Target inter-micro-doppler crosstalk suppression method, radar, device and storage medium

Abstract

The application discloses a target inter-micro-Doppler crosstalk suppression method, radar, device and storage medium, the method comprises the following steps: performing pulse compression, clutter suppression and imaging on a radar original echo signal; performing target detection clustering and tracking on the imaging result to obtain position information of the target; combining the imaging result and the position information of the target to extract a slow-time data sequence of the target; performing time-frequency transformation and detection on the slow-time data sequence of the target to obtain a micro-Doppler spectrum result of the target; selecting a reference point, combining the imaging result and the slow-time data sequence of the reference point to extract a time-frequency diagram of the reference point; comparing and detecting the time-frequency diagram of the reference point and the micro-Doppler spectrum result of the target; and according to the comparison and detection result, suppressing crosstalk spectrum information in the micro-Doppler spectrum result of the target to obtain a micro-Doppler spectrum. The application solves the problem of micro-Doppler spectrum crosstalk in multi-target scenes and fixed false target scenes.

Description

Technical Field

[0001] This invention belongs to the field of radar technology, and particularly relates to a method, radar, device and storage medium for suppressing micro-Doppler crosstalk between targets. Background Technology

[0002] For radar, target motion generates the Doppler effect, and different motion patterns will produce Doppler information with different variation characteristics. In particular, when the target exhibits minute movements, the radar echo will display a micro-Doppler effect, meaning it is subject to time-varying frequency modulation. Target minute movements include reciprocating motions such as vibration, rotation, and precession. The target's micro-Doppler contains unique motion information and can serve as an effective feature for target identification.

[0003] However, in multi-target scenarios or scenarios with strong false targets, micro-Doppler crosstalk between targets becomes severe, especially for through-wall radar systems. The motion states of targets detected by through-wall radar often differ significantly; the echo signal energy of a moving target can differ by several times from that of a stationary target. In such cases, the micro-Doppler spectrum of a weak echo target often contains the micro-Doppler spectrum of a target with a strong echo. Furthermore, in through-wall detection applications, there are often false targets with strong echoes caused by electrical equipment, such as fans and air conditioners. These factors severely affect the effectiveness and reliability of the proposed target micro-Doppler features, reducing the accuracy of target detection.

[0004] Existing micro-Doppler feature extraction techniques are often designed for single-target scenarios or do not consider the crosstalk between strong echo signal targets and weak echo signal targets in the micro-Doppler spectrum. When the echo energies of two nearby targets differ significantly, the effectiveness of the extracted micro-Doppler features of the weak echo signal target will be severely affected. Summary of the Invention

[0005] The purpose of this invention is to provide a method, radar, device, and storage medium for suppressing micro-Doppler crosstalk between targets, so as to solve the problem of micro-Doppler spectrum crosstalk in multi-target scenarios and fixed false target scenarios.

[0006] This invention solves the above-mentioned technical problems through the following technical solution: a method for suppressing inter-target micro-Doppler crosstalk, the suppression method comprising the following steps: Acquire the raw echo signals from each radar channel; The original echo signal is subjected to pulse compression processing, clutter suppression processing, and imaging processing to obtain scene imaging results; Target detection, clustering, and tracking are performed on the scene imaging results to obtain the target's location information; By combining the scene imaging results with the target's location information, a slow-time data sequence of the target is extracted; A time-frequency transformation is performed on the slow-time data sequence of the target to obtain the time-frequency map of the target; The time-frequency map of the target is detected to obtain the target's micro-Doppler spectrum. Select a reference point based on the target's location information; By combining the scene imaging results with the reference point, the slow-time data sequence of the reference point is extracted; Perform time-frequency transformation on the slow-time data sequence of the reference point to obtain the time-frequency map of the reference point; The time-frequency plot of the reference point is compared with the micro-Doppler spectrum of the target. Based on the time-frequency diagram comparison detection results, the crosstalk spectrum information in the micro-Doppler spectrum of the target is suppressed to obtain the micro-Doppler spectrum.

[0007] Furthermore, the specific formula for extracting the slow-time data sequence of the target is as follows: in, Indicates the first Slow-time data sequences of several targets; Indicates the first At a slow moment, the radar tracking output... Location information of each target The amplitude and phase data of the corresponding scene imaging results.

[0008] Furthermore, a short-time Fourier transform is applied to the slow-time data sequence of the target to perform a time-frequency transformation, resulting in the target's time-frequency map. The specific formula is as follows: in, Indicates frequency index, This represents the slow-time index after the short-time Fourier transform. Indicates the first The first goal in The first moment of slow time Amplitude and phase data at each frequency point; Indicates the first Slow-time data sequence of a target Indicates the pulse label or the slow time label before the short-time Fourier transform; Represents a Gaussian window function; Indicates the length of the window; Indicates the imaginary part.

[0009] Furthermore, the time-frequency graph of the target is detected using an ordered statistical constant false alarm rate (CFAR) detection method.

[0010] Furthermore, based on the target's location information, a reference point is selected from the points represented by the following formula: in, Represents the set of reference points. Indicates the protection radius. Indicates the first Location information of each target Indicates the first Distance to each target to the cell index, Indicates the first The orientation cell index of the target. Indicates a reference point. This represents a dataset of positive integers.

[0011] Furthermore, the reference point is specifically: in, This represents the set of selected reference points.

[0012] Furthermore, the specific formula for time-frequency map comparison detection between the time-frequency map of the reference point and the micro-Doppler spectrum of the target is as follows: in, This indicates the results of the time-frequency graph comparison detection. Indicates the first The first goal in The first moment of slow time At each frequency point, its amplitude is greater than that of the first frequency point. The magnitude of each reference point at the corresponding location, Indicates the first The first goal in The first moment of slow time At each frequency point, its amplitude is less than or equal to the first frequency point. The magnitude of each reference point at the corresponding location; Indicates the number of tests conducted. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; Indicates the first The reference point at the ... The first moment of slow time Amplitude and phase data at each frequency point.

[0013] Furthermore, based on the time-frequency diagram comparison detection results, the specific formula for suppressing crosstalk spectrum information in the micro-Doppler spectrum results of the target is as follows: in, The first digit represents the crosstalk spectrum information after suppression. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; Indicates the number of tests conducted. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; This indicates the results of the time-frequency graph comparison detection. Indicates the number of reference points selected. This represents an empirical constant.

[0014] Based on the same concept, the present invention also provides a through-wall radar, the through-wall radar comprising: The transmitting module is used to generate transmitted wave signals; The receiving module is used to receive the original echo signal, which is the signal that is scattered back after the transmitted wave signal is sent to the target; Signal processor, used for: The original echo signal is subjected to pulse compression processing, clutter suppression processing, and imaging processing to obtain scene imaging results; Target detection, clustering, and tracking are performed on the scene imaging results to obtain the target's location information; By combining the scene imaging results with the target's location information, a slow-time data sequence of the target is extracted; A time-frequency transformation is performed on the slow-time data sequence of the target to obtain the time-frequency map of the target; The time-frequency map of the target is detected to obtain the target's micro-Doppler spectrum. Select a reference point based on the target's location information; By combining the scene imaging results with the reference point, the slow-time data sequence of the reference point is extracted; Perform time-frequency transformation on the slow-time data sequence of the reference point to obtain the time-frequency map of the reference point; The time-frequency plot of the reference point is compared with the micro-Doppler spectrum of the target. Based on the time-frequency diagram comparison detection results, the crosstalk spectrum information in the micro-Doppler spectrum of the target is suppressed to obtain the micro-Doppler spectrum.

[0015] Based on the same concept, the present invention also provides a terminal device, the terminal device comprising: Memory, used to store computer programs; A processor is configured to implement the target-to-target micro-Doppler crosstalk suppression method as described above when executing the computer program.

[0016] Based on the same concept, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the inter-target micro-Doppler crosstalk suppression method as described above.

[0017] Beneficial effects Compared with the prior art, the advantages of the present invention are as follows: This invention extracts the target echo signal by performing clutter suppression and imaging processing on the acquired multi-channel echo signals. Based on this, the time-frequency spectrum of the reference point is compared with the time-frequency spectrum of the target echo signal, thereby effectively filtering out crosstalk spectrum in the micro-Doppler features of weak echo signal targets. This effectively improves the effectiveness of the target micro-Doppler spectrum structure and solves the problem of micro-Doppler spectrum crosstalk in multi-target scenes and fixed false target scenes. Attached Figure Description

[0018] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only one embodiment of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of the inter-target micro-Doppler crosstalk suppression method in an embodiment of the present invention; Figure 2 This is a two-dimensional imaging result image of the scene in an embodiment of the present invention; Figure 3 This is the time-frequency spectrum of a weak target in an embodiment of the present invention; Figure 4 This is the time-frequency spectrum of a strong target in an embodiment of the present invention; Figure 5 This is the time-frequency spectrum result of weak target detection output in this embodiment of the invention; Figure 6 This is the time-frequency spectrum result of the weak target after crosstalk suppression processing in this embodiment of the invention. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] The technical solutions of this application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0022] Example 1 like Figure 1 As shown in the figure, the inter-target micro-Doppler crosstalk suppression method provided by the present invention includes the following steps: Step S1: Acquire the raw echo signals of each radar channel; Step S2: Perform pulse compression, clutter suppression, and imaging processing on the original echo signal to obtain the scene imaging result; Step S3: Perform target detection, clustering, and tracking on the scene imaging results to obtain the target's location information; Step S4: Combine the scene imaging results with the target's location information to extract the target's slow-time data sequence; Step S5: Perform time-frequency transformation on the slow-time data sequence of the target to obtain the time-frequency map of the target; Step S6: Detect the time-frequency map of the target to obtain the micro-Doppler spectrum of the target; Step S7: Select a reference point based on the target's location information; Step S8: Combine the scene imaging results with the reference point to extract the slow-time data sequence of the reference point; Step S9: Perform time-frequency transformation on the slow-time data sequence of the reference point to obtain the time-frequency diagram of the reference point; Step S10: Compare and detect the time-frequency map of the reference point with the micro-Doppler spectrum of the target. Step S11: Based on the time-frequency comparison detection results, suppress the crosstalk spectrum information in the target's micro-Doppler spectrum to obtain the micro-Doppler spectrum.

[0023] In step S2, pulse compression, clutter suppression, and imaging processing are all existing technologies. For example, windowed Fourier transform can be used to perform pulse compression processing on the original echo signal. Specifically, this includes: windowing the original echo signal along the fast time dimension; and performing discrete Fourier transform on each segment of the windowed signal to achieve pulse compression.

[0024] For clutter suppression, filters can be designed to suppress clutter in the pulse-compressed echo signal. Then, based on the clutter suppression output, imaging processing can be performed to obtain the radar-detected scene image. Figure 2 As shown, it can be represented as ,in, Indicates the number of cells in the distance direction. Indicates the number of cells in the direction of orientation. This represents the total number of pulses in the acquired signal (i.e., the maximum slow-time index). Radar target detection, clustering, and tracking techniques are used to analyze the scene imaging results. By performing target detection, clustering, and tracking, the target's location information can be obtained. ,in, Indicates the distance to the cell index. Indicates the direction of the cell index. Indicates the target label. This indicates the pulse label or the slow time label before the short-time Fourier transform.

[0025] In step S4, based on the target's location information Combined with scene imaging results The slow-time data sequence of the target is extracted using equation (1): (1) in, Indicates the first The slow-time data sequence of the nth target, i.e., the nth target A dataset of targets along the slow time dimension; Indicates the first At a slow moment, the radar tracking output... Location information of each target The amplitude and phase data of the corresponding scene imaging results.

[0026] In step S5, the slow-time data sequence of the target is processed using a short-time Fourier transform. Perform time-frequency transformation to obtain the target's time-frequency map (e.g., ...). Figure 3 and Figure 4 As shown), the specific formula is: (2) in, Indicates frequency index, This represents the slow-time index after the short-time Fourier transform. Indicates the first The first goal in The first moment of slow time Amplitude and phase data at each frequency point, i.e., the time-frequency diagram of the target; Indicates the pulse label or the slow time label before the short-time Fourier transform; Represents a Gaussian window function; Indicates the length of the window; Indicates the imaginary part.

[0027] In step S6, the ordered statistical constant false alarm rate (OS-CFAR) method is used to detect the target's time-frequency map, thus completing the detection of the time-frequency map structure. (3) in, This represents the time-frequency diagram obtained through equation (2). This indicates the output of the OS-CFAR detection. The time-frequency graph of the target. When the... When a target with a strong echo signal exists near the target, the output of the OS-CFAR detection is the first... The time-frequency map of a target often contains micro-Doppler crosstalk information mixed with strong echo signals. That is, the target's micro-Doppler spectrum result is obtained by performing OS-CFAR detection on the target's time-frequency map (the target's time-frequency map contains micro-Doppler crosstalk information).

[0028] To compare the detection results with the target's micro-Doppler spectrum and filter out micro-Doppler crosstalk information from targets with weak echo signals, the target's location information is used. Select a reference point from the point represented by equation (4): (4) in, Represents the set of reference points. This indicates the protection radius selected from the reference point. Indicates a reference point. This represents a dataset of positive integers. The protection radius selected from the reference point. The value of is an empirical constant greater than or equal to 2.

[0029] While ensuring sufficient computational resources, the selection of reference points should cover as many different angles as possible (here, the angle refers to the target's position information). (The area within 360° of the center). In this embodiment, four reference points are selected, specifically: (5) in, This represents the selected set of reference points, i.e., the first set of reference points. The set of reference points used at each moment.

[0030] Extracting the slow-time data sequences of each reference point is similar to extracting the slow-time data sequences of the target. The slow-time data sequence of a reference point can be represented as: (6) in, Indicates the first Slow-time data sequences at reference points; Indicates the first The slowest moment in time, the first Reference points The amplitude and phase data of the corresponding scene imaging results. Similarly, for the slow-time data sequence of the reference point, the same applies to equation (2). Perform time-frequency transformation to obtain the time-frequency diagram of the reference point. .

[0031] In step S10, the specific formula for comparing the time-frequency map of the reference point with the micro-Doppler spectrum of the target is as follows: (7) in, This indicates the results of the time-frequency graph comparison detection. Indicates the first The first goal in The first moment of slow time At each frequency point, its amplitude is greater than that of the first frequency point. The magnitude of each reference point at the corresponding location, Indicates the first The first goal in The first moment of slow time At each frequency point, its amplitude is less than or equal to the first frequency point. The magnitude of each reference point at the corresponding location; This indicates the number of OS-CFAR tests performed. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; Indicates the first The reference point at the ... The first moment of slow time Amplitude and phase data at each frequency point.

[0032] In step S11, crosstalk spectral information in the target's micro-Doppler spectrum is suppressed using equation (8), thus suppressing the result (e.g., Figure 5 and Figure 6 As shown below: (8) in, The first digit represents the crosstalk spectrum information after suppression. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; This indicates the results of the time-frequency graph comparison detection. Indicates the number of reference points selected. This represents an empirical constant.

[0033] This invention extracts the target echo signal by performing clutter suppression and imaging processing on the acquired multi-channel echo signals. Based on this, the time-frequency spectrum of a reference point is compared with the time-frequency spectrum of the target echo signal, effectively filtering out crosstalk in the micro-Doppler features of weak echo signal targets. This significantly improves the effectiveness of the target micro-Doppler spectrum structure and solves the problem of micro-Doppler spectrum crosstalk in multi-target and fixed false target scenarios. This invention detects crosstalk information in the target micro-Doppler spectrum and then filters it out using certain rules, improving the purity of the target micro-Doppler feature spectrum and greatly enhancing the reliability of the weak echo signal target micro-Doppler spectrum features. This significantly improves the quality of the extracted weak target Doppler feature spectrum in multi-target and strong echo false target scenarios.

[0034] Example 2 An embodiment of the present invention provides a through-wall radar including a transmitting module, a receiving module, and a signal processor.

[0035] The transmitting module generates the transmitted wave signal; the receiving module receives the raw echo signal, which is the signal scattered back after the transmitted wave signal is sent to the target. The signal processor performs pulse compression, clutter suppression, and imaging processing on the raw echo signal to obtain the scene imaging result. ; Scene imaging results Target detection, clustering, and tracking are performed to obtain the target's location information. Combined with scene imaging results Location information of the target Extract the target's slow-time data sequence (as in formula (1)); slow-time data sequence of the target Perform time-frequency transformation to obtain the target's time-frequency map. (as in formula (2)); time-frequency diagram of the target The detection was performed, and the micro-Doppler spectrum of the target was obtained. (as in formula (3)); based on the target's location information Select reference points (such as formulas (4) and (5)); combine with scene imaging results Extract the slow-time data sequence from the reference point. (as in formula (6)); for slow-time data sequences at the reference point Perform time-frequency transformation to obtain the time-frequency diagram of the reference point. ; Time-frequency diagram of the reference point The time-frequency graph of the target is compared with the micro-Doppler spectrum of the target (as shown in formula (7)); the results of the time-frequency graph comparison are used for detection. The crosstalk spectrum information in the micro-Doppler spectrum of the target is suppressed (as in formula (8)) to obtain the micro-Doppler spectrum.

[0036] Example 3 This invention also provides a terminal device, which includes a processor and a memory storing a computer program, wherein the processor is configured to implement the target-to-target micro-Doppler crosstalk suppression method as described above when executing the computer program.

[0037] Although not shown, the terminal device includes a processor that can perform various appropriate operations and processes based on programs and / or data stored in read-only memory (ROM) or loaded from a storage portion into random access memory (RAM). The processor can be a multi-core processor or may contain multiple processors. In some embodiments, the processor may include a general-purpose main processor and one or more specialized coprocessors, such as a central processing unit, graphics processing unit (GPU), neural network processor (NPU), digital signal processor (DSP), etc. Various programs and data required for the operation of the terminal device are also stored in the RAM. The processor, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0038] The processor and memory described above are used together to execute programs stored in the memory. When the program is executed by a computer, it can implement the methods, steps, or functions described in the above embodiments.

[0039] Although not shown, embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the inter-target micro-Doppler crosstalk suppression method as described above.

[0040] Storage media in embodiments of the present invention include articles that are permanent or non-permanent, removable or non-removable, and can store information by any method or technology. Examples of storage media 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 memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information that can be accessed by a computing device.

[0041] The above description only discloses specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or modifications that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for inter-target micro-Doppler crosstalk suppression, characterized in that, The suppression method includes the following steps: Acquire the raw echo signals from each radar channel; The original echo signal is subjected to pulse compression processing, clutter suppression processing, and imaging processing to obtain scene imaging results; Target detection, clustering, and tracking are performed on the scene imaging results to obtain the target's location information; By combining the scene imaging results with the target's location information, a slow-time data sequence of the target is extracted; A time-frequency transformation is performed on the slow-time data sequence of the target to obtain the time-frequency map of the target; The time-frequency map of the target is detected to obtain the target's micro-Doppler spectrum. Select a reference point based on the target's location information; By combining the scene imaging results with the reference point, the slow-time data sequence of the reference point is extracted; Perform time-frequency transformation on the slow-time data sequence of the reference point to obtain the time-frequency map of the reference point; The time-frequency plot of the reference point is compared with the micro-Doppler spectrum of the target. Based on the time-frequency diagram comparison detection results, the crosstalk spectrum information in the micro-Doppler spectrum of the target is suppressed to obtain the micro-Doppler spectrum; Based on the target's location information, a reference point is selected from the point represented by the following formula: in, Represents the set of reference points. Indicates the protection radius. Indicates the first Location information of each target Indicates the first Distance to each target to the cell index, Indicates the first The orientation cell index of the target. Indicates a reference point. This represents a dataset of positive integers.

2. The method for suppressing inter-target micro-Doppler crosstalk according to claim 1, characterized in that, The specific formula for extracting the slow-time data sequence of the target is as follows: in, Indicates the first Slow-time data sequences of several targets; Indicates the first At a slow moment, the radar tracking output... Location information of each target The amplitude and phase data of the corresponding scene imaging results.

3. The method for suppressing inter-target micro-Doppler crosstalk according to claim 1, characterized in that, The target's slow-time data sequence is subjected to a time-frequency transformation using a short-time Fourier transform to obtain the target's time-frequency map. The specific formula is as follows: in, Indicates frequency index, This represents the slow-time index after the short-time Fourier transform. Indicates the first The first goal in The first moment of slow time Amplitude and phase data at each frequency point; Indicates the first Slow-time data sequence of a target Indicates the pulse label or the slow time label before the short-time Fourier transform; Represents a Gaussian window function; Indicates the length of the window; Indicates the imaginary part.

4. The method for suppressing inter-target micro-Doppler crosstalk according to claim 1, characterized in that, The reference point is specifically: in, This represents the set of selected reference points.

5. The method for suppressing inter-target micro-Doppler crosstalk according to claim 1, characterized in that, The specific formula for comparing the time-frequency map of the reference point with the micro-Doppler spectrum of the target is as follows: in, This indicates the results of the time-frequency graph comparison detection. Indicates the first The first goal in The first moment of slow time At each frequency point, its amplitude is greater than that of the first frequency point. The magnitude of each reference point at the corresponding location, Indicates the first The first goal in The first moment of slow time At each frequency point, its amplitude is less than or equal to the first frequency point. The magnitude of each reference point at the corresponding location; Indicates the number of tests conducted. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; Indicates the first The reference point at the ... The first moment of slow time Amplitude and phase data at each frequency point.

6. The method for suppressing inter-target micro-Doppler crosstalk according to any one of claims 1 to 5, characterized in that, Based on the time-frequency diagram comparison detection results, the specific formula for suppressing crosstalk spectrum information in the micro-Doppler spectrum results of the target is as follows: in, The first digit represents the crosstalk spectrum information after suppression. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; Indicates the number of tests conducted. The first goal in The first moment of slow time Amplitude and phase data at each frequency point; This indicates the results of the time-frequency graph comparison detection. Indicates the number of reference points selected. This represents an empirical constant.

7. A through-wall radar, characterized in that, The through-wall radar includes: The transmitting module is used to generate transmitted wave signals; The receiving module is used to receive the original echo signal, which is the signal that is scattered back after the transmitted wave signal is sent to the target; Signal processor, used for: The original echo signal is subjected to pulse compression processing, clutter suppression processing, and imaging processing to obtain scene imaging results; Target detection, clustering, and tracking are performed on the scene imaging results to obtain the target's location information; By combining the scene imaging results with the target's location information, a slow-time data sequence of the target is extracted; A time-frequency transformation is performed on the slow-time data sequence of the target to obtain the time-frequency map of the target; The time-frequency map of the target is detected to obtain the target's micro-Doppler spectrum. Select a reference point based on the target's location information; By combining the scene imaging results with the reference point, the slow-time data sequence of the reference point is extracted; Perform time-frequency transformation on the slow-time data sequence of the reference point to obtain the time-frequency map of the reference point; The time-frequency plot of the reference point is compared with the micro-Doppler spectrum of the target. Based on the time-frequency diagram comparison detection results, the crosstalk spectrum information in the micro-Doppler spectrum of the target is suppressed to obtain the micro-Doppler spectrum; Based on the target's location information, a reference point is selected from the point represented by the following formula: in, Represents the set of reference points. Indicates the protection radius. Indicates the first Location information of each target Indicates the first Distance to each target to the cell index, Indicates the first The orientation cell index of the target. Indicates a reference point. This represents a dataset of positive integers.

8. A terminal device, characterized in that, The terminal device includes: Memory, used to store computer programs; A processor, configured to implement the inter-target micro-Doppler crosstalk suppression method as described in any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by the processor, it implements the inter-target micro-Doppler crosstalk suppression method as described in any one of claims 1 to 6.

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