A method and device for simulating and evaluating RCS of a point source corner reflector array

Abstract

The present invention relates to a method and device for simulating and evaluating RCS of a point source corner reflector array. A specific implementation of the method includes: performing electromagnetic simulation calculation on a point source corner reflector array to be evaluated to obtain a radar cross section RCS value of the point source corner reflector array; smoothing the obtained RCS value of the point source corner reflector array to obtain a smoothed RCS value; evaluating the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value; wherein the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS elevation distribution uniformity. This implementation can accurately evaluate the RCS simulation accuracy and RCS distribution uniformity of a point source corner reflector array.

Description

Technical Field

[0001] The present invention relates to the field of electromagnetic property technology, and in particular to a method and device for simulating and evaluating RCS of a point source corner reflector array. Background Art

[0002] Corner reflector is a type of reflector, which is a rigid structure composed of mutually perpendicular metal surfaces. Corner reflector is a passive reflector with extremely strong echo reflection characteristics. Traditional corner reflectors are used as RCS enhancers, calibration bodies or targets because of their strong backscattering radar cross section (RCS) in a wide angle range. They are widely used in maritime search and rescue, indoor and outdoor target characteristic testing, target targets and other fields.

[0003] Point source corner reflector arrays are usually composed of multiple corner reflectors with different positions and orientations installed on a single bracket structure, which is used to simulate RCS strong points within a certain angle coverage range. The traditional RCS simulation evaluation method of point source corner reflector arrays is to count the deviation between the RCS linear mean of the corner reflector array and the required nominal value, and measure the quality of RCS simulation according to the deviation. However, with the continuous improvement of the requirements for RCS simulation of point source corner reflector arrays, this method has the disadvantages of being unable to quantitatively evaluate whether the RCS distribution is uniform and whether the RCS simulation accuracy is accurate.

[0004] Therefore, a more comprehensive and accurate RCS simulation and evaluation method for point source corner reflector arrays is urgently needed to provide a basis and guidance for the design of point source corner reflector arrays. Summary of the invention

[0005] In view of the defects in the prior art, the present invention provides a method and device for RCS simulation evaluation of a point source corner reflector array, which can accurately evaluate the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array.

[0006] In order to solve the above technical problems, in one aspect, an embodiment of the present invention provides a point source corner reflector array RCS simulation evaluation.

[0007] The RCS simulation evaluation method of a point source corner reflector array in an embodiment of the present invention includes: performing electromagnetic simulation calculations on a point source corner reflector array to be evaluated to obtain a radar cross section RCS value of the point source corner reflector array; smoothing the obtained RCS value of the point source corner reflector array to obtain a smoothed RCS value; and evaluating the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value; wherein the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS elevation distribution uniformity.

[0008] Optionally, the acquired RCS value of the point source corner reflector array is smoothed to obtain a smoothed RCS value, including: for any target azimuth angle in the preset azimuth simulation angle range, an azimuth angle range whose angle difference with the target azimuth angle is not greater than a preset azimuth smoothing angle is determined as an azimuth smoothing range; for any target pitch angle in the preset pitch simulation angle range, an elevation angle range whose angle difference with the target pitch angle is not greater than a preset pitch smoothing angle is determined as a pitch smoothing range; and a linear mean of the RCS values ​​of the point source corner reflector array in the azimuth smoothing range and the pitch smoothing range is determined as the smoothed RCS value of the point source corner reflector array at the target azimuth angle and the target pitch angle.

[0009] Optionally, the RCS simulation accuracy of the point source corner reflector array is evaluated based on the smoothed RCS values, including: for the smoothed RCS values ​​of the point source corner reflector array at any azimuth and any elevation angle, obtaining the proportion of RCS values ​​in the smoothed RCS values ​​that deviate from the RCS values ​​required to be simulated within a preset first amplitude; when the proportion is not less than a preset first threshold, the overall RCS accuracy of the point source corner reflector array is evaluated as passed.

[0010] Optionally, the RCS simulation accuracy of the point source corner reflector array is evaluated based on the smoothed RCS values, including: for the smoothed RCS values ​​of the point source corner reflector array at any azimuth and any elevation angle, obtaining the proportion of RCS values ​​in the smoothed RCS values ​​that deviate from the RCS values ​​required to be simulated within a preset second amplitude; wherein the second amplitude is smaller than the first amplitude; when the proportion is not less than a preset second threshold, the center RCS accuracy of the point source corner reflector array is evaluated as passed.

[0011] Optionally, the RCS distribution uniformity of the point source corner reflector array is evaluated based on the smoothed RCS value, including: obtaining the linear mean of the RCS value for each continuous azimuth angle of the point source corner reflector array within a preset azimuth angle span; using the azimuth angle span to traverse the azimuth simulation angle range to obtain a plurality of linear means of the RCS values; and evaluating the RCS azimuth distribution uniformity of the point source corner reflector array as passed when the deviation between the linear mean of each RCS value and the required simulated RCS value is no more than a preset third amplitude.

[0012] Optionally, the RCS distribution uniformity of the point source corner reflector array is evaluated according to the smoothed RCS value, including: obtaining the linear mean of the RCS value for each continuous pitch angle of the point source corner reflector array within a preset pitch angle span; using the azimuth angle span to traverse the pitch simulation angle range to obtain a plurality of linear means of the RCS values; and evaluating the RCS pitch distribution uniformity of the point source corner reflector array as passed when the deviation between the linear mean of each RCS value and the required simulated RCS value is no more than a preset fourth amplitude.

[0013] Optionally, the azimuth smoothing angle and the elevation smoothing angle are both 2°, the simulation angle step sizes in the azimuth and elevation directions are both 0.2°, the first amplitude, the third amplitude and the fourth amplitude are 3 dB, and the second amplitude is 1.5 dB.

[0014] In order to solve the above technical problem, on the other hand, an embodiment of the present invention provides a point source corner reflector array RCS simulation evaluation device.

[0015] The point source corner reflector array RCS simulation and evaluation device of the embodiment of the present invention may include: a simulation unit, used to: perform electromagnetic simulation calculations on the point source corner reflector array to be evaluated, and obtain the radar scattering cross section RCS value of the point source corner reflector array; a data processing unit, used to: smooth the acquired RCS value of the point source corner reflector array to obtain the smoothed RCS value; an evaluation unit, used to: evaluate the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value; wherein the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS elevation distribution uniformity.

[0016] To achieve the above objective, according to another aspect of the present invention, an electronic device is provided.

[0017] An electronic device of the present invention includes: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the point source corner reflector array RCS simulation evaluation method provided by the present invention.

[0018] To achieve the above objective, according to yet another aspect of the present invention, a computer-readable storage medium is provided.

[0019] A computer-readable storage medium of the present invention stores a computer program, which, when executed by a processor, implements the point source corner reflector array RCS simulation evaluation method provided by the present invention.

[0020] The implementation of the RCS simulation evaluation method and device of the point source corner reflector array of the present invention has the following beneficial effects: first, electromagnetic simulation calculation is performed on the point source corner reflector array to be evaluated to obtain the radar cross section RCS value of the point source corner reflector array; then, the obtained RCS value of the point source corner reflector array is smoothed to obtain the smoothed RCS value; thereafter, the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array are evaluated according to the smoothed RCS value. Through the above steps, the RCS simulation level of the point source corner reflector array can be evaluated more comprehensively and accurately, including the evaluation of the RCS simulation accuracy and the evaluation of the RCS distribution uniformity, providing a design basis and guidance for the point source corner reflector array. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 Schematic diagram of the main steps of the point source corner reflector array RCS simulation evaluation method according to an embodiment of the present invention;

[0022] Figure 2 is a first schematic diagram of a point source corner reflector array according to an embodiment of the present invention;

[0023] Figure 3 is a second schematic diagram of a point source corner reflector array according to an embodiment of the present invention;

[0024] Figure 4 Schematic diagram of the basic concept of the point source corner reflector array RCS simulation evaluation method according to an embodiment of the present invention;

[0025] Figure 5 It is a schematic diagram of components of a point source corner reflector array RCS simulation evaluation device according to an embodiment of the present invention;

[0026] Figure 6 It is a schematic diagram of the structure of an electronic device used to implement the RCS simulation evaluation method of a point source corner reflector array in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Figure 1 4 is a schematic diagram of the main steps of the RCS simulation evaluation method of a point source corner reflector array according to an embodiment of the present invention.

[0029] like Figure 1 As shown, the point source corner reflector array RCS simulation evaluation method of the embodiment of the present invention can be specifically performed according to the following steps:

[0030] Step S101: performing electromagnetic simulation calculation on a point source corner reflector array to be evaluated, and obtaining a radar cross section (RCS) value of the point source corner reflector array.

[0031] In this step, RCS simulation calculations can be performed on the point source corner reflector array within a preset azimuth simulation angle range and a preset elevation simulation angle range. In specific applications, simulation calculations can be performed according to a fixed simulation angle step. For example, the simulation angle step sizes in both azimuth and elevation can be 0.2°.

[0032] Step S102: Smoothing the acquired RCS value of the point source corner reflector array to obtain a smoothed RCS value.

[0033] In this step, since the specific RCS value of the point source corner reflector array at a certain azimuth and elevation angle is more sensitive than the azimuth and elevation angle, the RCS value in the vicinity can be smoothed to make the subsequent analysis more reasonable.

[0034] In an embodiment of the present invention, smoothing processing can be performed by the following steps. For any target azimuth angle in the preset azimuth simulation angle range, the azimuth angle range whose angle difference with the target azimuth angle is not greater than the preset azimuth smoothing angle (for example, 2°) is determined as the azimuth smoothing range; for any target pitch angle in the preset elevation simulation angle range, the elevation angle range whose angle difference with the target pitch angle is not greater than the preset elevation smoothing angle (for example, 2°) is determined as the elevation smoothing range; the linear mean of the RCS values ​​of the point source corner reflector array in the azimuth smoothing range and the elevation smoothing range is determined as the smoothed RCS value of the point source corner reflector array at the target azimuth angle and the target elevation angle. It should be noted that the above azimuth smoothing range may include an azimuth angle greater than the target azimuth angle, and may also include an azimuth angle less than the target azimuth angle; the above elevation smoothing range may include a pitch angle greater than the target pitch angle, and may also include a pitch angle less than the target pitch angle.

[0035] Step S103: evaluating the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value.

[0036] In this step, the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS pitch distribution uniformity. The following describes the evaluation process for the overall RCS accuracy, the center RCS accuracy, the RCS azimuth distribution uniformity, and the RCS pitch distribution uniformity.

[0037] Regarding the overall RCS accuracy, for the smoothed RCS values ​​of the point source corner reflector array at any azimuth angle and any elevation angle, the proportion of RCS values ​​whose deviation from the RCS value required to be simulated is within a preset first amplitude (e.g., 3 dB) in the smoothed RCS values ​​is obtained. It can be understood that the RCS value whose deviation is within the preset first amplitude can be greater than, less than, or equal to the RCS value required to be simulated.

[0038] As an alternative, the percentage can be To represent, where f R (x) is the probability density function formed by the smoothed RCS value, where x is the serial number of each RCS value; σ is the RCS value required to be simulated.

[0039] If the proportion is not less than a preset first threshold (e.g., 0.8), the overall RCS accuracy of the point source corner reflector array is evaluated as passed. It can be understood that when most RCS values ​​exceeding the first threshold are within 3 dB of the required simulation value, it indicates that the overall simulation accuracy is high.

[0040] Regarding the center RCS accuracy, for the smoothed RCS value of the point source corner reflector array at any azimuth angle and any elevation angle, obtain the proportion of RCS values ​​in the smoothed RCS value whose deviation from the RCS value required to be simulated is within a preset second amplitude (e.g., 1.5 dB). The second amplitude is smaller than the first amplitude. It can be understood that the RCS value with the deviation within the preset second amplitude can be greater than, less than, or equal to the RCS value required to be simulated.

[0041] As an alternative, the percentage can be To express.

[0042] When the proportion is not less than a preset second threshold (e.g., 0.5), the center RCS accuracy of the point source corner reflector array is evaluated as passed. It can be understood that when more than a certain proportion of RCS values ​​are within 1.5 dB of the required simulation value, it means that the simulation center accuracy is high.

[0043] Regarding the uniformity of RCS azimuth distribution, for the smoothed RCS value of each continuous azimuth angle within a preset azimuth angle span (e.g., 4°) of the point source corner reflector array, obtain the linear mean of the RCS value; use the azimuth angle span to traverse the azimuth simulation angle range to obtain the linear mean of multiple RCS values. It can be understood that the maximum azimuth angle difference of the above continuous azimuth angles is 4°, and the RCS value of the point source corner reflector at each continuous azimuth angle includes the RCS value of the point source corner reflector at each continuous azimuth angle and any associated pitch angle.

[0044] When the deviation between the linear mean of each RCS value (i.e., the linear mean calculated in each traversal) and the required simulated RCS value is not greater than a preset third amplitude (e.g., 3 dB), the RCS azimuth distribution uniformity of the point source corner reflector array is evaluated as passed. It can be understood that if the RCS mean values ​​of continuous azimuth angles of a certain span are all less than 3 dB within the azimuth simulation angle range, it means that the fluctuation of RCS in azimuth is small, and the simulated azimuth distribution is relatively uniform.

[0045] Regarding the uniformity of the RCS distribution in the pitch direction, for the smoothed RCS value of each continuous pitch angle within the preset pitch angle span (e.g., 4°) of the point source corner reflector array, the linear mean of the RCS value is obtained; the pitch simulation angle range is traversed using the azimuth span to obtain the linear mean of multiple RCS values. It can be understood that the maximum azimuth angle difference of the above continuous pitch angles is 4°, and the RCS value of the point source corner reflector at each continuous pitch angle includes the RCS value of the point source corner reflector at each continuous pitch angle and any associated azimuth angle.

[0046] When the deviation between the linear mean of each RCS value and the required simulated RCS value is not greater than a preset fourth amplitude (e.g., 3 dB), the RCS pitch distribution uniformity of the point source corner reflector array is evaluated as passed. It can be understood that if the RCS mean values ​​of continuous pitch angles of a certain span are all less than 3 dB within the pitch simulation angle range, it means that the RCS fluctuation in the pitch direction is small, and the simulated pitch distribution is relatively uniform.

[0047] Figure 2 1 is a first schematic diagram of a point source corner reflector array according to an embodiment of the present invention, showing a situation where the corner reflectors are mounted on a bracket. Figure 3 is a second schematic diagram of a point source corner reflector array according to an embodiment of the present invention, and θ are the azimuth and elevation angles, respectively.

[0048] Figure 4 Schematic diagram of the basic concept of the RCS simulation evaluation method of the point source corner reflector array according to an embodiment of the present invention, showing the main concept of the aforementioned steps, wherein the RCS smoothed data is the aforementioned smoothed RCS value.

[0049] A specific embodiment of the present invention is described below.

[0050] The first step is to perform electromagnetic simulation calculations on the point source corner reflector array to obtain its RCS value.

[0051] The RCS value required for simulation is set to σ (unit: dBm 2 ). At the required frequency f, the RCS simulation calculation is performed on the point source corner reflector, and the azimuth simulation angle range is The simulation angle range of the elevation direction is (θ1~θ2). The simulation angle steps of the azimuth and elevation directions are s1 and s2 respectively (the values ​​of s1 and s2 are usually 0.2°). The RCS values ​​of the point source corner reflector at various angles are obtained (unit: dBm 2 ).

[0052] The second step is to perform RCS smoothing on the acquired RCS simulation data.

[0053] The RCS and other characteristics of radar targets are sensitive to changes in the target attitude angle. In engineering, the sliding window smoothing method is often used to suppress random noise and rapid fluctuations in the data, which is convenient for analyzing the RCS simulation level of the point source corner reflector array. Set the smoothing angles in azimuth and elevation to α and β respectively (α and β are usually 2°), then the point source corner reflector array in azimuth The RCS value after smoothing the sliding window at the elevation angle θ0 is the value of the point source corner reflector array in the azimuth direction. The linear mean of all RCS values ​​in the range of [θ0-β,θ0+β] in the pitch direction. Using the above method, the linear mean of all RCS values ​​in the range of [θ0-β,θ0+β] in the pitch direction can be obtained. The smoothed RCS value at each angle in the pitch direction (θ1~θ2) is used as the input of the third and fourth step evaluation methods.

[0054] The third step is to evaluate the RCS simulation accuracy of the point source corner reflector array based on the obtained RCS simulation data (i.e., the smoothed RCS value).

[0055] The RCS simulation accuracy evaluation is carried out in the following three steps.

[0056] (1) Assume that the RCS probability density function of the point source corner reflector array is f R (x) is a function used to characterize the possibility of RCS values ​​after smoothing at various angles.

[0057] (2) Evaluate the overall RCS accuracy. Statistics The size of the value, It is used to characterize the ratio of the RCS value of the point source corner reflector array to the RCS value required to be simulated within 3dB. Represents the azimuth angle of the point source corner reflector array All RCS values ​​within the range of pitch angle (θ1~θ2) fall within the range of [σ-3dB,σ+3dB]. General requirements The value of is not less than 0.8.

[0058] (3) Evaluate the accuracy of the central RCS. Statistics The size of the value, It is used to characterize the ratio of the RCS value of the point source corner reflector array to the RCS value required to be simulated within 1.5dB. The value of is not less than 0.5.

[0059] The fourth step is to evaluate the RCS distribution uniformity of the point source corner reflector array based on the obtained RCS simulation data (i.e., the smoothed RCS value).

[0060] The RCS simulation accuracy evaluation is carried out in the following two steps.

[0061] (1) Evaluate the uniformity of RCS azimuth distribution. Statistically calculate the linear mean of RCS within any continuous m° (m is usually 4) in the azimuth direction of the point source corner reflector array. Is it satisfied? If satisfied, the azimuthal distribution uniformity is passed.

[0062] (2) Evaluate the uniformity of the RCS distribution in the pitch direction. Statistically calculate the linear mean of the RCS in any continuous n° (n is usually 4) in the pitch direction of the point source corner reflector array. Is it satisfied? If satisfied, the pitch distribution uniformity passes.

[0063] At this point, the RCS simulation evaluation of the point source corner reflector array is completed.

[0064] To sum up, in the technical scheme of the embodiment of the present invention, a method and device for RCS simulation evaluation of a point source corner reflector array are studied. The RCS simulation level of the point source corner reflector array is evaluated by combining RCS simulation accuracy analysis and RCS distribution uniformity analysis, which overcomes the defects of the traditional RCS simulation evaluation method of the point source corner reflector array, provides a basis and reference for the RCS simulation design of the point source corner reflector array, and has important engineering application value.

[0065] It should be noted that, for the convenience of description, the aforementioned method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the present invention is not limited by the described action sequence, and some steps can actually be performed in other sequences or simultaneously. In addition, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily necessary to implement the present invention.

[0066] In order to better implement the above-mentioned solution of the embodiment of the present invention, relevant devices for implementing the above-mentioned solution are also provided below.

[0067] See also Figure 5 As shown, the point source corner reflector array RCS simulation evaluation device 500 provided in an embodiment of the present invention may include: a simulation unit 501, a data processing unit 502 and an evaluation unit 503.

[0068] Among them, the simulation unit 501 can be used to: perform electromagnetic simulation calculations on the point source corner reflector array to be evaluated, and obtain the radar scattering cross section RCS value of the point source corner reflector array; the data processing unit 502 can be used to: smooth the obtained RCS value of the point source corner reflector array to obtain the smoothed RCS value; the evaluation unit 503 can be used to: evaluate the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value; wherein the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS elevation distribution uniformity.

[0069] In an embodiment of the present invention, the data processing unit 502 can be further used to: for any target azimuth angle in the preset azimuth simulation angle range, determine the azimuth angle range whose angle difference with the target azimuth angle is not greater than the preset azimuth smoothing angle as the azimuth smoothing range; for any target pitch angle in the preset pitch simulation angle range, determine the pitch angle range whose angle difference with the target pitch angle is not greater than the preset pitch smoothing angle as the pitch smoothing range; determine the linear mean of the RCS values ​​of the point source corner reflector array in the azimuth smoothing range and the pitch smoothing range as the smoothed RCS value of the point source corner reflector array at the target azimuth angle and the target pitch angle.

[0070] As a preferred scheme, the evaluation unit 503 can be further used to: for the smoothed RCS values ​​of the point source corner reflector array at any azimuth angle and any elevation angle, obtain the proportion of RCS values ​​in the smoothed RCS values ​​whose deviation from the RCS values ​​required to be simulated is within a preset first amplitude; when the proportion is not less than a preset first threshold, the overall RCS accuracy of the point source corner reflector array is evaluated as passed.

[0071] Preferably, the evaluation unit 503 can be further used to: for the smoothed RCS values ​​of the point source corner reflector array at any azimuth angle and any elevation angle, obtain the proportion of RCS values ​​in the smoothed RCS values ​​whose deviation from the RCS values ​​required to be simulated is within a preset second amplitude; wherein the second amplitude is smaller than the first amplitude; when the proportion is not less than a preset second threshold value, the center RCS accuracy of the point source corner reflector array is evaluated as passed.

[0072] In a specific application, the evaluation unit 503 can be further used to: obtain the linear mean of the smoothed RCS value of each continuous azimuth angle of the point source corner reflector array within a preset azimuth angle span; use the azimuth angle span to traverse the azimuth simulation angle range to obtain a plurality of linear means of the RCS values; and evaluate the RCS azimuth distribution uniformity of the point source corner reflector array as passed when the deviation between the linear mean of each RCS value and the required simulated RCS value is no more than a preset third amplitude.

[0073] In practical applications, the evaluation unit 503 can be further used to: obtain the linear mean of the smoothed RCS value of each continuous pitch angle of the point source corner reflector array within a preset pitch angle span; use the azimuth angle span to traverse the pitch simulation angle range to obtain multiple linear means of the RCS values; when the deviation between the linear mean of each RCS value and the required simulated RCS value is no more than a preset fourth amplitude, evaluate the RCS pitch distribution uniformity of the point source corner reflector array as passed.

[0074] In addition, in the embodiment of the present invention, the azimuth smoothing angle and the elevation smoothing angle are both 2°, the simulation angle step sizes in azimuth and elevation are both 0.2°, the first amplitude, the third amplitude and the fourth amplitude are 3dB, and the second amplitude is 1.5dB.

[0075] According to the technical solution of the embodiment of the present invention, the RCS simulation level of the point source corner reflector array can be evaluated more comprehensively and accurately, including the evaluation of the RCS simulation accuracy and the evaluation of the RCS distribution uniformity, providing a design basis and guidance for the point source corner reflector array.

[0076] The present invention also provides an electronic device. The electronic device of an embodiment of the present invention includes: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the point source corner reflector array RCS simulation evaluation method provided by the present invention.

[0077] Reference below Figure 6 , which shows a schematic diagram of the structure of a computer system 600 of an electronic device suitable for implementing an embodiment of the present invention. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0078] like Figure 6 As shown, the computer system 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 into a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the computer system 600 are also stored. The CPU 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0079] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed so that a computer program read therefrom is installed into the storage section 608 as needed.

[0080] In particular, according to the embodiments disclosed in the present invention, the process described in the main step diagram above can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the main step diagram. In the above embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the central processing unit 601, the above functions defined in the system of the present invention are executed.

[0081] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0082] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0083] The units involved in the embodiments of the present invention may be implemented by software or hardware. The units described may also be arranged in a processor, for example, it may be described as: a processor includes a simulation unit, a data processing unit and an evaluation unit. The names of these units do not constitute a limitation on the units themselves in some cases, for example, the simulation unit may also be described as a "unit that provides an RCS value to a data processing unit".

[0084] As another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiment; or it may exist independently and not be assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by the device, the steps executed by the device include: performing electromagnetic simulation calculation on the point source corner reflector array to be evaluated, and obtaining the radar cross-section RCS value of the point source corner reflector array; smoothing the obtained RCS value of the point source corner reflector array to obtain the smoothed RCS value; evaluating the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value; wherein the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS elevation distribution uniformity.

[0085] According to the technical solution of the embodiment of the present invention, the RCS simulation level of the point source corner reflector array can be evaluated more comprehensively and accurately, including the evaluation of the RCS simulation accuracy and the evaluation of the RCS distribution uniformity, providing a design basis and guidance for the point source corner reflector array.

[0086] 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 point source corner reflector array RCS simulation evaluation method, characterized in that: include: Perform electromagnetic simulation calculation on the point source corner reflector array to be evaluated to obtain the radar cross section (RCS) value of the point source corner reflector array; Smoothing the acquired RCS value of the point source corner reflector array to obtain a smoothed RCS value; The RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array are evaluated according to the smoothed RCS value; wherein the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS elevation distribution uniformity; The RCS simulation accuracy of the point source corner reflector array is evaluated according to the smoothed RCS value, including: For the smoothed RCS values ​​of the point source corner reflector array at any azimuth angle and any elevation angle, obtain the proportion of RCS values ​​in the smoothed RCS values ​​whose deviation from the RCS values ​​required to be simulated is within a preset first amplitude; When the proportion is not less than a preset first threshold, the overall RCS accuracy of the point source corner reflector array is evaluated as passed; The RCS simulation accuracy of the point source corner reflector array is evaluated according to the smoothed RCS value, including: For the smoothed RCS values ​​of the point source corner reflector array at any azimuth angle and any elevation angle, obtaining the proportion of RCS values ​​in the smoothed RCS values ​​whose deviation from the RCS values ​​required to be simulated is within a preset second amplitude; wherein the second amplitude is smaller than the first amplitude; When the proportion is not less than a preset second threshold, the central RCS accuracy of the point source corner reflector array is evaluated as passed; Evaluating the RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value, including: For each smoothed RCS value of the point source corner reflector array at a preset azimuth angle span, obtain a linear mean of the RCS value; use the azimuth angle span to traverse the azimuth simulation angle range to obtain a plurality of linear means of the RCS values; When the deviation between the linear mean of each RCS value and the RCS value required to be simulated is not greater than a preset third amplitude, the RCS azimuth distribution uniformity of the point source corner reflector array is evaluated as passed; Evaluating the RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value, including: For each smoothed RCS value of the point source corner reflector array at a preset pitch angle span, obtain a linear mean of the RCS value; traverse the pitch simulation angle range using the azimuth angle span to obtain a plurality of linear means of the RCS values; When the deviation between the linear mean of each RCS value and the RCS value required to be simulated is not greater than a preset fourth amplitude, the RCS elevation distribution uniformity of the point source corner reflector array is evaluated as passed.

2. The method according to claim 1, characterized in that The step of smoothing the acquired RCS value of the point source corner reflector array to obtain a smoothed RCS value includes: For any target azimuth in the preset azimuth simulation angle range, an azimuth angle range whose angle difference with the target azimuth is not greater than a preset azimuth smoothing angle is determined as an azimuth smoothing range; For any target pitch angle in the preset pitch simulation angle range, a pitch angle range whose angle difference with the target pitch angle is not greater than a preset pitch smoothing angle is determined as a pitch smoothing range; The linear average of the RCS values ​​of the point source corner reflector array in the azimuth smoothing range and the elevation smoothing range is determined as the smoothed RCS value of the point source corner reflector array at the target azimuth angle and the target elevation angle.

3. The method according to claim 1, characterized in that: The azimuth smoothing angle and the elevation smoothing angle are both 2°, the simulation angle step sizes in the azimuth and elevation directions are both 0.2°, the first amplitude, the third amplitude and the fourth amplitude are 3 dB, and the second amplitude is 1.5 dB.

4. A point source corner reflector array RCS simulation evaluation device, characterized in that: include: The simulation unit is used to: perform electromagnetic simulation calculation on the point source corner reflector array to be evaluated, and obtain the radar cross section (RCS) value of the point source corner reflector array; A data processing unit is used to: smooth the acquired RCS value of the point source corner reflector array to obtain a smoothed RCS value; An evaluation unit, used to: evaluate the RCS simulation accuracy and RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value; wherein the RCS simulation accuracy includes the overall RCS accuracy and the center RCS accuracy, and the RCS distribution uniformity includes the RCS azimuth distribution uniformity and the RCS elevation distribution uniformity; The RCS simulation accuracy of the point source corner reflector array is evaluated according to the smoothed RCS value, including: For the smoothed RCS values ​​of the point source corner reflector array at any azimuth angle and any elevation angle, obtain the proportion of RCS values ​​in the smoothed RCS values ​​whose deviation from the RCS values ​​required to be simulated is within a preset first amplitude; When the proportion is not less than a preset first threshold, the overall RCS accuracy of the point source corner reflector array is evaluated as passed; The RCS simulation accuracy of the point source corner reflector array is evaluated according to the smoothed RCS value, including: For the smoothed RCS values ​​of the point source corner reflector array at any azimuth angle and any elevation angle, obtaining the proportion of RCS values ​​in the smoothed RCS values ​​whose deviation from the RCS values ​​required to be simulated is within a preset second amplitude; wherein the second amplitude is smaller than the first amplitude; When the proportion is not less than a preset second threshold, the central RCS accuracy of the point source corner reflector array is evaluated as passed; Evaluating the RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value, including: For each smoothed RCS value of the point source corner reflector array at a preset azimuth angle span, obtain a linear mean of the RCS value; use the azimuth angle span to traverse the azimuth simulation angle range to obtain a plurality of linear means of the RCS values; When the deviation between the linear mean of each RCS value and the RCS value required to be simulated is not greater than a preset third amplitude, the RCS azimuth distribution uniformity of the point source corner reflector array is evaluated as passed; Evaluating the RCS distribution uniformity of the point source corner reflector array according to the smoothed RCS value, including: For each smoothed RCS value of the point source corner reflector array at a preset pitch angle span, obtain a linear mean of the RCS value; traverse the pitch simulation angle range using the azimuth angle span to obtain a plurality of linear means of the RCS values; When the deviation between the linear mean of each RCS value and the RCS value required to be simulated is not greater than a preset fourth amplitude, the RCS elevation distribution uniformity of the point source corner reflector array is evaluated as passed.

5. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

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