireless), such as the Internet, wide area network, local area network, or metropolitan area network.

[0111] Bus 202 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used to store programs. After receiving an execution instruction, the processor 200 executes the program. The communication and sensing method of the near-field holographic sensing integrated system disclosed in any of the foregoing embodiments of the present invention can be applied to the processor 200, or implemented by the processor 200.

[0112] The processor 200 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 200 or by instructions in software form. The processor 200 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 201. The processor 200 reads the information in memory 201 and, in conjunction with its hardware, completes the steps of the above method.

[0113] The electronic device provided in this embodiment of the invention and the communication and sensing method of the near-field holographic sensing integrated system provided in this embodiment of the invention are based on the same inventive concept and have the same beneficial effects as the methods they adopt, operate or implement.

[0114] This invention also provides a computer-readable storage medium corresponding to the communication and sensing method of the near-field holographic sensing integrated system provided in the foregoing embodiments. Please refer to [link / reference]. Figure 6 The computer-readable storage medium shown is an optical disc 30, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it executes the communication and sensing method of the near-field holographic sensing integrated system provided in any of the foregoing embodiments.

[0115] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0116] The computer-readable storage medium provided in the above embodiments of the present invention and the communication and sensing method of the near-field holographic sensing integrated system provided in the embodiments of the present invention are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0117] It should be noted that:

[0118] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0119] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0120] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in the present invention, and these should all be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the appended claims.

Claims

1. A near-field holographic sensing integrated system, characterized in that, include: A base station, and a transmitter and a receiver connected in communication with the base station, wherein both the transmitter and the receiver have a reconfigurable holographic metasurface; The base station is used to perform digital beamforming processing on the original signal and to send the digitally beamformed signal to the transmitter, wherein the original signal includes communication user signals and radar signals; The transmitting end is used to obtain a synergistic signal based on the signal after digital beamforming, and to transmit the synergistic signal to the target space, which is located in a preset near-field space; The receiving end is used to receive reflected signals from the target space, the reflected signals originating from sensing targets and / or communication user terminals within the target space; The target space includes Each grid point The value is an integer greater than or equal to 1. The base station acquires the reflected signal received by the receiver and calculates the... The signal at the i-th grid point and the calculation of the i-th grid point The reflectance at each grid point, where... Less than or equal to ; The calculation of the first The reflectivity at each grid point includes: obtaining multiple first preset time slots based on the number of communication user terminals in the target space; for each first preset time slot, obtaining a first digital beamforming matrix, a first analog beamforming matrix, and a first filtering vector corresponding to each grid point of the communication user terminal by solving an optimization problem of the reflected signal of each communication user terminal; adjusting the beamforming matrix of the transmitting end, the beamforming matrix of the receiving end, and the filtering vector of the receiving end based on the first digital beamforming matrix, the first analog beamforming matrix, and the first filtering vector of the grid point of the communication user terminal to obtain a first received signal of the receiving end; obtaining the reflectivity of each communication user terminal based on the first received signal of the receiving end in each first preset time slot; wherein, for the optimization problem of each communication user terminal, the optimization problem is constructed based on the minimum difference between the reflected signal intensity of the preset grid point and the reflected signal intensity of any grid point, and the upper limit of the transmit power.

2. The system according to claim 1, characterized in that, The reconfigurable holographic metasurface includes a planar waveguide, multiple feed sources disposed on the planar waveguide, and a metamaterial radiating element array disposed on the planar waveguide, wherein the metamaterial radiating element array includes multiple metamaterial radiating elements; The transmitter and the base station are connected by multiple first radio frequency links, and the multiple feeds of the transmitter and the multiple first radio frequency links have a one-to-one correspondence. The receiving end and the base station are connected by multiple second radio frequency links, and the multiple feeds of the receiving end and the multiple second radio frequency links have a one-to-one correspondence.

3. A joint communication and sensing method for a near-field holographic sensing integrated system, characterized in that, The near-field holographic sensing integrated system includes the near-field holographic sensing integrated system as described in any one of claims 1 or 2, and the joint communication and sensing method includes: The original signal is subjected to digital beamforming processing to obtain a digitally beamformed signal, wherein the original signal includes communication user signals and radar signals; The digital beamforming signal is sent to the transmitter so that the transmitter can obtain a sensing-integrated signal based on the digital beamforming signal and transmit the sensing-integrated signal to the target space, which is located in a preset near-field space. When the sensing-integrated signal is received by a communication user terminal in the target space, the base station establishes communication with the communication user terminal. The receiver acquires the reflected signal received by the receiving end, and obtains information about the sensing target and the communication user terminal based on the reflected signal. The reflected signal originates from the sensing target and / or the communication user terminal within the target space; the target space includes... Each grid point For integers greater than or equal to 1, obtaining the reflected signal received by the receiver includes calculating the first... The signal at the i-th grid point and the calculation of the i-th grid point The reflectance at each grid point, where... Less than or equal to ; The calculation of the first The reflectivity at each grid point includes: obtaining multiple first preset time slots based on the number of communication user terminals in the target space; for each first preset time slot, obtaining a first digital beamforming matrix, a first analog beamforming matrix, and a first filtering vector corresponding to each grid point of the communication user terminal by solving an optimization problem of the reflected signal of each communication user terminal; adjusting the beamforming matrix of the transmitting end, the beamforming matrix of the receiving end, and the filtering vector of the receiving end based on the first digital beamforming matrix, the first analog beamforming matrix, and the first filtering vector of the grid point of the communication user terminal to obtain a first received signal of the receiving end; obtaining the reflectivity of each communication user terminal based on the first received signal of the receiving end in each first preset time slot; wherein, for the optimization problem of each communication user terminal, the optimization problem is constructed based on the minimum difference between the reflected signal intensity of the preset grid point and the reflected signal intensity of any grid point, and the upper limit of the transmit power.

4. The method according to claim 3, characterized in that, The digital beamforming process for the original signal includes: Digital beamforming is performed on the communication user signal and radar signal to obtain... dimensional vector; The above dimensional vector fed into the transmitter A feed source, so that the transmitter is based on the... Using a 3D vector, simulated beamforming is performed to obtain an integrated sensing signal based on the communication user signal and radar signal.

5. The method according to claim 4, characterized in that, Acquire the reflected signal received by the receiver, including: According to the first The signal at the first grid point and the first The reflectivity at each grid point is used to calculate the reflected signal received by the receiver.

6. The method according to claim 5, characterized in that, Calculate the first according to the following formula. Signal at each grid point: in, Indicates the first The signal at each grid point Indicates communication user signals, Indicates communication user signal Digital beamforming matrix, Indicates radar signal, Indicates radar signal Digital beamforming matrix, It is the phase shift matrix of the signal propagating within the planar waveguide at the transmitting end. It is the simulated beamforming matrix at the transmitting end. It is from the transmitter to the first A transmission channel with 1 grid point.

7. The method according to claim 6, characterized in that, The reflected signal received by the receiver is calculated using the following formula: in, This indicates the signal received at the receiving end. It is the phase shift matrix of the transmitted signal propagating within the planar waveguide at the receiving end. It is the analog beamforming matrix at the receiving end. It is the first The transmission channel from each grid point to the receiver. For the first Reflectance at each grid point It is the noise at the metamaterial radiating unit of the receiving end.

8. The method according to claim 3, characterized in that, After obtaining the reflectivity of each communication user terminal, the method further includes: Multiple second preset time slots are obtained based on the difference between the total number of grid points in the target space and the number of grid points with communication user terminals; For each second preset time slot, by solving the optimization problem of the reflected signal of each target grid point, the second digital beamforming matrix, the second optimized analog beamforming matrix, and the second filtering vector corresponding to the target grid point are obtained, wherein the target grid point is the grid point where the non-communication user terminal is located; Based on the second digital beamforming matrix, the second optimized analog beamforming matrix, and the second filtering vector, the beamforming matrix of the transmitter, the beamforming matrix of the receiver, and the filtering vector of the receiver are adjusted to obtain the second received signal at the receiver. Based on the reflectivity of all communication user terminals, the signal reflected by the communication user in the second received signal is filtered, and the reflectivity of each target grid point is obtained based on the filtered second received signal. The optimization problem of the reflected signal of the target grid point is constructed based on the minimum difference between the reflected signal intensity of the preset grid point and the reflected signal intensity of any grid point, the upper limit of the transmission power, and the signal-to-interference-plus-noise ratio threshold of the communication user terminal.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method as described in any one of claims 3-8.

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