A target translation compensation and three-dimensional imaging method and system for a close-range millimeter wave MIMO radar

Abstract

This application provides a method and system for target translational compensation and three-dimensional imaging using a near-range millimeter-wave MIMO radar, enabling real-time three-dimensional imaging. The method includes: receiving echo data and motion velocity of a person under test; performing phase calibration on the echo data; determining the movement distance of the person under test within the acquisition time based on the motion velocity and the acquisition time required to acquire one frame of echo data; dividing the phase-calibrated echo data into blocks based on the movement distance and azimuth resolution; performing a two-dimensional Fourier transform and motion compensation processing on each block of echo data based on the motion velocity; performing a two-dimensional inverse Fourier transform on each processed block of echo data, and then coherently superimposing each block of echo data to obtain motion-compensated echo data; then superimposing the motion-compensated echo data to obtain motion-compensated echo data, and finally processing it based on the principle of stationary target three-dimensional imaging algorithm to obtain a three-dimensional image of the person under test.

Description

Technical Field

[0001] This application relates to the field of image imaging, specifically to a target translational compensation and three-dimensional imaging method and system for near-range millimeter-wave MIMO radar. Background Technology

[0002] Active millimeter-wave imaging technology can easily penetrate clothing and other concealed objects to image hidden items, providing the high-resolution images needed for reliable detection of hidden threats. Security inspection equipment based on active millimeter-wave imaging technology can detect hidden threats in both metallic and non-metallic objects, such as firearms, ceramic knives, plastics, liquid explosives, contraband, and narcotics. Furthermore, it emits non-ionizing radiation with low power, posing no harm to humans; compared to traditional manual searches, it offers advantages such as high efficiency and non-contact operation. Millimeter-wave imaging is now widely used for personnel security checks in airports, security checkpoints, and other related public or military areas.

[0003] The walking-through millimeter-wave security inspection system is based on SAR imaging technology, which combines multiple-input multiple-output (MIMO) sparse planar arrays with all-electric scanning and digital beamforming. Compared to fixed-position scanning millimeter-wave security inspection systems, this type of system uses high-speed all-electric scanning and real-time signal processing to scan and detect people walking through the imaging system, while simultaneously outputting real-time video 3D imaging and detection results. Because the imaging system can continuously receive scattered echo data frame by frame as the person moves, potential hidden threats can be seen from different angles; and if the system provides a high frame rate, hidden threats can be tracked in different frames, thus improving detection performance. Furthermore, this type of walking-through imaging system does not require the person to be in a specific position or posture; they only need to walk or stand on a conveyor to pass through the security equipment, improving the security inspection experience for the person and significantly increasing the system's throughput.

[0004] However, movement of the person being inspected during the imaging process in such systems can lead to a decrease in image quality and blurring. Therefore, how to compensate for the movement of the target to ensure real-time, high-quality imaging is a problem that needs to be solved. Summary of the Invention

[0005] This application provides a target translational compensation and three-dimensional imaging method and system for near-range millimeter-wave MIMO radar. It performs phase compensation on the echo of the translational target in the wavenumber domain, which can achieve complete compensation for the target translational motion. It also adopts a fast echo block compensation method to compensate for the block echo, which greatly improves the efficiency of three-dimensional imaging and realizes high-quality real-time three-dimensional imaging of the near-range active millimeter-wave security inspection system.

[0006] To achieve the above objectives, this application adopts the following technical solution:

[0007] In a first aspect, this application provides a target translational compensation and three-dimensional imaging method for near-range millimeter-wave MIMO radar, the method comprising:

[0008] It receives the echo data and movement speed of the person being tested, and performs phase calibration on the echo data from multi-station sampling to single-station sampling;

[0009] Based on the speed of movement and the acquisition time required to acquire one frame of echo data, the distance the person being measured moves within the acquisition time is determined.

[0010] Based on the motion distance and azimuth resolution, the phase-calibrated echo data is divided into blocks so that the target's motion distance during the acquisition time of each block of echo data cannot exceed the preset resolution unit, where the azimuth resolution is preset.

[0011] Based on the motion velocity, perform two-dimensional Fourier transform and motion compensation in the x and y directions on each piece of echo data;

[0012] Wavenumber domain analysis of each echo data block after two-dimensional Fourier transform and run-compensation. and Two-dimensional inverse Fourier transform of the direction;

[0013] Each echo data block after the two-dimensional inverse Fourier transform is coherently superimposed to obtain each echo data block after motion compensation;

[0014] Then, the motion-compensated echo data of each piece are superimposed to obtain the motion-compensated echo data of the tested person.

[0015] Based on the principle of three-dimensional imaging algorithm for stationary targets, the echo data after motion compensation of the tested person is processed to obtain two-dimensional images of each distance plane.

[0016] The two-dimensional images in each distance plane are traversed and synthesized to obtain a three-dimensional image of the person being tested.

[0017] Secondly, this application provides a target translational compensation and three-dimensional imaging system for a near-range millimeter-wave MIMO radar, the system comprising: a receiving module, a processing module, and a synthesis module;

[0018] The receiving module is used to receive the echo data and movement speed of the person being tested, and to perform phase calibration on the echo data from multi-station sampling to single-station sampling;

[0019] The processing module is used to determine the movement distance of the subject within the acquisition time based on the movement speed and the acquisition time required to acquire one frame of echo data; it is used to divide the phase-calibrated echo data into blocks based on the movement distance and azimuth resolution, ensuring that the target's movement distance within the acquisition time of each echo data block does not exceed a preset resolution unit, where the azimuth resolution is preset; it is used to perform two-dimensional Fourier transforms and motion compensation in the x and y directions for each echo data block based on the movement speed; and it is used to perform wavenumber domain analysis on each echo data block after two-dimensional Fourier transform and motion compensation. and The method is used to perform a two-dimensional inverse Fourier transform in the direction of motion compensation; to perform coherent superposition of each echo data after the two-dimensional inverse Fourier transform to obtain each echo data after motion compensation; and to superimpose each echo data after motion compensation to obtain the echo data after motion compensation of the tested person; and to process the echo data after motion compensation of the tested person based on the principle of three-dimensional imaging algorithm for stationary targets to obtain two-dimensional imaging of each distance plane.

[0020] The synthesis module is used to perform traversal synthesis processing on the two-dimensional images in each distance plane to obtain a three-dimensional image of the person being tested.

[0021] In this embodiment, phase compensation is performed on the echo of the translational target in the wavenumber domain, thereby achieving complete compensation for the target's translational motion. Furthermore, a fast echo block compensation method is used for block echo compensation, which significantly reduces the computational load of the compensation algorithm compared to compensating each equivalent phase center individually, thus greatly improving the efficiency of 3D imaging. In summary, the method of this application has high tolerance for errors in the motion information used in the compensation, good algorithm robustness, and can achieve high-quality real-time 3D imaging for close-range active millimeter-wave security inspection systems.

[0022] Other features and advantages of this application will be described in detail in the following detailed description section. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 A schematic flowchart illustrating the target translational compensation and three-dimensional imaging method for near-range millimeter-wave MIMO radar provided in this application embodiment;

[0025] Figure 2A schematic diagram of a target translational passage imaging system for a near-range millimeter-wave MIMO radar provided in this application embodiment;

[0026] Figure 3 This is a schematic diagram of echo segmentation for the fast echo segmentation wavenumber domain compensation method provided in the embodiments of this application. Detailed Implementation

[0027] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. At the same time, in the description of the embodiments of this application, the terms "first," "second," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0028] Figure 1 This is a flowchart illustrating the target translational compensation and three-dimensional imaging method for near-range millimeter-wave MIMO radar provided in the embodiments of this application.

[0029] The flowchart of the target translational compensation and three-dimensional imaging method of the short-range millimeter-wave MIMO radar is as follows:

[0030] Step S101: Receive the echo data and movement speed of the person being tested, and perform phase calibration on the echo data from multi-station sampling to single-station sampling.

[0031] It is understandable that this step involves receiving echo data from the millimeter-wave detection device to detect the person being tested, and receiving the movement speed of the person being tested from the distance sensor.

[0032] For example, such as Figure 2 As shown, assuming the subject moves along the x-axis at a speed v through the planar array imaging system, the movement of the human body during signal acquisition is considered as a whole translational motion.

[0033] Assume the scanning time required for the system to acquire (transmit and receive) one frame of signal is T. I Since this time is very short, approximately tens of milliseconds, the motion velocity v in the imaging processing of a single frame of signal can be considered a fixed value. For any point (x, y, z) on the human body surface, its reflection characteristic is defined as f(x, y, z). During the scanning process, the point corresponding to the nth equivalent phase center (n...) in the xy plane...x ,n y The scanning time of the transmit and receive unit of Z1 is T. n (T n <<T I Assuming there are N equivalent phase centers, n = 0, 1, ..., N-1, then the number of equivalent phase centers (n x ,n y The echo data of Z1) are

[0034]

[0035] in, Let be the wave number, and c be the electromagnetic wave propagation speed. Amplitude attenuation with distance is ignored. In equation (1), the exponent term represents the wave originating from point (n). x ,n y The near-range spherical wave of Z1 can be approximated as a superposition of multiple plane waves, according to the principle that spherical waves can be written as a superposition of multiple plane waves. The above equation can be written as:

[0036]

[0037] in, and The range of variation is (-2k, 2k).

[0038] As can be seen from equation (2), when the person being inspected moves, the echo data of each equivalent phase center has a coupled phase term related to its scanning time. This will result in wavenumber domain imaging plane compensation during the imaging process. Subsequently, the 3D image obtained by the inverse Fourier transform in the azimuth direction becomes out of focus and blurred. Similarly, when the person being inspected moves along the y and z directions, there is a coupling phase term. and These factors can all lead to different forms of defocus blur in the resulting 3D image. Therefore, phase calibration and motion compensation are required in the following steps.

[0039] It is understandable that, since the system uses a multi-station sampling mode with separate transmit and receive terminals, phase calibration of the echo data is required, switching from multi-station to single-station. Using the center of the imaging area as the calibration reference point, the calibrated data is...

[0040]

[0041] Among them, R u (n x ,n y R0(n, ω) represents the echo data of the reference point in multi-station mode. x ,n y ,ω) represents the echo data of the reference point in single-station mode, i.e.

[0042]

[0043] in, Location of the transmitting unit. Location of the receiving unit. For reference point location, This is the position of the phase center.

[0044] Step S102: Based on the movement speed and the acquisition time required to acquire one frame of echo data, determine the movement distance of the person being measured within the acquisition time.

[0045] For example, assuming the speed of the person being tested is 1.5 m / s and the scanning time required to acquire one frame of echo data is 50 ms, then the target's movement distance during this echo data acquisition process is 7.5 cm.

[0046] Step S103: Based on the motion distance and azimuth resolution, the phase-calibrated echo data is divided into blocks so that the target's motion distance during the acquisition time of each block of echo data cannot exceed the preset resolution unit, wherein the azimuth resolution is preset.

[0047] For example, when the azimuth resolution is preset to 5mm and the moving distance of the target does not exceed 1.5 resolution units, the imaging performance can remain constant.

[0048] According to step S101 above, the target's movement distance within 50 milliseconds is 7.5cm.

[0049] If the target moves 7.5 cm in 50 milliseconds, and each resolving unit is 5 mm in size, then the distance between 1.5 resolving units is 0.75 cm (1.5 × 5 mm).

[0050] Therefore, the motion distance of 7.5 cm cannot exceed 0.75 cm within each echo block. If we divide the echo into 10 blocks, the motion distance of each echo block is approximately 0.75 cm, ensuring that the motion distance within each echo data block does not exceed 1.5 resolution units.

[0051] To achieve greater accuracy and ensure the quality of the compensated image, it might be necessary to divide the echo into 16 blocks, such as... Figure 3 As shown, this allows for more precise compensation and reduces motion compensation errors.

[0052] Step S104: Based on the motion velocity, perform two-dimensional Fourier transform and motion compensation in the x and y directions on each piece of echo data.

[0053] It should be noted that a linear distance offset ΔR that varies with time is introduced for the target's motion. n =vTn In the case of the nth equivalent phase center (n) in the xy plane during the scanning process x ,n y The scan time for Z1 is T. n Assuming there are N equivalent phase centers, n = 0, 1, ..., N-1, then in equation (2) The term is a secondary phase that is related to both the scanning time and the position of the equivalent phase center. The distance the target moves is different for each spatial equivalent phase center.

[0054] The proposal suggests compensating for the target range phase at each scan time in the wavenumber domain using the echo from each equivalent phase center. Then, the compensated echoes are coherently superimposed to obtain new three-dimensional echo data for the entire scanning plane. The formula for the proposed compensation method is:

[0055]

[0056] In addition, the velocity of the person being tested is decomposed to obtain the velocities v in the x, y, and z directions. x v y v z Based on v x v y v z For each echo data block, perform two-dimensional Fourier transform and motion compensation in the x and y directions.

[0057] Corresponding to the example of step S101 above, performing a two-dimensional Fourier transform on the sampled data of each phase center along the (x,y) direction and performing corresponding motion compensation, we can obtain:

[0058]

[0059] Step S105: Perform wavenumber domain analysis on each echo data block after two-dimensional Fourier transform and run-compensation. and Two-dimensional inverse Fourier transform of the direction.

[0060] Step S106: Perform coherent superposition on each echo data block after the two-dimensional inverse Fourier transform to obtain each echo data block after motion compensation.

[0061] Corresponding to the example above, steps S105 and S106 specifically involve, along... A two-dimensional inverse Fourier transform is performed on the direction, and the data at each phase center are coherently superimposed to obtain each echo data block after motion compensation.

[0062]

[0063] Step S107: Then, the motion-compensated echo data of each piece are superimposed to obtain the motion-compensated echo data of the tested person.

[0064] Step S108: Based on the principle of three-dimensional imaging algorithm for stationary targets, the echo data after motion compensation of the person being tested is processed to obtain two-dimensional images of each distance plane.

[0065] In other words, by performing range-direction layering, imaging plane compensation, two-dimensional IFFT, and coherent superposition of each frequency point on the echo data after motion compensation of the tested person, two-dimensional images of each range plane are obtained, expressed by the formula:

[0066]

[0067] Among them, the above utilizes the dispersion relation of plane waves in free space or a homogeneous medium.

[0068] Step S109: Perform traversal synthesis processing on the two-dimensional images in each distance plane to obtain a three-dimensional image of the person being tested.

[0069] f(x,y,ω)=comp(f′(x,y,ω,z0),z0) (11)

[0070] Here, comp(f′,z0) represents the synthesis of the layered distance planes in the function f′.

[0071] In summary, this application's embodiments achieve complete compensation for the translational motion of the target by performing phase compensation on the echo of the translational target in the wavenumber domain. Furthermore, by employing a fast echo block compensation method, block echo compensation is performed, which significantly reduces the computational load of the compensation algorithm compared to compensating each equivalent phase center individually, thereby greatly improving the efficiency of 3D imaging. In conclusion, the method of this application has high tolerance for errors in the motion information used in the compensation, good algorithm robustness, and can achieve high-quality real-time 3D imaging for close-range active millimeter-wave security inspection systems.

[0072] The above combination Figures 1-3 This application provides a detailed description of the target translational compensation and three-dimensional imaging method for short-range millimeter-wave MIMO radar provided in its embodiments.

[0073] The following describes a target translational compensation and three-dimensional imaging system for a near-range millimeter-wave MIMO radar provided in this application embodiment. The system specifically includes a receiving module, a processing module, and a synthesis module.

[0074] The receiving module is used to receive the echo data and movement speed of the person being tested, and to perform phase calibration on the echo data from multi-station sampling to single-station sampling;

[0075] The processing module is used to determine the movement distance of the subject within the acquisition time based on the movement speed and the acquisition time required to acquire one frame of echo data; it is used to divide the phase-calibrated echo data into blocks based on the movement distance and azimuth resolution, ensuring that the target's movement distance within the acquisition time of each echo data block does not exceed a preset resolution unit, where the azimuth resolution is preset; it is used to perform two-dimensional Fourier transforms and motion compensation in the x and y directions for each echo data block based on the movement speed; and it is used to perform wavenumber domain analysis on each echo data block after two-dimensional Fourier transform and motion compensation. and The method is used to perform a two-dimensional inverse Fourier transform in the direction of motion compensation; to perform coherent superposition of each echo data after the two-dimensional inverse Fourier transform to obtain each echo data after motion compensation; and to superimpose each echo data after motion compensation to obtain the echo data after motion compensation of the tested person; and to process the echo data after motion compensation of the tested person based on the principle of three-dimensional imaging algorithm for stationary targets to obtain two-dimensional imaging of each distance plane.

[0076] The synthesis module is used to perform traversal synthesis processing on the two-dimensional images in each distance plane to obtain a three-dimensional image of the person being tested.

[0077] Optionally, the receiving module is used to receive the echo data and movement speed of the person being tested, including: the receiving module is used to receive the echo data of the person being tested obtained from the detection of the person being tested by the millimeter-wave detection device; and to receive the movement speed of the person being tested obtained from the detection of the person being tested by the distance sensor.

[0078] Optionally, the processing module is used to perform two-dimensional Fourier transforms and motion compensation in the x and y directions on each piece of echo data based on motion velocity, including:

[0079] The velocity is decomposed into its velocities in the x, y, and z directions, respectively. x v y v z ;

[0080] Based on v x v y v z For each echo data block, perform two-dimensional Fourier transform and motion compensation in the x and y directions.

[0081] Optionally, the processing module is used to process the echo data of the person under test after motion compensation based on the principle of three-dimensional imaging algorithm for stationary targets, to obtain two-dimensional images of each range plane, including:

[0082] The echo data after motion compensation of the tested person is processed by imaging region range layering, imaging plane compensation, two-dimensional IFFT and coherent superposition of each frequency point to obtain two-dimensional images of each range plane.

[0083] Furthermore, the specific implementation of the above system is basically similar to the method implementation, so the description is relatively simple. For relevant details, please refer to the description of the method implementation. Moreover, it should be noted that in the various modules of the system of this application, the components are logically divided according to the functions they are to perform. However, this application is not limited to this and can re-divide or combine the components as needed.

[0084] In another aspect, the present invention provides an electronic device for implementing the above-described integrated optical waveguide field sensor time-domain waveform reconstruction method. This electronic device is not limited to a terminal device or server within a system. The electronic device includes, but is not limited to, a memory and a processor. The memory stores a computer program, and the processor is configured to execute the steps of any of the above method embodiments via the computer program.

[0085] In another aspect, the present invention provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in various optional embodiments of the integrated optical waveguide field sensor time-domain waveform reconstruction method described above. The computer program is configured to execute the steps in any of the above method embodiments during runtime.

[0086] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than those shown in the embodiments and still achieve the desired result. Furthermore, the specific order or sequential order shown in the drawings is not necessarily required to achieve the desired result; in some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0087] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for target translational compensation and three-dimensional imaging in a short-range millimeter-wave MIMO radar, characterized in that, The method includes: Receive the echo data and movement speed of the person being tested, and perform phase calibration on the echo data from multi-station sampling to single-station sampling; Based on the movement speed and the acquisition time required to acquire one frame of the echo data, the movement distance of the person being tested within the acquisition time is determined; Based on the motion distance and azimuth resolution, the phase-calibrated echo data is divided into blocks, such that the target's motion distance cannot exceed a preset resolution unit within the acquisition time of each block of echo data, wherein the azimuth resolution is preset. Based on the motion speed, perform two-dimensional Fourier transform and motion compensation in the x and y directions on each piece of echo data; Wavenumber domain analysis was performed on each echo data block after the two-dimensional Fourier transform and runtime compensation. and Two-dimensional inverse Fourier transform of the direction; Each echo data block after the two-dimensional inverse Fourier transform is coherently superimposed to obtain each echo data block after motion compensation; Then, the motion-compensated echo data of each piece are superimposed to obtain the motion-compensated echo data of the person being tested. Based on the principle of three-dimensional imaging algorithm for stationary targets, the echo data of the person being measured after motion compensation is processed to obtain two-dimensional images of each distance plane. The two-dimensional images in each distance plane are traversed and synthesized to obtain a three-dimensional image of the person being tested.

2. The target translational compensation and three-dimensional imaging method for short-range millimeter-wave MIMO radar according to claim 1, characterized in that, The receiving of the echo data and movement speed of the person being tested includes: Receive echo data of the person being tested from a millimeter-wave detection device. The distance sensor detects the movement speed of the person being tested.

3. The target translational compensation and three-dimensional imaging method for short-range millimeter-wave MIMO radar according to claim 1, characterized in that, The step of performing two-dimensional Fourier transforms and motion compensation in the x and y directions on each piece of echo data based on the motion velocity includes: The velocity is decomposed into velocities v in the x, y, and z directions. x v y v z ; Based on the v x v y v z Each echo data block undergoes a two-dimensional Fourier transform in the x and y directions and motion compensation.

4. The target translational compensation and three-dimensional imaging method for short-range millimeter-wave MIMO radar according to claim 1, characterized in that, The method, based on the principle of stationary target three-dimensional imaging algorithm, processes the echo data of the tested person after motion compensation to obtain two-dimensional images of each range plane, including: The echo data of the subject after motion compensation is processed by imaging region range layering, imaging plane compensation, two-dimensional IFFT and coherent superposition of each frequency point to obtain two-dimensional imaging of each range plane.

5. A target translational compensation and three-dimensional imaging system for a short-range millimeter-wave MIMO radar, characterized in that, The system includes: The receiving module is used to receive the echo data and movement speed of the person being tested, and to perform phase calibration on the echo data from multi-station sampling to single-station sampling; The processing module is configured to: determine the movement distance of the person being measured within the acquisition time based on the movement speed and the acquisition time required to acquire one frame of the echo data; divide the phase-calibrated echo data into blocks based on the movement distance and azimuth resolution, ensuring that the target's movement distance within the acquisition time of each echo data block does not exceed a preset resolution unit, wherein the azimuth resolution is preset; perform two-dimensional Fourier transforms and motion compensation in the x and y directions on each echo data block based on the movement speed; and perform wavenumber domain analysis on each echo data block after the two-dimensional Fourier transform and motion compensation. and The method includes: performing a two-dimensional inverse Fourier transform in the direction of motion compensation; performing coherent superposition on each echo data block after the two-dimensional inverse Fourier transform to obtain each echo data block after motion compensation; and superimposing each echo data block after motion compensation to obtain the motion-compensated echo data of the person under test; and processing the motion-compensated echo data of the person under test based on the principle of three-dimensional imaging algorithm for stationary targets to obtain two-dimensional imaging of each distance plane. The synthesis module is used to perform traversal synthesis processing on the two-dimensional images in each distance plane to obtain a three-dimensional image of the person being tested.

6. The target translational compensation and three-dimensional imaging system for short-range millimeter-wave MIMO radar according to claim 5, characterized in that, The receiving module is used to receive the echo data and movement speed of the person being tested, including: The receiving module is used to receive echo data of the person being tested obtained from the millimeter-wave detection device; and to receive the movement speed of the person being tested obtained from the distance sensor.

7. The target translational compensation and three-dimensional imaging system for short-range millimeter-wave MIMO radar according to claim 5, characterized in that, The processing module is used to perform two-dimensional Fourier transforms and motion compensation in the x and y directions on each piece of echo data based on the motion speed, including: The velocity is decomposed into velocities v in the x, y, and z directions. x v y v z ; Based on the v x v y v z Each echo data block undergoes a two-dimensional Fourier transform in the x and y directions and motion compensation.

8. The target translational compensation and three-dimensional imaging system for short-range millimeter-wave MIMO radar according to claim 5, characterized in that, The processing module is used to process the motion-compensated echo data of the person being measured based on the principle of a three-dimensional imaging algorithm for stationary targets, to obtain two-dimensional images of each range plane, including: The echo data of the subject after motion compensation is processed by imaging region range layering, imaging plane compensation, two-dimensional IFFT and coherent superposition of each frequency point to obtain two-dimensional imaging of each range plane.

Images