A method and device for simulating electromagnetic scattering of a high-speed target in a non-uniform flow field

Abstract

The application discloses a kind of high-speed target non-uniform flow field electromagnetic scattering simulation method and device, belong to electromagnetic simulation modeling field.The method includes: obtaining the high-speed target continuous non-uniform flow field data to be calculated;According to the flow field data is discretized according to the preset radar simulation wave band, obtain the same discrete uniform cell data set with the flow field data structure;According to the cell data set and preset radar observation parameter, the scattering characteristic data of each cell is calculated, and the equivalent scattering center data set of cell is generated in combination with spatial coordinates;According to the preset simulation parameter, the equivalent scattering center data set of cell is filtered, and the filtering result that meets the standard is synthesized, and the electromagnetic scattering characteristic of current plasma flow field covering target is obtained.The application can solve the problem of extracting electromagnetic characteristics of non-uniform velocity difference of plasma flow field around target, and improve the calculation efficiency of electromagnetic scattering characteristics of plasma flow field target.

Description

Technical Field

[0001] This invention relates to the field of electromagnetic simulation modeling technology, and in particular to an electromagnetic scattering simulation method and apparatus for a non-uniform flow field of a high-speed target. Background Technology

[0002] When an aircraft moves at extremely high speeds within the atmosphere, a plasma flow field is generated around it due to intense friction. This plasma is continuously generated on the aircraft's windward side and flows backwards. Since its speed differs from that of the aircraft itself, and considering the dispersive properties of the plasma and its non-uniform distribution around the target, this plasma flow field will modulate the amplitude, frequency, and phase of incident radar waves, affecting the detection and tracking capabilities of radar and other detection methods.

[0003] In related technologies, the scattering characteristics of a target enveloped by a plasma flow field need to be extracted. By processing and analyzing radar echo amplitude, phase, and Doppler, the frequency modulation characteristics of the target enveloped by the plasma sheath can be obtained. However, there is no algorithm model in the existing technology that can extract these characteristics.

[0004] Therefore, there is an urgent need for an electromagnetic scattering simulation method and device for high-speed target non-uniform flow fields to solve the above-mentioned technical problems. Summary of the Invention

[0005] This invention provides a method and apparatus for simulating electromagnetic scattering in a non-uniform flow field of a high-speed target, solving the problem of extracting electromagnetic features from the non-uniform velocity difference of the plasma flowing around the target, and improving the computational efficiency of the electromagnetic scattering characteristics of the plasma flow field target. The technical solution is as follows: On the one hand, a method for simulating electromagnetic scattering in a non-uniform flow field of a high-speed target is provided, the method comprising: Acquire continuous non-uniform flow field data of the high-speed target under test; wherein, the flow field data includes the spatial coordinates, velocity vector and electron distribution characteristic parameters of the target under test; The flow field data is discretized according to the preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data. The scattering characteristics of each cell are calculated based on the cell dataset and preset radar observation parameters, and the equivalent scattering center dataset of the cell is generated by combining the spatial coordinates. The cellular equivalent scattering center dataset is screened according to preset simulation standards, and the screening results that meet the standards are synthesized to obtain the electromagnetic scattering characteristics of the high-speed target under test.

[0006] On the other hand, an electromagnetic scattering simulation device for a non-uniform flow field of a high-speed target is provided, the device comprising: The acquisition module is used to acquire continuous non-uniform flow field data of the high-speed target under test; wherein, the flow field data includes the spatial coordinates, velocity vector and electron distribution characteristic parameters of the target under test; The processing module is used to discretize the flow field data according to the preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data. The calculation module is used to calculate the scattering characteristic data of each cell based on the cell dataset and preset radar observation parameters, and generate the cell equivalent scattering center dataset by combining spatial coordinates. The synthesis module is used to filter the cellular equivalent scattering center dataset according to preset simulation standards, and to synthesize the filtering results that meet the standards to obtain the electromagnetic scattering characteristics of the high-speed target under test.

[0007] On the other hand, a computer device is provided, the computer device including a memory and a processor, the memory for storing computer programs, and the processor for executing the computer programs stored in the memory to implement the steps of the electromagnetic scattering simulation method for high-speed target non-uniform flow fields described above.

[0008] On the other hand, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when the computer program is executed by a processor, the steps of the electromagnetic scattering simulation method for the non-uniform flow field of a high-speed target described above are implemented.

[0009] On the other hand, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the electromagnetic scattering simulation method for a non-uniform flow field of a high-speed target described above.

[0010] The technical solution provided by this invention can bring at least the following beneficial effects: First, by acquiring the basic flow field data of the high-speed target to be detected, and re-subdividing and parameter-differentiating the non-uniform flow field according to the radar band to form multiple discrete uniform cells, the key problems of non-uniform velocity differences between the original grids and the difficulty of direct calculation are effectively solved, breaking through the bottleneck of coupled electromagnetic modeling technology between the target and the complex flow field; then, the scattering intensity and Doppler frequency shift of each cell are calculated in parallel, and then, through optional screening and optimization, the scattering centers are finally grouped and synthesized according to the Doppler frequency shift, which can efficiently and accurately extract the overall frequency modulation spectrum characteristics of the plasma flow field on the radar echo. This method can provide an efficient simulation means that can be applied in engineering for studying the electromagnetic properties of the plasma sheath of high-speed targets. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart of an electromagnetic scattering simulation method for a non-uniform flow field of a high-speed target provided by an embodiment of the present invention; Figure 2 This is a plasma flow field data structure provided in an embodiment of the present invention; Figure 3 This is a structural diagram of an electromagnetic scattering simulation device for a high-speed target non-uniform flow field provided in an embodiment of the present invention; Figure 4 This is a hardware architecture diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0014] As mentioned earlier, existing studies on the electromagnetic scattering characteristics of plasma flow field targets lack computationally efficient engineering models, making it difficult to meet the needs of practical applications.

[0015] Based on this, the concept of the present invention is to realize the electromagnetic scattering intensity simulation of the plasma flow field of any high-speed target by re-dividing and mapping the flow field and filtering the results.

[0016] The following describes the specific implementation of the above concept.

[0017] Please refer to Figure 1 This invention provides an electromagnetic scattering simulation method for a non-uniform flow field of a high-speed target, the method comprising: Step 100: Obtain continuous non-uniform flow field data of the high-speed target to be tested; wherein, the flow field data includes the spatial coordinates, velocity vector and electron distribution characteristic parameters of the target to be tested; Step 102: Discretize the flow field data according to the preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data. Step 104: Calculate the scattering characteristic data of each cell based on the cell dataset and preset radar observation parameters, and generate the cell equivalent scattering center dataset by combining spatial coordinates. Step 106: The cellular equivalent scattering center dataset is screened according to the preset simulation criteria, and the screening results that meet the criteria are synthesized to obtain the electromagnetic scattering characteristics of the high-speed target under test.

[0018] In this embodiment of the invention, the basic flow field data of the high-speed target to be detected is first acquired, and the non-uniform flow field is re-subdivided and parameter-differentiated according to the radar band to form multiple discrete uniform cells. This effectively solves the key problem of non-uniform velocity differences between the original grids and the difficulty of direct calculation, breaking through the bottleneck of coupled electromagnetic modeling technology between the target and the complex flow field. Subsequently, the scattering intensity and Doppler frequency shift of each cell are calculated in parallel. Then, through optional screening and optimization, the scattering centers are grouped and synthesized according to the Doppler frequency shift, which can efficiently and accurately extract the overall frequency modulation spectrum characteristics of the plasma flow field on the radar echo. This method can provide an efficient simulation means with engineering applications for studying the electromagnetic properties of the plasma sheath of high-speed targets.

[0019] The following description Figure 1 The execution method for each step is shown.

[0020] First, for step 100, continuous non-uniform flow field data of the high-speed target to be tested is acquired; wherein, the flow field data includes the spatial coordinates, velocity vector and electron distribution characteristic parameters of the target to be tested.

[0021] In this embodiment of the invention, the plasma flow field data file corresponding to the target state needs to be determined first based on the target state selected by the user. This file is pre-generated by computational fluid dynamics simulation software. Key physical parameters at each spatial grid point in the flow field are extracted and loaded from this file, including the grid's control coordinate position information (e.g., three-dimensional coordinates x, y, z), velocity vectors (including velocity components in three directions), and electromagnetic characteristic parameters (e.g., electron density, electron collision frequency, etc.). Specific data content and format are as follows: Figure 2 As shown.

[0022] Then, for step 102, the flow field data is discretized according to the preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data.

[0023] The above steps yield a structured dataset of the original plasma flow field containing the physical state of each point in space. However, this dataset is continuous and non-uniform, making it difficult to establish a standardized computational model for this data. Therefore, this embodiment discretizes the data according to the radar simulation band set by the user.

[0024] The processing includes: determining the electromagnetic feature size according to the preset radar band, and dividing the flow field space according to the electromagnetic feature size to obtain multiple hexahedral cells; performing differential calculation on the flow field data to uniformly distribute the electron distribution characteristic parameters distributed on the irregular grid to each cell, thereby obtaining a cell dataset for characterizing the uniform equivalent electron distribution characteristic parameters.

[0025] Specifically, the user or system determines a suitable electromagnetic characteristic scale based on the radar band (such as X-band or Ku-band), and defines a new, uniform hexahedral grid unit in the flow field space based on this size, denoted as a cell.

[0026] Furthermore, the electron density and collision frequency parameters at the original non-uniform grid points are distributed to the newly defined cells using interpolation or difference algorithms. Each cell obtains a set of "equivalent" and uniform electron distribution characteristic parameters (electron density, collision frequency) while inheriting its spatial range.

[0027] This results in a set of discretized cellular datasets. Each cell is an independent computational unit with well-defined spatial boundaries and a set of uniform electron distribution characteristic parameters. This solves the problem of the original flow field being non-uniform and difficult to calculate directly.

[0028] For step 104, the scattering characteristic data of each cell is calculated based on the cell dataset and the preset radar observation parameters, and the equivalent scattering center dataset of the cell is generated by combining the spatial coordinates.

[0029] In this embodiment of the invention, after obtaining the cell dataset, calculations are performed on the cell data based on the set radar observation data, including the center frequency and the angle of the observation direction. This includes: calculating the electromagnetic scattering intensity of the cell as a uniform plasma based on the equivalent electron density and collision frequency stored within the cell data; calculating the Doppler frequency shift generated by the cell motion based on the radar observation direction and the velocity vector stored within the cell data; and equivaling each cell to a point scattering source with complete electromagnetic and motion characteristics based on the spatial position of each cell, the electromagnetic scattering intensity, and the Doppler frequency shift, and then combining all the point scattering sources corresponding to the cells to obtain the cell equivalent scattering center dataset.

[0030] Specifically, for each cell, based on its internal equivalent electron density and collision frequency, combined with the radar frequency and polarization, the electromagnetic scattering intensity of the cell as a uniform plasma block is calculated. For each cell, its radial velocity along the observation direction is calculated according to its velocity vector and the radar observation direction. Then, substituting these values ​​into the Doppler formula, the Doppler frequency shift caused by the cell's motion is calculated. In the formula, This represents the Doppler offset corresponding to the cell. The center frequency of the radar. The radial velocity of the cell relative to the observation direction. It is the speed of light.

[0031] This results in a set of cellular equivalent scattering center properties. Each scattering center contains: three-dimensional position, scattering intensity, and Doppler frequency shift. Thus, each flow field cell is abstracted as a point scattering source with complete electromagnetic and kinematic properties.

[0032] For step 106, the cellular equivalent scattering center dataset is screened according to preset simulation standards, and the screening results that meet the standards are synthesized to obtain the electromagnetic scattering characteristics of the high-speed target under test.

[0033] In this embodiment of the invention, the selection criteria for the cellular equivalent scattering center dataset can be set according to actual needs. For example, spatial range selection: only scattering centers in specific spatial regions such as the head and tail of the target are retained; or intensity threshold selection: only significant scattering centers with scattering intensity higher than a certain threshold are retained.

[0034] Based on the set conditions, all scattering centers are traversed and filtered, and those that do not meet the conditions are removed, resulting in a more streamlined subset of scattering centers. This subset focuses on the regions or strong scattering sources that are of interest to the user and contribute the most significant amount of scattering.

[0035] Furthermore, the synthesis processing of the screening results includes: classifying the scattering centers into frequency ranges based on the Doppler frequency shift value of each scattering center in the cellular equivalent scattering center subset obtained from the screening; performing coherent vector superposition calculation on the electromagnetic scattering intensity of the scattering centers in each range based on the classification results to obtain the total scattering intensity of each range; and generating a frequency modulation spectrum of scattering intensity varying with Doppler frequency shift based on the total scattering intensity of all ranges to characterize the electromagnetic scattering characteristics of high-speed targets at different speeds in the flow field to the radar echo.

[0036] The total scattering intensity is calculated using the following formula: In the formula, The target is the scattered echo; N is the number of scattering centers; k is the wave number; k0 is the wave number of the electromagnetic wave in vacuum; and These are the elevation angle and the azimuth angle, respectively. The scattering intensity is the scattering intensity at the i-th scattering center; These are frequency-dependent parameters; These are three-dimensional position parameters.

[0037] The final result is the frequency modulation spectrum of the plasma flow field, i.e., the distribution of scattering intensity / power as a function of Doppler frequency. This figure visually illustrates the combined modulation effect of different velocity components of the flow field on the radar echo, which is a key electromagnetic feature required for radar identification and signal processing.

[0038] Please refer to Figure 3 This invention provides an electromagnetic scattering simulation device for a non-uniform flow field of a high-speed target, the device comprising: The acquisition module 300 is used to acquire continuous non-uniform flow field data of the high-speed target under test; wherein, the flow field data includes the spatial coordinates, velocity vector and electron distribution characteristic parameters of the target under test; Processing module 302 is used to discretize the flow field data according to a preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data. The calculation module 304 is used to calculate the scattering characteristic data of each cell based on the cell dataset and preset radar observation parameters, and generate the cell equivalent scattering center dataset by combining spatial coordinates. The synthesis module 306 is used to screen the cellular equivalent scattering center dataset according to preset simulation standards, and to synthesize the screening results that meet the standards to obtain the electromagnetic scattering characteristics of the high-speed target under test.

[0039] In this embodiment of the invention, the step of discretizing the flow field data according to a preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data includes: The electromagnetic feature size is determined according to the preset radar band, and the flow field space is divided according to the electromagnetic feature size to obtain multiple hexahedral cells. Differential calculations are performed on the flow field data to uniformly distribute the electron distribution characteristic parameters distributed on the irregular grid to each cell, thereby obtaining a cell dataset for characterizing the uniform equivalent electron distribution characteristic parameters.

[0040] In this embodiment of the invention, the step of calculating the scattering characteristic data of each cell based on the cell dataset and preset radar observation parameters, and generating a cell equivalent scattering center dataset by combining spatial coordinates, includes: The electromagnetic scattering intensity of the cell as a uniform plasma is calculated based on the equivalent electron density and collision frequency stored in the cell data. The Doppler frequency shift generated by the cell motion is calculated based on the radar observation direction and the velocity vector stored in the cell data. Based on the spatial location of each cell, the electromagnetic scattering intensity, and the Doppler frequency shift, the cell is equivalent to a point scattering source with complete electromagnetic and motion characteristics, and the point scattering sources corresponding to all cells are collected to obtain the cell equivalent scattering center dataset.

[0041] In this embodiment of the invention, the Doppler frequency shift is calculated using the following formula: In the formula, This represents the Doppler offset corresponding to the cell. The center frequency of the radar. The radial velocity of the cell relative to the observation direction. It is the speed of light.

[0042] In this embodiment of the invention, the process of synthesizing the screening results that meet the criteria to obtain the electromagnetic scattering characteristics of the high-speed target to be tested includes: Based on the Doppler frequency shift value of each scattering center in the selected subset of cellular equivalent scattering centers, the scattering centers are classified into frequency ranges. Based on the classification results, the electromagnetic scattering intensity of the scattering center in each interval is calculated by coherent vector superposition to obtain the total scattering intensity of each interval. Based on the total scattering intensity across all intervals, a frequency modulation spectrum is generated to represent the electromagnetic scattering characteristics of radar echoes by high-speed targets at different speeds within the flow field.

[0043] In this embodiment of the invention, the total scattering intensity is calculated using the following formula: In the formula, The target is the scattered echo; N is the number of scattering centers; k is the wave number; k0 is the wave number of the electromagnetic wave in vacuum; and These are the elevation angle and the azimuth angle, respectively. The scattering intensity is the scattering intensity at the i-th scattering center; These are frequency-dependent parameters; These are three-dimensional position parameters.

[0044] It should be noted that the electromagnetic scattering simulation device for high-speed target non-uniform flow fields provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the electromagnetic scattering simulation device for high-speed target non-uniform flow fields provided in the above embodiments and the electromagnetic scattering simulation method embodiments for high-speed target non-uniform flow fields belong to the same concept. The specific implementation process is detailed in the method embodiments and will not be repeated here.

[0045] Embodiments of this application also provide a computer device, please refer to... Figure 4 The computer device includes a processor and a memory, the memory storing at least one instruction, at least one program, code set or instruction set, the at least one instruction, at least one program, code set or instruction set being loaded and executed by the processor to implement the electromagnetic scattering simulation method for high-speed target non-uniform flow field provided in the above method embodiments.

[0046] The embodiments of this application also provide a computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the electromagnetic scattering simulation method for high-speed target non-uniform flow field provided in the above-described method embodiments.

[0047] Embodiments of this application also provide a computer program product, which includes a computer program. A processor of a computer device reads the computer program from a computer-readable storage medium and executes the computer program, causing the computer device to perform the electromagnetic scattering simulation method for high-speed target non-uniform flow fields as described in any of the above embodiments.

[0048] For ease of description, the above systems or devices are described separately as various modules or units based on their functions. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware components.

[0049] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0050] Finally, it should be noted that in this document, relational terms such as first, second, third, and fourth are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0051] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for simulating electromagnetic scattering of a high-speed target in a non-uniform flow field, characterized in that, The method includes: Acquire continuous non-uniform flow field data of the high-speed target under test; wherein, the flow field data includes the spatial coordinates, velocity vector and electron distribution characteristic parameters of the target under test; The flow field data is discretized according to the preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data. The scattering characteristics of each cell are calculated based on the cell dataset and preset radar observation parameters, and the equivalent scattering center dataset of the cell is generated by combining the spatial coordinates. The cellular equivalent scattering center dataset is screened according to preset simulation standards, and the screening results that meet the standards are synthesized to obtain the electromagnetic scattering characteristics of the high-speed target under test.

2. The method as described in claim 1, characterized in that, The discretization of the flow field data according to a preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data includes: The electromagnetic feature size is determined according to the preset radar band, and the flow field space is divided according to the electromagnetic feature size to obtain multiple hexahedral cells. Differential calculations are performed on the flow field data to uniformly distribute the electron distribution characteristic parameters distributed on the irregular grid to each cell, thereby obtaining a cell dataset for characterizing the uniform equivalent electron distribution characteristic parameters.

3. The method as described in claim 1, characterized in that, The step of calculating the scattering characteristic data of each cell based on the cell dataset and preset radar observation parameters, and generating a cell equivalent scattering center dataset by combining spatial coordinates, includes: The electromagnetic scattering intensity of the cell as a uniform plasma is calculated based on the equivalent electron density and collision frequency stored in the cell data. The Doppler frequency shift generated by the cell motion is calculated based on the radar observation direction and the velocity vector stored in the cell data. Based on the spatial location of each cell, the electromagnetic scattering intensity, and the Doppler frequency shift, the cell is equivalent to a point scattering source with complete electromagnetic and motion characteristics, and the point scattering sources corresponding to all cells are collected to obtain the cell equivalent scattering center dataset.

4. The method as described in claim 3, characterized in that, The Doppler frequency shift is calculated using the following formula: In the formula, This represents the Doppler offset corresponding to the cell. The center frequency of the radar. The radial velocity of the cell relative to the observation direction. It is the speed of light.

5. The method as described in claim 1, characterized in that, The process of synthesizing the screening results that meet the criteria to obtain the electromagnetic scattering characteristics of the high-speed target under test includes: Based on the Doppler frequency shift value of each scattering center in the selected subset of cellular equivalent scattering centers, the scattering centers are classified into frequency ranges. Based on the classification results, the electromagnetic scattering intensity of the scattering center in each interval is calculated by coherent vector superposition to obtain the total scattering intensity of each interval. Based on the total scattering intensity across all intervals, a frequency modulation spectrum is generated to represent the electromagnetic scattering characteristics of radar echoes by high-speed targets at different speeds within the flow field.

6. The method as described in claim 5, characterized in that, The total scattering intensity is calculated using the following formula: In the formula, The target is the scattered echo; N is the number of scattering centers; k is the wave number; k0 is the wave number of the electromagnetic wave in vacuum; and These are the elevation angle and the azimuth angle, respectively. The scattering intensity is the scattering intensity at the i-th scattering center; These are frequency-dependent parameters; These are three-dimensional position parameters.

7. An electromagnetic scattering simulation device for a non-uniform flow field of a high-speed target, characterized in that, The device includes: The acquisition module is used to acquire continuous non-uniform flow field data of the high-speed target under test; wherein, the flow field data includes the spatial coordinates, velocity vector and electron distribution characteristic parameters of the target under test; The processing module is used to discretize the flow field data according to the preset radar simulation band to obtain a discrete uniform cell dataset with the same structure as the flow field data. The calculation module is used to calculate the scattering characteristic data of each cell based on the cell dataset and preset radar observation parameters, and generate the cell equivalent scattering center dataset by combining spatial coordinates. The synthesis module is used to filter the cellular equivalent scattering center dataset according to preset simulation standards, and to synthesize the filtering results that meet the standards to obtain the electromagnetic scattering characteristics of the high-speed target under test.

8. A computer device, characterized in that, The computer device includes a memory and a processor. The memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory to implement the steps of the method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method described in any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program, which, when executed by a processor, implements the steps of the method according to any one of claims 1-6.

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