A target simulation method, device and storage medium

Abstract

The present invention provides a target simulation method, device and storage medium, wherein the method comprises: firstly obtaining the first RCS data of the whole space corresponding to the first frequency of the target to be simulated; then determining the strong scattering area of ​​the target to be simulated according to the fluctuation characteristics of the first RCS data, the strong scattering area being the area where the RCS value is greater than the preset threshold; then performing scattering center diagnosis on the strong scattering area to obtain the diagnostic structure of the strong scattering area and the visible angular domain range corresponding to the diagnostic structure; finally adjusting the structure of the diagnostic structure, and performing an equivalence evaluation on the scattering characteristics of the adjusted structure and the diagnostic structure before the adjustment according to the visible angular domain range and the corresponding frequency; if the evaluation equivalence is high, the adjusted and optimized structure is determined as the simulation structure of the target to be simulated within this visible angular domain range. This scheme can simulate the local scattering characteristics of the target in detail, and the simulated scattering characteristics have good fluctuation characteristics and frequency dependence, and the overall fidelity is high.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of target simulation technology, and in particular to a target simulation method, device and storage medium. Background Art

[0002] At present, in the simulation design of some large targets, it is necessary to optimize the target to be simulated through the target simulation method to obtain a target suitable for manufacturing and production.

[0003] In the prior art, simulation of large targets mainly utilizes corner reflector units to simulate the regional strong scattering center of the target. However, traditional corner reflector units have a wide backscattering range and a large visible angular coverage range, and cannot perform fine simulation of local scattering characteristics. The simulated overall target scattering characteristics are not realistic.

[0004] Therefore, there is an urgent need for a target simulation method to solve the above technical problems. Summary of the invention

[0005] The embodiments of the present invention provide a target simulation method, device and storage medium, which can simulate the local structure of the target in detail, and the fluctuation characteristics of the simulated target have good dependence on frequency and high overall fidelity.

[0006] In a first aspect, an embodiment of the present invention provides a target simulation method, comprising:

[0007] Acquire the first RCS data of the whole space corresponding to the first frequency of the target to be simulated;

[0008] Determine a strong scattering region of the target to be simulated according to the fluctuation characteristics of the first RCS data; the strong scattering region is a region where the RCS value is greater than a preset threshold;

[0009] Performing scattering center diagnosis on the strong scattering region to obtain a diagnosis structure of the strong scattering region and a backscattering visible angular domain range corresponding to the diagnosis structure;

[0010] Performing structural adjustment and optimization on the diagnostic structure, and performing an equivalence evaluation on the scattering characteristics of the diagnostic structure after the adjustment and optimization and the diagnostic structure before the adjustment and optimization according to the visible angular domain range and the first frequency;

[0011] If the evaluation result is equivalent, the adjusted and optimized diagnostic structure is determined as the final structure of the target to be simulated within the visible angular domain.

[0012] In a possible design, the equivalence evaluation of the scattering characteristics of the diagnostic structure after adjustment and optimization and the diagnostic structure before adjustment and optimization includes:

[0013] Acquire the full-space second RCS data of the target to be simulated corresponding to the first frequency after adjustment and optimization;

[0014] Determine a first statistical difference between the second RCS data within the visible angular domain and the first RCS data within the visible angular domain, and a correlation coefficient between the fluctuation characteristics of the first RCS data within the visible angular domain and the second RCS data within the visible angular domain, determine a first comparison result between the first statistical difference and a preset value, and simultaneously evaluate the correlation coefficient result of the RCS data fluctuation characteristics, and determine whether the adjusted and optimized diagnostic structure and the diagnostic structure before the adjustment and optimization are equivalent according to the first comparison result and the correlation coefficient evaluation result.

[0015] In a possible design, determining whether the adjusted and optimized diagnostic structure is equivalent to the diagnostic structure before the adjustment and optimization according to the first comparison result and the correlation coefficient evaluation result includes:

[0016] If the first comparison result is that the first statistical difference is less than the preset value and the correlation coefficient evaluation result meets the preset indicator requirement, the following steps are performed:

[0017] Determining a first set number of mutually unequal second frequencies, each second frequency being unequal to the first frequency;

[0018] For each second frequency, the following are performed: obtaining the full-space third RCS data of the target to be simulated corresponding to the second frequency before adjustment and optimization, and the full-space fourth RCS data of the target to be simulated corresponding to the second frequency after adjustment and optimization; determining the second statistical difference between the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain and the correlation coefficient between the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain, determining a second comparison result between the second statistical difference and the preset value, and evaluating the correlation coefficient result of the RCS data fluctuation characteristic; determining whether the adjusted diagnostic structure and the diagnostic structure before the adjustment are equivalent based on the second comparison result of the first set number and the correlation coefficient evaluation result.

[0019] In a possible design, before determining whether the adjusted and optimized diagnostic structure is equivalent to the diagnostic structure before the adjustment and optimization according to the first comparison result and the correlation coefficient evaluation result, the method further includes:

[0020] If the first comparison result is that the first statistical difference is not less than the preset value and the correlation coefficient evaluation result does not meet the preset indicator requirement, continue to perform structural adjustment and optimization on the diagnostic structure until the first statistical difference is less than the preset value and the correlation coefficient evaluation result meets the preset indicator requirement.

[0021] In a possible design, after determining the strong scattering region of the target to be simulated and before performing scattering center diagnosis on the strong scattering region, the method further includes: determining an initial angular domain range corresponding to the strong scattering region;

[0022] The step of performing scattering center diagnosis on the strong scattering region to obtain a diagnosis structure of the strong scattering region includes:

[0023] Determine the RCS magnitude of each scattering center within the initial angular domain;

[0024] Determine the scattering centers corresponding to the second set number of maximum RCS magnitudes as the scattering centers to be diagnosed;

[0025] Performing scattering center diagnosis on the sub-scattering regions corresponding to each of the scattering centers to be diagnosed, and obtaining scattering characteristics of each sub-scattering region;

[0026] synthesizing the scattering characteristics of each sub-scattering region to obtain the overall scattering characteristics of the strong scattering region;

[0027] The diagnostic structure of the strong scattering region is determined according to the overall scattering characteristics.

[0028] In a possible design, the method for determining the visible angular range of the backscatter corresponding to the diagnostic structure includes:

[0029] Two angular domain endpoints in the angular domain range corresponding to each sub-scattering area are determined, and the minimum angular domain endpoint and the maximum angular domain endpoint are determined as the two angular domain endpoints of the visible angular domain range.

[0030] In a possible design, the structural adjustment and optimization of the diagnostic structure includes:

[0031] According to the processing and installation requirements, the diagnostic structure is structurally adjusted and optimized so that the adjusted and optimized diagnostic structure meets the processing and installation requirements.

[0032] In a second aspect, an embodiment of the present invention further provides a target simulation device, comprising:

[0033] An acquisition module, used for acquiring full-space first RCS data corresponding to a first frequency of a target to be simulated;

[0034] A determination module, configured to determine a strong scattering region of the target to be simulated according to the fluctuation characteristics of the first RCS data; the strong scattering region is a region where the RCS value is greater than a preset threshold;

[0035] A diagnosis module, used for performing scattering center diagnosis on the strong scattering area to obtain a diagnosis structure of the strong scattering area and a backscattering visible angular domain range corresponding to the diagnosis structure;

[0036] an adjustment and evaluation module, configured to perform structural adjustment and optimization on the diagnostic structure, and perform an equivalence evaluation on the scattering characteristics of the diagnostic structure after adjustment and optimization and the diagnostic structure before adjustment and optimization according to the visible angular domain range and the first frequency, and trigger a confirmation module to perform a corresponding operation if the evaluation result is that they are equivalent;

[0037] The confirmation module is used to determine the adjusted and optimized diagnostic structure as the final structure of the target to be simulated within the visible angle range.

[0038] In a third aspect, an embodiment of the present invention further provides a computing 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 this specification is implemented.

[0039] 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, enables the computer to execute the method described in any embodiment of this specification.

[0040] The embodiment of the present invention provides a target simulation method, device and storage medium. Since the strong scattering area for scattering center diagnosis is determined by using the fluctuation characteristics of RCS data, the size of the visible angular domain range corresponding to the diagnostic structure is more realistic. After the diagnostic structure is structurally adjusted, an equivalence evaluation is performed by evaluating the adjusted diagnostic structure and the diagnostic structure before the adjustment. When performing the equivalence evaluation, the visible angular domain range and frequency are considered to improve the dependence of the fluctuation characteristics of the simulated structure on the frequency, thereby ensuring the fidelity of the scattering characteristics of the adjusted diagnostic structure and the real target structure. It can be seen that this scheme can simulate the local scattering characteristics of the target in a fine manner, and the fluctuation characteristics of the obtained simulated target have good dependence on the frequency and high overall fidelity. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] 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.

[0042] Figure 1 is a flow chart of a target simulation method provided by an embodiment of the present invention;

[0043] Figure 2 is a hardware architecture diagram of a computing device provided by an embodiment of the present invention;

[0044] Figure 3 It is a structural diagram of a target simulation device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] As mentioned above, in the prior art, the simulation of large targets mainly uses corner reflector units to simulate the strong scattering center of the target area. However, the target scattering characteristics simulated by the corner reflector unit are not fine enough. Analysis of the above problems shows that the corner reflector unit has a wide backscattering range and flat scattering characteristics, which makes it impossible to simulate the scattering characteristics in a smaller angular range in detail. In addition, the fluctuation characteristics in a larger angular range are slow, and the backscattering characteristics and frequency dependence are quite different from the real target structure. Therefore, the fidelity of the simulated target is limited.

[0047] Therefore, in order to solve the above technical problems, it is possible to consider using the scattering center diagnosis method to simulate the local scattering characteristics of the target in a refined manner, so that the local scattering characteristics of the simulated target are more realistic.

[0048] The specific implementation of the above concept is described below.

[0049] Please refer to Figure 1 , an embodiment of the present invention provides a target simulation method, the method comprising:

[0050] Step 100, obtaining the first RCS data of the whole space corresponding to the first frequency of the target to be simulated;

[0051] Step 102, determining a strong scattering region of the target to be simulated according to the fluctuation characteristics of the first RCS data; the strong scattering region is a region where the RCS value is greater than a preset threshold;

[0052] Step 104, performing scattering center diagnosis on the strong scattering area to obtain a diagnosis structure of the strong scattering area and a backscattering visible angle range corresponding to the diagnosis structure;

[0053] Step 106, performing structural adjustment and optimization on the diagnostic structure, and performing an equivalence evaluation on the diagnostic structure after the adjustment and optimization and the diagnostic structure before the adjustment and optimization according to the visible angle range and the first frequency;

[0054] Step 108: If the evaluation result is equivalent, the adjusted and optimized diagnostic structure is determined as the final structure of the target to be simulated within the visible angle range.

[0055] In the embodiment of the present invention, the strong scattering area of ​​the target to be simulated is diagnosed by scattering center diagnosis, and the diagnostic structure of the strong scattering area and the visible angular domain range corresponding to the diagnostic structure are obtained; then the diagnostic structure is structurally adjusted and optimized, and if the adjusted diagnostic structure is equivalent to the diagnostic structure before the adjustment, the adjusted diagnostic structure is determined as the simulation structure of the target to be simulated within the visible angular domain range. The method provided in this embodiment can simulate the local scattering characteristics of the target in detail, and the fluctuation characteristics of the simulated target have good dependence on frequency, and the overall fidelity is high.

[0056] Described below Figure 1 How the various steps are performed.

[0057] First, with respect to step 100, full-space first RCS data corresponding to a first frequency of a target to be simulated is obtained.

[0058] The first frequency is an initial frequency pre-determined within a frequency range, and the frequency range can be determined according to the requirements of the demander. For example, the frequency range is 1-20 MHz, and the first frequency is 5 MHz.

[0059] In one implementation, the full-space RCS data of the target to be simulated at the first frequency may be acquired through modeling and simulation according to the target to be simulated.

[0060] Among them, the first RCS data in the whole space refers to the RCS data within the angular range of 0 to 90° for pitch angle and 0 to 360° for azimuth angle, which includes the corresponding relationship between the angular range value and the RCS value.

[0061] Then, for step 102, a strong scattering region of the target to be simulated is determined according to the fluctuation characteristics of the first RCS data; the strong scattering region is a region where the RCS value is greater than a preset threshold.

[0062] Since the first RCS data of the entire space is the correspondence between each angular domain value and the RCS value, and the RCS values ​​are high and low, the fluctuation characteristics of the first RCS data can be obtained.

[0063] It is understandable that for the target to be simulated, the strong scattering area is the main contributing area, and this area needs to be analyzed and adjusted in detail.

[0064] In one embodiment of the present invention, a threshold can be set according to the engineering application, and then the area with RCS values ​​greater than the threshold in the angular range is regarded as a strong scattering area, and the next step of diagnosis is performed on the area. In addition, there can be one or more strong scattering areas, which need to be determined one by one according to the fluctuation characteristics of the RCS data.

[0065] Next, for step 104, a scattering center diagnosis is performed on the strong scattering region to obtain a diagnosis structure of the strong scattering region and a backscattering visible angular domain range corresponding to the diagnosis structure.

[0066] In some embodiments, after determining the strong scattering area of ​​the target to be simulated, the method further includes: determining an initial angular domain range corresponding to the strong scattering area; wherein the initial angular domain range is a continuous angular domain range in which the RCS values ​​determined in step 102 are all greater than a preset threshold. For example, the initial angular domain range is 0 to 10° in azimuth and 0 to 10° in elevation.

[0067] There may be multiple scattering centers within the initial angular domain. In one embodiment, when performing scattering center diagnosis on the strong scattering region, scattering center diagnosis is performed on each existing scattering center. However, considering that the scattering values ​​corresponding to some scattering centers are small, the impact on the local scattering characteristics corresponding to the strong scattering region is small. Therefore, in another embodiment, the diagnostic structure of the strong scattering region can be determined in the following manner: determine the RCS level of each scattering center within the initial angular domain; determine the scattering center corresponding to the maximum RCS level of the second set number as the scattering center to be diagnosed; perform scattering center diagnosis on the sub-scattering regions corresponding to each scattering center to be diagnosed, and obtain the scattering characteristics of each sub-scattering region; synthesize the scattering characteristics of each sub-scattering region to obtain the overall scattering characteristics of the strong scattering region, and determine the diagnostic structure of the strong scattering region based on the overall scattering characteristics.

[0068] The second set number is a value obtained based on actual needs and engineering experience. For example, the second set number can be 3 or another number, and this application does not make any specific limitation.

[0069] When screening scattering centers, the RCS level of each scattering center can be determined first, and then they can be sorted according to the size of the RCS level, and the scattering center corresponding to the maximum RCS level of the second set number can be determined as the scattering center to be diagnosed; for example, when the second set number is 3, then the area corresponding to the scattering centers with the top three RCS levels from multiple scattering centers is selected as the area to be diagnosed.

[0070] It should be noted that if the number of scattering centers in the strong scattering region is not greater than the second set number, all scattering centers in the strong scattering region are determined as scattering centers to be diagnosed to ensure the accuracy of the obtained diagnostic structure and the real structure. For example, if the second set number is 3, and the number of scattering centers in a certain strong scattering region is 1 or 2, each scattering center is diagnosed.

[0071] Then, scattering center diagnosis is performed on the sub-scattering regions corresponding to each scattering center to be diagnosed, and the scattering characteristics of each sub-scattering region are obtained;

[0072] Finally, the scattering characteristics of each sub-scattering region are synthesized to obtain the overall scattering characteristics of the strong scattering region, and the diagnostic structure of the strong scattering region is determined based on the overall scattering characteristics.

[0073] In this embodiment, by diagnosing the regions corresponding to several scattering centers with the largest RCS magnitudes and abandoning some regions with small scattering magnitudes, not only the accuracy of the diagnosed structure can be ensured, but also computer resources can be saved.

[0074] In some embodiments, scattering center diagnosis is performed on each sub-scattering area corresponding to the scattering center to be diagnosed, and the angular domain range corresponding to each sub-scattering area and the two endpoints of the angular domain range can also be obtained, and the minimum angular domain endpoint and the maximum angular domain endpoint are determined as the two angular domain endpoints of the visible angular domain range; for example, the angular domain ranges corresponding to the three sub-scattering areas A, B, and C are 2~4°, 4~6°, and 6~8°, respectively. Then, in the three areas, the minimum angular domain endpoint and the maximum angular domain endpoint are 2° and 8°, respectively. Therefore, it can be determined that the visible angular domain range corresponding to the area to be diagnosed is 2~8°, and the angular domain range determined by this method is more accurate.

[0075] Finally, step 106 "structurally adjust and optimize the diagnostic structure, and evaluate the equivalence of the adjusted diagnostic structure and the diagnostic structure before and after the adjustment based on the visible angular range and the first frequency" and step 108 "if the evaluation result is equivalent, determine the adjusted diagnostic structure as the simulation structure of the target to be simulated within the visible angular range" are explained at the same time.

[0076] In some embodiments, after adjusting the diagnostic structure, an equivalence evaluation needs to be performed on the adjusted and optimized diagnostic structure, including:

[0077] Obtaining the adjusted full-space second RCS data of the target to be simulated corresponding to the first frequency;

[0078] Determine the first statistical difference between the second RCS data within the visible angular domain and the first RCS data within the visible angular domain, as well as the correlation coefficient between the fluctuation characteristics of the first RCS data within the visible angular domain and the second RCS data within the visible angular domain, determine the first comparison result between the first statistical difference and the preset value, and simultaneously evaluate the correlation coefficient result of the RCS data fluctuation characteristics, and determine whether the adjusted and optimized diagnostic structure and the adjusted and optimized diagnostic structure are equivalent based on the first comparison result and the correlation coefficient evaluation result. It should be noted that the first statistical difference can be the mean difference or median difference of the RCS, or other values ​​that can reflect the difference in spatial distribution of the RCS, and this application does not make specific limitations.

[0079] In some implementations, the implementation of the equivalence evaluation in step 106 may include the following steps:

[0080] S1. If the first comparison result is that the first statistical difference is less than a preset value and the correlation coefficient evaluation result meets the preset indicator requirement, a first set number of mutually unequal second frequencies are determined, and each second frequency is not equal to the first frequency.

[0081] In this step, the user can determine the number of second frequencies according to the size of the applicable frequency range of the target to be simulated. For example, when the frequency range is 0-20MHZ and the first frequency is 5MHZ, a number of second frequencies, such as 3-8, can be arbitrarily selected within the remaining frequency range. In addition, when determining the second frequency, the value can be randomly selected or equally spaced according to user needs, and this application does not make specific restrictions. In addition, the preset index requirement is a correlation coefficient value determined according to user requirements. For example, the correlation coefficient value can be 90%. Then, when the correlation coefficient of the fluctuation characteristics of the two sets of RCS data is determined to be greater than or equal to 90%, the evaluation result is that the preset index requirement is met. Otherwise, the evaluation result is that the preset index requirement is not met. Of course, the higher the preset index requirement, the more accurate the simulated scattering characteristics, and this application does not make specific restrictions on this index.

[0082] S2. After determining the second frequency, for each second frequency, the following steps are performed: obtaining the full-space third RCS data of the target to be simulated corresponding to the second frequency before adjustment, and the full-space fourth RCS data of the target to be simulated corresponding to the second frequency after adjustment; determining a second statistical difference between the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain, and a correlation coefficient between the fluctuation characteristics of the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain, determining a second comparison result between the second statistical difference and the preset value, and simultaneously evaluating the correlation coefficient results of the fluctuation characteristics of the two groups of RCS data;

[0083] S3. Determine whether the adjusted diagnosis structure is equivalent to the unadjusted diagnosis structure according to the first set number of second comparison results and evaluation results.

[0084] In this embodiment, if all the second comparison results have second statistical differences that are less than the preset value and the evaluation results meet the preset index requirements, it can be determined that the adjusted diagnostic structure is equivalent to the diagnostic structure before adjustment. In this case, the fluctuation characteristics of the obtained simulated structure have the best dependence on frequency and the highest overall realism.

[0085] It should be noted that when the user does not have very high requirements for the realism of the simulated structure, it can be allowed that some of the second statistical differences are greater than the preset value or the correlation is slightly worse. For example, when only 80% of the second statistical differences are less than the preset value, the adjusted diagnostic structure can also be considered to be equivalent to the diagnostic structure before the adjustment. It’s just that in this case, the fluctuation characteristics of the adjusted diagnostic structure are slightly less dependent on the frequency, but within the allowable range.

[0086] It should also be noted that, in some embodiments, in order to save computer resources and improve the calculation speed, for each second frequency, only the third RCS data of the diagnostic structure before adjustment and the fourth RCS data of the diagnostic structure after adjustment within the visible angular domain are obtained, and then the second statistical difference between the third RCS data and the fourth RCS data, as well as the correlation coefficient of the fluctuation characteristics of the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain are determined, and the second comparison result of the second statistical difference and the preset value is determined, and the correlation coefficient results of the fluctuation characteristics of the two sets of RCS data are evaluated at the same time; finally, based on all the second comparison results and the evaluation results, it is determined whether the adjusted diagnostic structure and the diagnostic structure before adjustment are equivalent.

[0087] In some embodiments, before determining whether the adjusted diagnostic structure is equivalent to the diagnostic structure before the adjustment according to the first comparison result, the method further includes:

[0088] If the first comparison result is that the first statistical difference is not less than the preset value and the correlation coefficient evaluation result does not meet the preset indicator requirements, the diagnostic structure continues to be structurally adjusted and optimized until the first statistical difference is less than the preset value and the correlation coefficient evaluation result meets the preset indicator requirements. In this way, the accuracy of the adjusted diagnostic structure can be guaranteed.

[0089] In some embodiments, modifying the diagnostic structure comprises:

[0090] According to the processing and installation requirements, the diagnostic structure is adjusted so that the adjusted diagnostic structure meets the processing and installation requirements. For example, when the diagnostic structure is a sharp part, it is not conducive to processing and manufacturing. At this time, the part can be smoothed. However, the RCS scattering characteristics of the adjusted structure cannot be significantly changed, so it is necessary to perform an equivalence analysis on the adjusted structure and the structure before and after the adjustment.

[0091] With respect to step 108, when the adjusted diagnostic structure is equivalent to the diagnostic structure before adjustment, the adjusted diagnostic structure is determined as the simulation structure of the target to be simulated within the visible angular domain, and the simulation structure is used as part of the design solution for production and manufacturing.

[0092] like Figure 2 , Figure 3 As shown, an embodiment of the present invention provides a target simulation device. 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 a computing device where a target simulation device is provided in an embodiment of the present invention, except Figure 2 In addition to the processor, memory, network interface, and non-volatile memory shown in the figure, the computing device in which the device is located in the embodiment may also generally 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 computing device in which it is located reads the corresponding computer program in the non-volatile memory into the memory and runs it. This embodiment provides a target simulation device, including:

[0093] An acquisition module 300 is used to acquire full-space first RCS data corresponding to a first frequency of a target to be simulated;

[0094] A determination module 302 is used to determine a strong scattering area of ​​the target to be simulated according to the fluctuation characteristics of the first RCS data; the strong scattering area is an area where the RCS value is greater than a preset threshold;

[0095] A diagnosis module 304 is used to perform scattering center diagnosis on the strong scattering area to obtain a diagnosis structure of the strong scattering area and a backscattering visible angle range corresponding to the diagnosis structure;

[0096] An adjustment and evaluation module 306 is used to adjust and optimize the diagnostic structure, and to evaluate the equivalence of the scattering characteristics of the diagnostic structure after the adjustment and optimization and the diagnostic structure before the adjustment and optimization according to the visible angle range and the first frequency. If the evaluation result shows that the diagnostic structure is equivalent, the confirmation module is triggered to perform corresponding operations.

[0097] The confirmation module 308 is used to determine the adjusted and optimized diagnosis structure as the final structure of the target to be simulated within the visible angle range.

[0098] In an embodiment of the present invention, the acquisition module 300 can be used to execute step 100 in the above method embodiment, the determination module 302 can be used to execute step 102 in the above method embodiment, the diagnosis module 304 can be used to execute step 104 in the above method embodiment, the adjustment and evaluation module 306 can be used to execute step 106 in the above method embodiment, and the confirmation module 308 can be used to execute step 108 in the above method embodiment.

[0099] In one embodiment of the present invention, the adjustment evaluation module 306 is specifically used to:

[0100] Obtaining the full-space second RCS data corresponding to the first frequency of the target to be simulated after adjustment and optimization;

[0101] Determine a first statistical difference between the second RCS data within the visible angular range and the first RCS data within the visible angular range, as well as a correlation coefficient between the fluctuation characteristics of the first RCS data and the second RCS data, determine a first comparison result of the first statistical difference with a preset value, and simultaneously evaluate the correlation coefficient result of the RCS data fluctuation characteristics, and determine whether the adjusted and optimized diagnostic structure is equivalent to the diagnostic structure before the adjustment and optimization based on the first comparison result and the correlation coefficient evaluation result.

[0102] In one embodiment of the present invention, determining whether the adjusted and optimized diagnostic structure is equivalent to the diagnostic structure before the adjustment and optimization according to the first comparison result and the correlation coefficient evaluation result specifically includes:

[0103] If the first comparison result is that the first statistical difference is less than the preset value and the correlation coefficient evaluation result meets the preset indicator requirements, the following steps are performed:

[0104] Determining a first set number of mutually unequal second frequencies, each second frequency being unequal to the first frequency;

[0105] For each second frequency, the following are performed: obtaining the full-space third RCS data of the target to be simulated corresponding to the second frequency before adjustment, and the full-space fourth RCS data of the target to be simulated corresponding to the second frequency after adjustment; determining the second statistical difference between the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain and the correlation coefficient between the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain, determining a second comparison result between the second statistical difference and a preset value, and evaluating the correlation coefficient result of the RCS data fluctuation characteristic; determining whether the adjusted diagnostic structure is equivalent to the diagnostic structure before the adjustment based on the first set number of second comparison results and correlation coefficient evaluation results.

[0106] In one embodiment of the present invention, if the first comparison result is that the first statistical difference is not less than the preset value and the correlation coefficient evaluation result does not meet the preset indicator requirements, the diagnostic structure continues to be structurally adjusted and optimized until the first statistical difference is less than the preset value and the correlation coefficient evaluation result meets the preset indicator requirements.

[0107] In one embodiment of the present invention, after determining the strong scattering area of ​​the target to be simulated and before performing scattering center diagnosis on the strong scattering area, it also includes: determining the initial angular domain range corresponding to the strong scattering area; the diagnosis module 304 is specifically used to:

[0108] Determine the RCS magnitude of each scattering center within the initial angular domain;

[0109] Determine the scattering centers corresponding to the second set number of maximum RCS magnitudes as the scattering centers to be diagnosed;

[0110] Perform scattering center diagnosis on the sub-scattering regions corresponding to each scattering center to be diagnosed, and obtain the scattering characteristics of each sub-scattering region;

[0111] The scattering characteristics of each sub-scattering region are synthesized to obtain the overall scattering characteristics of the strong scattering region, and the diagnostic structure of the strong scattering region is determined based on the overall scattering characteristics.

[0112] In one embodiment of the present invention, the diagnosis module 304 is further configured to:

[0113] Two angular domain endpoints in the angular domain range corresponding to each sub-scattering region are determined, and the minimum angular domain endpoint and the maximum angular domain endpoint are determined as the two angular domain endpoints of the visible angular domain range.

[0114] In one embodiment of the present invention, the adjustment module 306 is specifically used to:

[0115] According to the processing and installation requirements, the diagnostic structure is structurally adjusted and optimized so that the adjusted diagnostic structure meets the processing and installation requirements.

[0116] It is to be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on a target simulation device. In other embodiments of the present invention, a target simulation device 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.

[0117] 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.

[0118] An embodiment of the present invention further provides a computing device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a target simulation method in any embodiment of the present invention is implemented.

[0119] 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 target simulation method in any embodiment of the present invention.

[0120] Specifically, a system or device equipped with a storage medium can be provided, on which software program code that implements the functions of any of the above-mentioned embodiments is stored, and a computer (or CPU or MPU) of the system or device can be enabled to read and execute the program code stored in the storage medium.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical factors in the process, method, article or device including the elements.

[0126] 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.

[0127] 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 target simulation method, characterized in that: include: Acquire the first RCS data of the whole space corresponding to the first frequency of the target to be simulated; Determining a strong scattering region of the target to be simulated according to the fluctuation characteristics of the first RCS data; The strong scattering area is an area where the RCS value is greater than a preset threshold; Performing scattering center diagnosis on the strong scattering region to obtain a diagnosis structure of the strong scattering region and a backscattering visible angular domain range corresponding to the diagnosis structure; Performing structural adjustment and optimization on the diagnostic structure, and performing an equivalence evaluation on the scattering characteristics of the diagnostic structure after the adjustment and optimization and the diagnostic structure before the adjustment and optimization according to the visible angular domain range and the first frequency; If the evaluation result is equivalent, the adjusted and optimized diagnostic structure is determined as the final structure of the target to be simulated within the visible angle range; The equivalence evaluation of the scattering characteristics of the adjusted and optimized diagnostic structure and the diagnostic structure before the adjustment and optimization comprises: Acquire the full-space second RCS data of the target to be simulated corresponding to the first frequency after adjustment and optimization; Determine a first statistical difference between the second RCS data within the visible angular domain and the first RCS data within the visible angular domain, and a correlation coefficient between the fluctuation characteristics of the first RCS data within the visible angular domain and the second RCS data within the visible angular domain, determine a first comparison result between the first statistical difference and a preset value, and simultaneously evaluate the correlation coefficient result of the RCS data fluctuation characteristics, and determine whether the adjusted and optimized diagnostic structure and the diagnostic structure before the adjustment and optimization are equivalent according to the first comparison result and the correlation coefficient evaluation result.

2. The method according to claim 1, characterized in that The determining, according to the first comparison result and the correlation coefficient evaluation result, whether the adjusted and optimized diagnostic structure is equivalent to the diagnostic structure before the adjustment and optimization includes: If the first comparison result is that the first statistical difference is less than the preset value and the correlation coefficient evaluation result meets the preset indicator requirement, the following steps are performed: Determining a first set number of mutually unequal second frequencies, each second frequency being unequal to the first frequency; For each second frequency, the following are performed: obtaining the full-space third RCS data of the target to be simulated corresponding to the second frequency before adjustment and optimization, and the full-space fourth RCS data of the target to be simulated corresponding to the second frequency after adjustment and optimization; determining the second statistical difference between the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain and the correlation coefficient between the third RCS data within the visible angular domain and the fourth RCS data within the visible angular domain, determining a second comparison result between the second statistical difference and the preset value, and evaluating the correlation coefficient result of the RCS data fluctuation characteristic; determining whether the adjusted diagnostic structure and the diagnostic structure before the adjustment are equivalent based on the second comparison result of the first set number and the correlation coefficient evaluation result.

3. The method according to claim 1, characterized in that Before determining whether the adjusted and optimized diagnostic structure is equivalent to the diagnostic structure before the adjustment and optimization according to the first comparison result and the correlation coefficient evaluation result, the method further includes: If the first comparison result is that the first statistical difference is not less than the preset value and the correlation coefficient evaluation result does not meet the preset indicator requirement, continue to perform structural adjustment and optimization on the diagnostic structure until the first statistical difference is less than the preset value and the correlation coefficient evaluation result meets the preset indicator requirement.

4. The method according to any one of claims 1 to 3, characterized in that: After determining the strong scattering area of ​​the target to be simulated and before performing scattering center diagnosis on the strong scattering area, the method further includes: determining an initial angular domain range corresponding to the strong scattering area; The step of performing scattering center diagnosis on the strong scattering region to obtain a diagnosis structure of the strong scattering region includes: Determine the RCS magnitude of each scattering center within the initial angular domain; Determine the scattering centers corresponding to the second set number of maximum RCS magnitudes as the scattering centers to be diagnosed; Performing scattering center diagnosis on the sub-scattering regions corresponding to each of the scattering centers to be diagnosed, and obtaining scattering characteristics of each sub-scattering region; synthesizing the scattering characteristics of each sub-scattering region to obtain the overall scattering characteristics of the strong scattering region; The diagnostic structure of the strong scattering region is determined according to the overall scattering characteristics.

5. The method according to claim 4, characterized in that The method for determining the visible angular range of the backscatter corresponding to the diagnostic structure includes: Two angular domain endpoints in the angular domain range corresponding to each sub-scattering area are determined, and the minimum angular domain endpoint and the maximum angular domain endpoint are determined as the two angular domain endpoints of the visible angular domain range.

6. The method according to any one of claims 1 to 3, characterized in that: The structural adjustment and optimization of the diagnostic structure includes: According to the processing and installation requirements, the diagnostic structure is structurally adjusted and optimized so that the adjusted and optimized diagnostic structure meets the processing and installation requirements.

7. A target simulation device, characterized in that: include: An acquisition module, used for acquiring full-space first RCS data corresponding to a first frequency of a target to be simulated; A determination module, used to determine a strong scattering area of ​​the target to be simulated according to the fluctuation characteristics of the first RCS data; The strong scattering area is an area where the RCS value is greater than a preset threshold; A diagnosis module, used for performing scattering center diagnosis on the strong scattering area to obtain a diagnosis structure of the strong scattering area and a backscattering visible angular domain range corresponding to the diagnosis structure; an adjustment and evaluation module, configured to perform structural adjustment and optimization on the diagnostic structure, and perform an equivalence evaluation on the scattering characteristics of the diagnostic structure after adjustment and optimization and the diagnostic structure before adjustment and optimization according to the visible angular domain range and the first frequency, and trigger a confirmation module to perform a corresponding operation if the evaluation result is that they are equivalent; The confirmation module is used to determine the adjusted and optimized diagnostic structure as the final structure of the target to be simulated within the visible angle range; The equivalence evaluation of the scattering characteristics of the adjusted and optimized diagnostic structure and the diagnostic structure before the adjustment and optimization comprises: Acquire the full-space second RCS data of the target to be simulated corresponding to the first frequency after adjustment and optimization; Determine a first statistical difference between the second RCS data within the visible angular domain and the first RCS data within the visible angular domain, and a correlation coefficient between the fluctuation characteristics of the first RCS data within the visible angular domain and the second RCS data within the visible angular domain, determine a first comparison result between the first statistical difference and a preset value, and simultaneously evaluate the correlation coefficient result of the RCS data fluctuation characteristics, and determine whether the adjusted and optimized diagnostic structure and the diagnostic structure before the adjustment and optimization are equivalent according to the first comparison result and the correlation coefficient evaluation result.

8. A computing device, comprising 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 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the method according to any one of claims 1 to 6.

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