Radar measurement method, device, equipment, medium and product

Abstract

The invention discloses a radar measurement method, device and equipment, a medium and a product, and relates to the technical field of radar signal processing. According to the method, a space angle is divided into a main lobe area and a side lobe area; determining a phase modulation strategy of twice observation of the radar; the phase modulation strategy comprises the steps that phases of a main lobe area are kept consistent in two observations, and the phase difference of a side lobe area is 180 degrees; according to a phase modulation strategy, determining a directional diagram of expected radiation of the array antenna in two times of observation, and optimizing a unit excitation weighting vector in two times of observation to obtain an optimized value of the unit excitation weighting vector; according to the optimization value, performing phase modulation on a transmitting signal of the array antenna; and coherent superposition is carried out on echo signals reflected by the target and received by the radar in two times of observation. On the premise that the array size is not changed, the anti-interference capability and the spatial resolution of the radar are remarkably improved, and the monitoring precision of the radar on parameters such as distance, speed, deformation and angle is effectively improved.

Description

Technical Field

[0001] This application relates to the field of radar signal processing technology, and in particular to a radar measurement method, apparatus, equipment, medium, and product. Background Technology

[0002] In radar measurements, suppressing sidelobe interference can reduce the masking of target signals by interfering signals, improving the sensitivity and accuracy of target detection. Traditional array radars primarily rely on low sidelobe design to suppress sidelobe interference. However, under a fixed aperture constraint, there is a contradiction between low sidelobe and narrow main lobe: reducing the sidelobe level leads to main lobe beambreading, degrading spatial resolution. In practical engineering, increasing the array aperture often balances both, but this increases system cost and physical size. Furthermore, the scattered echoes from sidelobes adjacent to the main lobe are similar to the main lobe echo in terms of range, angle, and other dimensions, making interference difficult to separate. For example, in applications such as slope radar, there are many targets with similar scattering characteristics distributed close to each other in the area illuminated by the adjacent main lobe. Traditional resolution definitions based on a 3dB beamwidth are insufficient to distinguish these targets, resulting in severe main peak tail interference in the one-dimensional image. Moreover, the adjacent tail generated by the sidelobe echo cannot be filtered out by the range gate, severely affecting radar measurement accuracy. Therefore, there is an urgent need for a radar measurement method that can overcome the bottlenecks in resolution and anti-interference performance without changing the array size, and improve the radar's monitoring accuracy of parameters such as distance, velocity, deformation and angle. Summary of the Invention

[0003] The purpose of this application is to provide a radar measurement method, apparatus, equipment, medium, and product that can significantly improve radar anti-interference capability and spatial resolution without changing the array size.

[0004] To achieve the above objectives, this application provides the following solution.

[0005] In a first aspect, this application provides a radar measurement method, comprising: dividing a spatial angle into a main lobe region and a side lobe region; determining a phase modulation strategy for two radar observations; the phase modulation strategy comprising maintaining the phase of the main lobe region in the two observations at a constant phase, and the phase of the side lobe region differing by 180°. ° According to the phase modulation strategy, the radiation pattern of the array antenna in the two observations is determined; according to the radiation pattern of the array antenna in the two observations, the unit excitation weighting vector of the two observations is optimized to obtain the optimized value of the unit excitation weighting vector of the two observations; according to the optimized value of the unit excitation weighting vector of the two observations, the transmitted signal of the array antenna is phase modulated and transmitted to the target; the echo signals reflected by the target received by the radar in the two observations are coherently superimposed to obtain the coherently superimposed echo signal of the target.

[0006] Secondly, this application provides a radar measurement device, including: a region division module, a strategy determination module, a radiation pattern determination module, an optimization module, a phase modulation module, and a coherent superposition module.

[0007] The region division module is used to divide the spatial angle into main lobe region and side lobe region; the strategy determination module is used to determine the phase modulation strategy for two radar observations; the phase modulation strategy includes keeping the phase of the main lobe region consistent in both observations, and the phase of the side lobe region differing by 180°. ° The system includes: a radiation pattern determination module for determining the radiation pattern of the array antenna in two observations based on the phase modulation strategy; an optimization module for optimizing the unit excitation weighting vector of the two observations based on the radiation pattern of the array antenna in two observations, and obtaining the optimized value of the unit excitation weighting vector of the two observations; a phase modulation module for performing phase modulation on the transmitted signal of the array antenna according to the optimized value of the unit excitation weighting vector of the two observations, and transmitting it to the target; and a coherent superposition module for coherently superimposing the echo signals reflected from the target received by the radar in the two observations, and obtaining the coherently superimposed echo signal of the target.

[0008] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the radar measurement method described above.

[0009] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the radar measurement method described above.

[0010] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the radar measurement method described above.

[0011] According to the specific embodiments provided in this application, this application has the following technical effects.

[0012] This application provides a radar measurement method, apparatus, equipment, medium, and product, which divides the main lobe region into main lobe and side lobe regions, maintains phase consistency for the main lobe region in two observations, and applies a 180° angle to the side lobe region. ° Phase difference, through phase modulation and coherent synthesis of the radiation patterns from two observations, enhances the signal in the main lobe region and cancels interference in the side lobe region, avoiding the resolution degradation problem caused by main lobe broadening in traditional methods. This enables a significant improvement in radar anti-interference capability and spatial resolution without changing the array size, thereby enhancing the radar's monitoring accuracy for range, velocity, deformation, and angle. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the embodiments will be briefly introduced below. Obviously, the 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.

[0014] Figure 1 This is a schematic flowchart of a radar measurement method provided in an embodiment of this application.

[0015] Figure 2 This is a schematic diagram of a linear array example and beam direction angle provided for another embodiment of this application.

[0016] Figure 3 This is a schematic diagram illustrating the definition of the main lobe region and the side lobe region in another embodiment of this application.

[0017] Figure 4 This is a schematic diagram of the optimized array aperture excitation amplitude distribution provided in another embodiment of this application.

[0018] Figure 5 A schematic diagram of the optimized array aperture excitation phase distribution provided in another embodiment of this application.

[0019] Figure 6 This is a schematic diagram of the optimized array amplitude pattern provided in another embodiment of this application.

[0020] Figure 7 This is a schematic diagram of the optimized array pattern phase difference provided in another embodiment of this application.

[0021] Figure 8 This is a schematic diagram comparing a direct test one-dimensional image with a phase-modulated coherent one-dimensional image, provided in another embodiment of this application.

[0022] Figure 9 This is a schematic diagram of the functional modules of a radar measuring device provided in an embodiment of this application.

[0023] Figure 10 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0024] 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 some embodiments of this application, and not all 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.

[0025] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] In one exemplary embodiment, such as Figure 1 As shown, a radar measurement method is provided, including the following steps 101 to 106.

[0027] Step 101: Divide the spatial angle into the main lobe region and the side lobe region.

[0028] Step 102: Determine the phase modulation strategy for the two radar observations; the phase modulation strategy includes maintaining the same phase in the main lobe region and having a 180° phase difference in the side lobe region during the two observations. ° .

[0029] Step 103: Determine the radiation pattern of the array antenna in the two observations based on the phase modulation strategy.

[0030] Step 104: Based on the radiation pattern of the array antenna in the two observations, optimize the unit excitation weighting vector of the two observations to obtain the optimized value of the unit excitation weighting vector of the two observations.

[0031] Step 105: Based on the optimized value of the unit excitation weighted vector from the two observations, perform phase modulation on the transmitted signal of the array antenna and transmit it to the target.

[0032] Step 106: Coherently superimpose the echo signals reflected from the target received by the radar in two observations to obtain the coherently superimposed echo signal of the target.

[0033] By implementing steps 101 to 106 above, the main lobe and side lobe signal characteristics are separated through a phase modulation strategy, the radiation pattern constraint is optimized, and finally, side lobe interference is suppressed through coherent synthesis of two observations. The core logic is "main lobe preservation and side lobe cancellation," which breaks through the traditional resolution limitations without changing the physical size of the array.

[0034] In another exemplary embodiment of this application, based on the radiation pattern characteristics of the array antenna, the spatial angle range corresponding to the main beam peak in the radiation pattern of the array antenna is divided into the main lobe region, and the spatial angle range outside the main lobe region in the radiation pattern of the array antenna is divided into the side lobe region. For example, the main beam peak is within a 3dB beamwidth.

[0035] by Figure 2 Taking the one-dimensional linear array shown as an example, let the one-dimensional linear array be composed of... A linear array consisting of 100 elements will have a radiation pattern of 1000 antenna elements. It can be represented as: ; ; In the formula, Let be the unit excitation weighting vector for each element of the array antenna. for The conjugate transpose of . As the guide vector, For space wavenumber, , , , These are the first, second, and third elements of the array antenna, respectively. Unit 1, the 1st The coordinate values ​​of each unit. Figure 2 In These are the coordinates of the third unit. The direction angle is indicated by the superscript T, which signifies transpose.

[0036] ; In the formula, , , , These are the first, second, and third elements of the array antenna, respectively. Unit 1, the 1st The unit excitation weighted vector of each unit.

[0037] The radiation pattern of the array antenna is divided into two regions: the main lobe and the side lobes, such as... Figure 3 As shown, Figure 3 In this context, ML represents the main lobe, and SL represents the side lobe. They are respectively represented by... Indicates that the array antenna is in The main lobe and side lobe radiation patterns at the observation time are used... Indicates that the array antenna is in The radiation pattern of the main lobe and side lobe at the time of observation.

[0038] In another exemplary embodiment of this application, according to the above-described main lobe and side lobe region division, phase constraints are applied to the array elements at two radar observation times: Main lobe region: Maintain phase consistency between the two observations ( This ensures coherent superposition and enhancement of the main lobe echo signal. Sidelobe region: Two observations introduce a π phase difference ( This causes the sidelobe echoes to cancel each other out during synthesis. This represents the phase difference between two observations.

[0039] The radiation patterns of the array antenna in the two observations satisfy the following constraints: ; ; In the formula, The orientation angle of the main lobe. The direction angle of the sidelobe.

[0040] In another exemplary embodiment of this application, an optimization method is used to optimize the unit excitation weighting of the two observations so that the radiation patterns of the two observations meet the following conditions: the amplitude and phase of the radiation pattern in the main lobe region are completely consistent in the two observations; and the amplitude of the radiation pattern in the side lobe region is approximately the same, but the phase difference is strictly 180°. ° Therefore, step 104 above can be replaced by steps 201 to 203.

[0041] Step 201: Use the radiation pattern of the array antenna in the two observations as the preset radiation pattern, and use the radiation pattern of the array antenna controlled by the unit excitation weighted vector of the two observations as the radiation pattern to be designed.

[0042] Step 202: Establish an excitation weighted vector optimization model with the goal of minimizing the deviation between the design pattern and the preset pattern.

[0043] In one example, the incentive-weighted vector optimization model includes: an objective function and constraints.

[0044] The objective function is: ; In the formula, For array antennas in Sidelobe pattern of radiation at the time of observation. The value can be 1 or 2. for or , for The unit excitation weighted vector at the observation time, for The conjugate transpose of . The guide vector for the sidelobe. It is an L2 norm.

[0045] The constraints are: ; In the formula, For array antennas in The main lobe pattern of the radiation at the time of observation. The guiding vector for the main lobe.

[0046] Step 203: Use an optimization algorithm to solve the optimization model of the excitation weighted vector to obtain the optimized value of the unit excitation weighted vector for the two observations.

[0047] For example, the optimization algorithm can be a genetic algorithm, particle swarm optimization, least squares method, or convex optimization method, or other methods capable of phase modulation optimization. The form of the array antenna is not limited to uniform array or sparse array.

[0048] In another exemplary embodiment of this application, after step 105 above, the method can also verify the pattern characteristics of the two observations.

[0049] A uniform linear array is defined as consisting of 113 elements, with an element spacing of half a wavelength and a wavelength of 1. The main lobe region is the main peak of the beam, and the other regions are the sidelobe regions. Phase modulation optimization is performed on this uniform linear array, and the amplitude and phase distributions of the array element excitation in two observations are shown below. Figure 4 and Figure 5 The array amplitude patterns obtained from the two observations using this aperture distribution are shown below. Figure 6 The phase difference distribution of the array pattern from the two observations is shown in [the image]. Figure 7 The formula for calculating the phase difference is: In the formula, For phase difference, For phase operators, For array antennas in The radiation pattern at the time of observation For array antennas in The radiation pattern at the time of observation It is the conjugate of complex numbers.

[0050] Optimization results show that the amplitude direction at the two observation times is... Figure 1 High consistency; the phase pattern is the same only at the main peak position, while other regions form 180° patterns. ° Phase difference. That is, the amplitude direction of the main lobe. Figure 1 High consistency, phase difference is 0 ° The sidelobe amplitude patterns are approximately the same, with a phase difference of 180°. ° .

[0051] In another exemplary embodiment of this application, the radar echo signals from two observations are vector-added. Because the echoes from the main lobe region are in phase, their amplitude is doubled after synthesis, thus enhancing the target signal. The echoes from the side lobe region, due to a 180° phase difference... ° After synthesis, they cancel each other out, significantly reducing interference.

[0052] In another exemplary embodiment of this application, after implementing step 106 above, the anti-interference effect of the method provided in this application can also be verified.

[0053] The slope was illuminated using a phase-modulated transmitted signal from an array antenna. The radar's center frequency was 17.2 GHz, its bandwidth was 1 GHz, and the number of frequency points was 6001. To simulate noise interference, the signal-to-noise ratio was set to 20 dB.

[0054] The one-dimensional image of the target obtained by beam illumination at the observation time is shown below. Figure 8 The "direct testing of one-dimensional images" in the text will Observation time The one-dimensional image obtained by coherently superimposing the echoes at the observation time is shown below. Figure 8 The "phase-modulated coherent one-dimensional image" in the image. (Comparison) Figure 8 The results show that although the array beam is narrow and the sidelobes are low, the directly obtained one-dimensional image has a large and high-intensity trailing behind the main peak. These trailings originate from the scattered echoes from the array sidelobes to the target area. In particular, the trailings adjacent to the main peak of the one-dimensional image are difficult to filter out using a range gate due to their close proximity, which will inevitably interfere with the test results. However, by using the method proposed in this application, the... Observation time The phase difference of the array sidelobes at the observation time is 180°. ° After the radiation pattern illuminates the target, the echoes are coherently superimposed, resulting in a one-dimensional image with significantly reduced trailing of the main peak and a substantial reduction in interference, thus verifying the effectiveness of the method proposed in this application.

[0055] Based on the coherent superposition of echo signals, the target's distance, velocity, deformation, and angle can be further calculated.

[0056] To address the contradiction between low sidelobes and narrow main lobes, as well as the physical size limitations, in traditional array antenna design, this application's method suppresses sidelobe interference through pattern phase modulation and coherent combining during two observations. Specifically, this includes: dividing the main lobe region into main lobe and sidelobe regions; maintaining phase consistency for the main lobe in both observations; and applying a 180° angle modulator to the sidelobe. ° Phase difference; an optimization algorithm is used to solve for the array weighting vector that satisfies the phase constraint; the two echo signals are vector synthesized, the main lobe signal is enhanced, and the side lobe interference is canceled. The method of this application does not require increasing the array size, can significantly improve the radar's anti-jamming capability and spatial resolution, and can be applied to complex scenarios such as slope radar.

[0057] In summary, compared with the prior art, this application has the following advantages.

[0058] 1) Suppressing sidelobe interference: Through two observations at 180°... ° The phase difference design ensures that the sidelobe echoes cancel each other out during coherent synthesis, significantly reducing the main peak tail interference and improving target detection accuracy.

[0059] 2) Maintain main lobe resolution: Phase consistency in the main lobe region ensures the enhancement of the target signal and avoids the resolution degradation problem caused by main lobe widening in traditional methods.

[0060] 3) No need to increase array size: Performance improvement is achieved through phase modulation optimization without increasing the physical aperture of the antenna, thus reducing system cost and deployment difficulty.

[0061] 4) Flexibility and universality: Supports various optimization methods such as genetic algorithm and particle swarm algorithm, and is applicable to various array forms such as uniform array and sparse array.

[0062] 5) Strong engineering practicality: Through simulation verification of 113-element uniform linear array, the main lobe tail intensity is significantly reduced, making it suitable for practical scenarios such as slope radar and high-resolution imaging.

[0063] Based on the same inventive concept, this application also provides a radar measuring device for implementing the radar measuring method described above. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more radar measuring device embodiments provided below can be found in the limitations of the radar measuring method described above, and will not be repeated here.

[0064] In one exemplary embodiment, such as Figure 9 As shown, a radar measurement device is provided, comprising: a region division module, a strategy determination module, a radiation pattern determination module, an optimization module, a phase modulation module, and a coherent superposition module.

[0065] The region division module is used to divide the spatial angle into main lobe region and side lobe region; the strategy determination module is used to determine the phase modulation strategy for two radar observations; the phase modulation strategy includes keeping the phase of the main lobe region consistent in both observations, and the phase of the side lobe region differing by 180°. ° The system includes: a radiation pattern determination module for determining the radiation pattern of the array antenna in two observations based on the phase modulation strategy; an optimization module for optimizing the unit excitation weighting vector of the two observations based on the radiation pattern of the array antenna in two observations, and obtaining the optimized value of the unit excitation weighting vector of the two observations; a phase modulation module for performing phase modulation on the transmitted signal of the array antenna according to the optimized value of the unit excitation weighting vector of the two observations, and transmitting it to the target; and a coherent superposition module for coherently superimposing the echo signals reflected from the target received by the radar in the two observations, and obtaining the coherently superimposed echo signal of the target.

[0066] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 10As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores the coherent superimposed echo signals of the target. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a radar measurement method.

[0067] Those skilled in the art will understand that Figure 10 The structures shown are merely block diagrams of some structures related to the present application and do not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than shown in the figures, or combine certain components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0068] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0069] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0070] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0071] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0072] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0073] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0074] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A radar measurement method, characterized in that, include: The spatial angle is divided into the main lobe region and the secondary lobe region; Determine the phase modulation strategy for the two radar observations; The phase modulation strategy involves maintaining the phase of the main lobe region in both observations, while the phase of the side lobe regions differs by 180°. ° ; Based on the phase modulation strategy, the radiation pattern of the array antenna in the two observations is determined; Based on the radiation pattern of the array antenna in two observations, the unit excitation weighting vector of the two observations is optimized to obtain the optimized value of the unit excitation weighting vector of the two observations. Based on the optimized value of the unit excitation weighted vector from the two observations, the transmitted signal of the array antenna is phase-modulated and transmitted to the target; The echo signals reflected from the target received by the radar in two observations are coherently superimposed to obtain the coherently superimposed echo signal of the target.

2. The radar measurement method according to claim 1, characterized in that, The spatial perspective divides the region into the main lobe region and the secondary lobe region, specifically including: The spatial angle range corresponding to the main peak of the beam in the radiation pattern of the array antenna is divided into the main lobe region, and the spatial angle range outside the main lobe region in the radiation pattern of the array antenna is divided into the side lobe region.

3. The radar measurement method according to claim 1, characterized in that, The radiation patterns of the array antenna in the two observations satisfy the following constraints: ； ； In the formula, For array antennas in The main lobe pattern of the radiation at the time of observation. For array antennas in The main lobe pattern of the radiation at the time of observation. The orientation angle of the main lobe. For array antennas in Sidelobe pattern of radiation at the time of observation. For array antennas in Sidelobe pattern of radiation at the time of observation. The direction angle of the sidelobe.

4. The radar measurement method according to claim 1, characterized in that, Based on the radiation pattern of the array antenna in two observations, the unit excitation weighting vector for the two observations is optimized to obtain the optimized value of the unit excitation weighting vector for the two observations, specifically including: The radiation pattern of the array antenna in two observations is used as the preset radiation pattern, and the radiation pattern of the array antenna controlled by the unit excitation weighted vector of the two observations is used as the radiation pattern to be designed. An excitation weighted vector optimization model is established with the goal of minimizing the deviation between the design pattern and the preset pattern. An optimization algorithm is used to solve the optimization model of the excitation weighted vector to obtain the optimized value of the unit excitation weighted vector for two observations.

5. The radar measurement method according to claim 4, characterized in that, The incentive weighted vector optimization model includes: an objective function and constraints; The objective function is: ； In the formula, For array antennas in Sidelobe pattern of radiation at the time of observation. The value can be 1 or 2. The orientation angle of the sidelobe. for The unit excitation weighted vector at the observation time, for The conjugate transpose of . The guide vector for the sidelobe. It is an L2 norm; The constraints are as follows: ； In the formula, For array antennas in The main lobe pattern of the radiation at the time of observation. The orientation angle of the main lobe. The guiding vector for the main lobe.

6. The radar measurement method according to claim 4, characterized in that, The optimization algorithm is a genetic algorithm, particle swarm optimization, least squares method, or convex optimization method.

7. A radar measuring device, characterized in that, include: The region division module is used to divide the spatial angle into the main lobe region and the side lobe region; The strategy determination module is used to determine the phase modulation strategy for two radar observations; The phase modulation strategy involves maintaining the phase of the main lobe region in both observations, while the phase of the side lobe regions differs by 180°. ° ; The pattern determination module is used to determine the pattern of the array antenna for the desired radiation in two observations based on the phase modulation strategy. The optimization module is used to optimize the unit excitation weighting vector of the two observations based on the radiation pattern of the array antenna in the two observations, and obtain the optimized value of the unit excitation weighting vector of the two observations. The phase modulation module is used to phase modulate the transmitted signal of the array antenna according to the optimized value of the unit excitation weighted vector of the two observations, and then transmit it to the target; The coherent superposition module is used to coherently superimpose the echo signals reflected from the target received by the radar in two observations to obtain the coherently superimposed echo signal of the target.

8. A computer 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 radar measurement method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the radar measurement method according to any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the radar measurement method according to any one of claims 1-6.

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