Simulation calculation method and device for large-scene electromagnetic echo data

Abstract

The invention relates to the technical field of electromagnetic calculation, in particular to a simulation calculation method and device for large-scene electromagnetic echo data. The method comprises the steps of firstly obtaining an imaging view angle and incident electromagnetic parameters in a preset scene, and performing scene division on the preset scene to obtain a plurality of sub-regions; wherein the plurality of sub-regions comprise a plurality of regions with dynamic targets and a plurality of regions without dynamic targets, distributing the imaging view angle and the incident electromagnetic parameters to the plurality of sub-regions according to the association relationship of the sub-regions for analogue simulation to obtain scattered field data, and post-processing the scattered field data to obtain electromagnetic echo data. The electromagnetic echo data are quickly calculated in an analogue simulation mode, so that the technical problem of how to improve the calculation efficiency of large-scene electromagnetic echo data is solved.

Description

Technical Field

[0001] The present invention relates to the field of electromagnetic computing technology, and in particular to a simulation computing method and device for large-scene electromagnetic echo data. Background Art

[0002] At present, modeling of composite electromagnetic scattering of ground and sea targets and environment has always been a difficult problem and one of the key research directions in the field of electromagnetic scattering. The whole process of scene electromagnetic characteristic modeling needs to be carried out in combination with different stages. The recognition stage mainly focuses on the SAR image of the scene. For this purpose, it is necessary to obtain the scene electromagnetic echo data within each radar pulse beam, which often involves scene areas with a side length of several kilometers, and there are a large number of targets, buildings and other fine simulation objects in the area. High-frequency asymptotic methods are generally used to carry out such large-scene simulations. When faced with the computational requirements of a large number of template images in large scenes, computational efficiency is still the main bottleneck.

[0003] In the related art, the computational efficiency of calculating large-scene electromagnetic echo data is low.

[0004] Based on this, there is an urgent need for a simulation calculation method and device for large-scene electromagnetic echo data to solve the technical problem of how to improve the calculation efficiency of large-scene electromagnetic echo data. Summary of the invention

[0005] In order to solve the technical problem of how to evaluate the application performance of airtight film materials, an embodiment of the present invention provides a simulation calculation method and device for large-scene electromagnetic echo data.

[0006] In a first aspect, an embodiment of the present invention provides a simulation calculation method for large-scene electromagnetic echo data, comprising:

[0007] Obtaining imaging viewing angle and incident electromagnetic parameters within a preset scene;

[0008] Dividing the preset scene into multiple sub-areas; wherein the multiple sub-areas include multiple areas with dynamic targets and multiple areas without dynamic targets;

[0009] Distributing the imaging viewing angle and the incident electromagnetic parameters to the multiple sub-regions according to the sub-region association relationship to perform simulation to obtain scattered field data;

[0010] The scattered field data are post-processed to obtain electromagnetic echo data.

[0011] In a second aspect, an embodiment of the present invention further provides a simulation computing device for large-scene electromagnetic echo data, comprising:

[0012] A data acquisition module, used to acquire imaging viewing angles and incident electromagnetic parameters within a preset scene;

[0013] A data division module, used for dividing the preset scene into multiple sub-areas; wherein the multiple sub-areas include multiple areas with dynamic targets and multiple areas without dynamic targets;

[0014] A data processing module, used for distributing the imaging viewing angle and the incident electromagnetic parameters to the multiple sub-regions according to the sub-region association relationship to perform simulation and obtain scattered field data;

[0015] The post-processing module is used to post-process the scattered field data to obtain electromagnetic echo data.

[0016] In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of the present invention is implemented.

[0017] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the method described in any embodiment of the present invention.

[0018] The embodiment of the present invention provides a simulation calculation method and device for large-scene electromagnetic echo data, firstly obtaining the imaging angle of view and incident electromagnetic parameters in a preset scene, dividing the preset scene into multiple sub-areas; wherein the multiple sub-areas include multiple dynamic target areas and multiple non-dynamic target areas, distributing the imaging angle of view and incident electromagnetic parameters to multiple sub-areas according to the sub-area association relationship to perform simulation, obtaining scattered field data, and post-processing the scattered field data to obtain electromagnetic echo data. By quickly calculating the electromagnetic echo data in a simulation manner, the technical problem of how to improve the calculation efficiency of large-scene electromagnetic echo data is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 This is a flow chart of a simulation calculation method for large-scene electromagnetic echo data provided by an embodiment of the present invention;

[0021] Figure 2 is a hardware architecture diagram of an electronic device provided by an embodiment of the present invention;

[0022] Figure 3 It is a structural diagram of a simulation computing device for large-scene electromagnetic echo data provided by an embodiment of the present invention;

[0023] Figure 4 is a schematic diagram comparing the RCS results of the corner reflector target calculated by the method provided by the embodiment of the present invention and the traditional method;

[0024] Figure 5 It is a schematic diagram comparing the RCS results of a cubic target calculated by the method provided by an embodiment of the present invention and a traditional method. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Please refer to Figure 1 The embodiment of the present invention provides a simulation calculation method for large-scene electromagnetic echo data, the method comprising:

[0027] Step 100: Obtaining imaging viewing angle and incident electromagnetic parameters within a preset scene;

[0028] Step 102: Divide the preset scene into multiple sub-areas; wherein the multiple sub-areas include multiple areas with dynamic targets and multiple areas without dynamic targets;

[0029] Step 104: Distribute the imaging viewing angle and the incident electromagnetic parameters to multiple sub-regions according to the sub-region association relationship to perform simulation and obtain scattered field data;

[0030] Step 106: Post-process the scattered field data to obtain electromagnetic echo data.

[0031] In the embodiment of the present invention, the imaging angle of view and incident electromagnetic parameters in a preset scene are first obtained, and the preset scene is divided into multiple sub-areas; wherein the multiple sub-areas include multiple dynamic target areas and multiple non-dynamic target areas, and the imaging angle of view and the incident electromagnetic parameters are distributed to the multiple sub-areas according to the sub-area association relationship to perform simulation to obtain scattered field data, and the scattered field data is post-processed to obtain electromagnetic echo data. The electromagnetic echo data is quickly calculated by simulation, thereby solving the technical problem of how to improve the calculation efficiency of large-scene electromagnetic echo data.

[0032] Described below Figure 1 How the various steps are performed.

[0033] For step 100:

[0034] In one embodiment of the present invention, the imaging viewing angle refers to the angle direction selected for observing the preset scene. In many application scenarios, such as radar detection, electromagnetic imaging and other fields. For example, when the radar monitors an airspace, different imaging viewing angles (horizontal direction, vertical direction and various tilt angles) will affect the observation effect of the target. The appropriate imaging viewing angle can be determined according to the specific distribution of detection targets, scene layout and focus. It is usually clarified by setting an angle range (such as a specific angle range from 0° to 360° in the horizontal direction and from -90° to 90° in the vertical direction). The incident electromagnetic parameters include the frequency, polarization mode and intensity of the electromagnetic radiation. In addition, the preset scene can be a large land and sea scene.

[0035] Regarding step 102:

[0036] In one embodiment of the present invention, the entire computing scene is divided into different sub-areas according to the configuration of the number of parallel computing processes. The range involved in the dynamic target in the scene is first cut into a separate area, and the remaining part is divided equally.

[0037] Regarding step 104:

[0038] In one embodiment of the present invention, the initial data of all rays are generated according to the imaging angle and the incident electromagnetic parameters, and these data include the emission point, propagation direction and additional electromagnetic energy data. Then, according to the association relationship of the sub-regions, the data are first summarized by region, and then distributed to the calculation process of each sub-region through MPI (Message Passing Interface). After the calculation of all processes is completed, the scattered field data is summarized by region and summarized to the main calculation process through MPI.

[0039] In one embodiment of the present invention, step 104 may specifically include:

[0040] When the sub-region is a region with dynamic targets, a BVH tree is constructed separately for each dynamic target in the sub-region, a kd tree is constructed for the remaining fixed targets and background in the sub-region, and the BVH tree is updated according to the trajectory of the dynamic targets in the preset scene to obtain an updated BVH tree;

[0041] Based on the updated BVH tree and kd tree, the scattered field data is determined; wherein the scattered field data includes a reflection point and a reflection direction.

[0042] In the embodiment of the present invention, there is a synchronous tracking calculation of the dynamic target area. For the sub-area containing the dynamic target, a BVH tree is constructed for each dynamic target separately, and a kd tree is constructed for the remaining fixed targets and the background. When calculating in time sequence, the BVH number is first updated as a whole according to the motion trajectory of the dynamic target without repeated construction; then all the rays of the sub-area are intersected with the BVH tree and kd tree of the area in turn to determine the reflection point and reflection direction. At the same time, the electric field change attached to the ray and the scattering field generated by the bouncing process are calculated until the ray leaves the sub-area bounding box.

[0043] In an embodiment of the present invention, a BVH tree is a data structure that hierarchically organizes a target object with a bounding volume (such as a sphere, a cuboid, etc.). The basic idea is to wrap a complex target geometry with a simple bounding volume, and then construct a tree structure so that when performing operations such as intersection detection, non-intersecting parts can be quickly excluded to improve computational efficiency. By constructing a BVH tree for each dynamic target, the geometric relationship changes of the target during motion can be effectively processed. Each dynamic target has its own unique motion mode and geometric shape, and constructing a BVH tree separately can more accurately adapt to its dynamic characteristics. For example, in a scene containing multiple flying objects (such as airplanes, drones, etc.), the flight trajectory and posture changes of each object are different. The separately constructed BVH tree can be optimized according to the specific situation of each object, and better track its changes in space, so that the influence of its position and posture on electromagnetic wave scattering can be accurately considered in the subsequent calculation of the scattered field data.

[0044] In one embodiment of the present invention, step 104 may specifically include:

[0045] When the sub-region is a region without dynamic targets, a kd tree is constructed for the region without dynamic targets;

[0046] Based on the kd tree, the scattered field data is determined; wherein the scattered field data includes a reflection point and a reflection direction.

[0047] In the embodiment of the present invention, there is no synchronous tracking calculation in the dynamic area. For the sub-area that does not contain the dynamic area, a kd tree is constructed for the entire area, and all the rays of the sub-area are intersected with the kd tree of the area in turn to determine the reflection point and reflection direction. At the same time, the electric field change attached to the ray and the scattered field generated by the bouncing process are calculated until the ray leaves the sub-area bounding box.

[0048] In an embodiment of the present invention, a kd tree is a data structure for dividing data points in a k-dimensional space. In this scenario, it is mainly used to process the spatial information of fixed targets and backgrounds. It forms a tree structure by continuously dividing the space along specific dimensions (such as x, y, and z dimensions). This structure has high efficiency when performing spatial searches and neighboring queries. For relatively static fixed targets and backgrounds, their spatial distribution remains unchanged within a certain period of time, and the kd tree can organize them well, which is convenient for subsequent joint calculations with dynamic targets.

[0049] Regarding step 106:

[0050] In one embodiment of the present invention, post-processing includes RCS generation, high-resolution imaging and echo generation.

[0051] In this embodiment, the generation of RCS is based on the principle of electromagnetic scattering. When the electromagnetic waves emitted by the radar are irradiated on the target object, the charges on the target surface will be redistributed under the action of the electromagnetic field. According to Maxwell's equations, a changing electric field will generate a magnetic field, and a changing magnetic field will generate an electric field. Under the excitation of the radar wave, an induced current will be generated on the target surface, and these induced currents will radiate new electromagnetic waves, which are scattered waves. The principle of high-resolution imaging is based on the principle of wave interference: high-resolution imaging is often achieved by using the interference phenomenon of waves. In the radar system, the electromagnetic waves emitted by the radar are irradiated on the target, and the waves reflected from different parts of the target will interfere with each other. By processing and analyzing these interference signals, detailed information of the target can be obtained. For example, synthetic aperture radar (SAR) imaging uses the movement of the radar platform to emit and receive electromagnetic waves at different positions, so that the echo signals at different positions interfere with each other, thereby achieving high-resolution imaging of the target. From a mathematical point of view, the phase difference of the interference signal is related to the position difference of each point of the target. By accurately measuring the phase difference, the geometric structure of the target can be inferred. Echo generation, the generation of echoes is essentially the scattered waves generated by the interaction between the incident electromagnetic waves and the target. When the electromagnetic waves hit the target, the charges on the target surface will be redistributed under the action of the electromagnetic field, thereby generating induced currents. These induced currents will radiate new electromagnetic waves, namely scattered waves. The scattered waves propagate in all directions, and the scattered waves that return to the direction of the signal receiving end are echoes. For example, in a radar system, when the electromagnetic waves emitted by the radar encounter targets such as airplanes, such scattered echoes will be generated.

[0052] like Figure 4 As shown, in this embodiment, the blue line is the RCS result of the corner reflector target calculated by the method of the present invention, and the red line is the RCS result of the corner reflector target calculated by the traditional method. It can be seen from the figure that the RCS result of the corner reflector target calculated by the method of the present invention has less volatility and the calculation result is more accurate.

[0053] like Figure 5 As shown, in this embodiment, the blue line is the RCS result of the cube target calculated by the method of the present invention, and the red line is the RCS result of the cube target calculated by the traditional method. It can be seen from the figure that the RCS result of the cube target calculated by the method of the present invention is the same as the RCS result of the cube target calculated by the traditional method.

[0054] like Figure 2 , Figure 3 As shown, an embodiment of the present invention provides a simulation computing device for large-scale electromagnetic echo data. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. From the hardware level, Figure 2 As shown, it is a hardware architecture diagram of an electronic device where a simulation and calculation device for large-scene electromagnetic echo data provided by an embodiment of the present invention is located. Figure 2 In addition to the processor, memory, network interface, and non-volatile memory shown, the electronic device in the embodiment may also include other hardware, such as a forwarding chip responsible for processing messages, etc. Taking software implementation as an example, Figure 3 As shown, as a device in a logical sense, the CPU of the electronic device in which it is located reads the corresponding computer program in the non-volatile memory into the internal memory and runs it.

[0055] like Figure 3 As shown, this embodiment provides a simulation calculation device for large-scene electromagnetic echo data, the device comprising:

[0056] The data acquisition module 300 is used to acquire the imaging viewing angle and incident electromagnetic parameters in a preset scene;

[0057] The data division module 302 is used to divide the preset scene into multiple sub-areas; wherein the multiple sub-areas include multiple areas with dynamic targets and multiple areas without dynamic targets;

[0058] A data processing module 304 is used to distribute the imaging viewing angle and the incident electromagnetic parameters to the multiple sub-regions according to the sub-region association relationship to perform simulation and obtain scattered field data;

[0059] The post-processing module 306 is used to post-process the scattered field data to obtain electromagnetic echo data.

[0060] In an embodiment of the present invention, the data acquisition module 300 can be used to execute step 100 in the above method embodiment, the data partitioning module 302 can be used to execute step 102 in the above method embodiment, the data processing module 304 can be used to execute step 104 in the above method embodiment, and the post-processing module 306 can be used to execute step 106 in the above method embodiment.

[0061] In one embodiment of the present invention, distributing the imaging viewing angle and the incident electromagnetic parameter to the multiple sub-regions according to the sub-region association relationship to perform simulation includes:

[0062] When the sub-region is a region with dynamic targets, a BVH tree is constructed separately for each dynamic target in the sub-region, a kd tree is constructed for the remaining fixed targets and background in the sub-region, and the BVH tree is updated according to the trajectory of the dynamic targets in the preset scene to obtain an updated BVH tree;

[0063] Based on the updated BVH tree and the kd tree, the scattered field data is determined, wherein the scattered field data includes a reflection point and a reflection direction.

[0064] In one embodiment of the present invention, distributing the imaging viewing angle and the incident electromagnetic parameter to the multiple sub-regions according to the sub-region association relationship to perform simulation includes:

[0065] When the sub-region is a region without dynamic targets, constructing a kd tree for the region without dynamic targets;

[0066] Based on the kd tree, the scattered field data is determined; wherein the scattered field data includes a reflection point and a reflection direction.

[0067] In one embodiment of the present invention, the post-processing includes RCS generation, high-resolution imaging and echo generation.

[0068] It is to be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on a simulation computing device for large-scene electromagnetic echo data. In other embodiments of the present invention, a simulation computing device for large-scene electromagnetic echo data may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0069] The information interaction, execution process and other contents between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention. For the specific contents, please refer to the description in the embodiment of the method of the present invention, and no further description is given here.

[0070] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a simulation calculation method for large-scene electromagnetic echo data in any embodiment of the present invention is implemented.

[0071] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes a simulation calculation method for large-scene electromagnetic echo data in any embodiment of the present invention.

[0072] Specifically, a system or device equipped with a storage medium can be provided, on which software program codes that implement the functions of any of the above-mentioned embodiments are stored, and a computer (or CPU or MPU) of the system or device can be enabled to read and execute the program codes stored in the storage medium.

[0073] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0074] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0075] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0076] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion module connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or expansion module is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0077] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0078] A person of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various media that can store program codes.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A simulation calculation method for large-scene electromagnetic echo data, characterized in that: include: Obtaining imaging viewing angle and incident electromagnetic parameters within a preset scene; Dividing the preset scene into multiple sub-areas; wherein the multiple sub-areas include multiple areas with dynamic targets and multiple areas without dynamic targets; Distributing the imaging viewing angle and the incident electromagnetic parameters to the multiple sub-regions according to the sub-region association relationship to perform simulation to obtain scattered field data; The scattered field data are post-processed to obtain electromagnetic echo data.

2. The method according to claim 1, characterized in that The step of distributing the imaging viewing angle and the incident electromagnetic parameter to the plurality of sub-regions according to the sub-region association relationship to perform simulation includes: When the sub-region is a region with dynamic targets, a BVH tree is constructed separately for each dynamic target in the sub-region, a kd tree is constructed for the remaining fixed targets and background in the sub-region, and the BVH tree is updated according to the trajectory of the dynamic targets in the preset scene to obtain an updated BVH tree; Based on the updated BVH tree and the kd tree, the scattered field data is determined; wherein the scattered field data includes a reflection point and a reflection direction.

3. The method according to claim 1, characterized in that: The step of distributing the imaging viewing angle and the incident electromagnetic parameter to the plurality of sub-regions according to the sub-region association relationship to perform simulation includes: When the sub-region is a region without dynamic targets, constructing a kd tree for the region without dynamic targets; Based on the kd tree, the scattered field data is determined; wherein the scattered field data includes a reflection point and a reflection direction.

4. The method according to claim 1, characterized in that: Also includes: The post-processing includes RCS generation, high-resolution imaging and echo generation.

5. A simulation computing device for large-scale electromagnetic echo data, characterized in that: include: A data acquisition module, used to acquire imaging viewing angles and incident electromagnetic parameters within a preset scene; A data division module, used for dividing the preset scene into multiple sub-areas; wherein the multiple sub-areas include multiple areas with dynamic targets and multiple areas without dynamic targets; A data processing module, used for distributing the imaging viewing angle and the incident electromagnetic parameters to the multiple sub-regions according to the sub-region association relationship to perform simulation and obtain scattered field data; The post-processing module is used to post-process the scattered field data to obtain electromagnetic echo data.

6. The device according to claim 5, characterized in that The step of distributing the imaging viewing angle and the incident electromagnetic parameter to the plurality of sub-regions according to the sub-region association relationship to perform simulation includes: When the sub-region is a region with dynamic targets, a BVH tree is constructed separately for each dynamic target in the sub-region, a kd tree is constructed for the remaining fixed targets and background in the sub-region, and the BVH tree is updated according to the trajectory of the dynamic targets in the preset scene to obtain an updated BVH tree; Based on the updated BVH tree and the kd tree, the scattered field data is determined, wherein the scattered field data includes a reflection point and a reflection direction.

7. The device according to claim 5, characterized in that The step of distributing the imaging viewing angle and the incident electromagnetic parameter to the plurality of sub-regions according to the sub-region association relationship to perform simulation includes: When the sub-region is a region without dynamic targets, constructing a kd tree for the region without dynamic targets; Based on the kd tree, the scattered field data is determined; wherein the scattered field data includes a reflection point and a reflection direction.

8. The device according to claim 5, characterized in that Also includes: The post-processing includes RCS generation, high-resolution imaging and echo generation.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 4 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the method according to any one of claims 1 to 4.

Images