An adaptive parameter design method for radar digital prototype simulation platform

Abstract

The application discloses a kind of self-adapting parameter design methods of radar digitization prototype simulation platform, comprising: obtaining the demand of radar system, the demand of radar system includes the parameter of multiple performance indexes;The demand of radar system is decomposed into index, and first parameter set is obtained, and the first parameter set includes the first parameter required by each module in radar digitization prototype simulation platform;The angle information and distance information of preset target are obtained, and the coordinate information of preset target is calculated;After angle information is used as current beam pointing, preset target is set based on coordinate information and detected using radar system under first parameter set, and operation result is obtained;If operation result meets the demand of radar system, then save first parameter set.The application can be decomposed into index according to the demand of radar system, and when not meeting the demand of system, first parameter is adjusted according to preset weight adaptively, so that parameter set meeting the demand of system is found in a short time.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of computer, and particularly relates to a self-adaptive parameter design method of a radar digital prototype simulation platform. BACKGROUND

[0002] With the rapid development of radar systems, various radars are successively updated and iterated, in order to simulate the performance feedback of radar systems under different conditions, which also puts forward higher requirements for radar simulation platforms. Based on this actual demand, various radar digital prototype simulation platforms have appeared at present. The radar digital prototype requires that all modules have reusability and independence, can simulate as many radar systems as possible, and can reduce design errors, optimize design schemes, and improve the one-time success rate of radar system design through simulation. This efficient and short-cycle development mode also enables radar technology to better adapt to the more complex and diversified radar system simulation requirements in the development process. Therefore, the models used in the radar digital prototype all adopt a modular design method, meeting the requirements of high aggregation and low coupling. In order to make the working efficiency of the radar digital prototype higher, the flexibility and adaptability better, in addition to constantly optimizing each module of the radar system, a method for pre-calculating the parameters of each module of the radar under different requirements should be found.

[0003] There is a self-adaptive wave position parameter optimization method of a synthetic aperture radar satellite in the prior art. The method first obtains the altitude and subsatellite point range of the satellite orbit, then determines the selection range of the wave position parameter, designs the wave position parameter set, and finally screens the wave position parameter through a zebra chart to obtain the design and optimization of the wave position parameter. However, the operation amount of this method is very large, and it cannot intuitively reflect whether the currently screened parameter set meets the system requirements, which cannot meet the requirements of flexibility and efficiency of the radar digital prototype simulation platform. SUMMARY

[0004] In order to solve the above problems existing in the prior art, the present application provides a self-adaptive parameter design method of a radar digital prototype simulation platform. The technical problem to be solved by the present application is realized by the following technical scheme:

[0005] The present application provides a self-adaptive parameter design method of a radar digital prototype simulation platform, characterized in that it is applied to a radar digital prototype simulation platform, and the self-adaptive parameter design method comprises:

[0006] obtaining the requirements of a radar system, wherein the requirements of the radar system include parameters of multiple performance indicators;

[0007] index decomposition is performed on the requirements of the radar system to obtain a first parameter set, wherein the first parameter set includes first parameters required by each module in the radar digital prototype simulation platform.

[0008] Obtain the angle and distance information of the preset target, and calculate the coordinate information of the preset target;

[0009] After using the angle information as the current beam direction, the preset target is set based on the coordinate information and the radar system is used to detect it under the first parameter set to obtain the running results.

[0010] If the results of the operation meet the requirements of the radar system, then the first parameter set is saved.

[0011] In one embodiment of the present invention, the various performance indicators include: distance resolution, velocity resolution, signal type, maximum unambiguous distance, antenna 3dB beamwidth, detection probability, and pulse accumulation number.

[0012] In one embodiment of the present invention, when the performance index is range resolution, the first parameter is radar signal bandwidth;

[0013] The requirements for the radar system are decomposed according to the following formula:

[0014]

[0015] In the formula, c represents the speed of light in a vacuum, and δ r B represents the range resolution, and B represents the radar signal bandwidth.

[0016] In one embodiment of the present invention, when the performance index is the antenna 3dB beamwidth, the first parameter is the number of linear array elements;

[0017] The requirements for the radar system are decomposed according to the following formula:

[0018]

[0019] In the formula, k represents the beamwidth factor of the radar system, λ represents the radar signal wavelength, and θ BW θ represents the 3dB beamwidth of the radar system's antenna. B d represents the current beam pointing of the antenna in the radar system, and d represents the spacing between the antenna elements in the radar system.

[0020] In one embodiment of the present invention, the coordinate information of the preset target is calculated according to the following formula:

[0021] x1 = x0 + R·cos(ele)·cos(azi)

[0022] y1 = y0 + R·cos(ele)·sin(azi)

[0023] z1 = z0 + R·sin(ele)

[0024] Where (x0,y0,z0) represents the coordinate information of the radar carrier, R represents the straight-line distance between the preset target and the radar carrier, azi represents the azimuth angle of the preset target relative to the radar carrier, ele represents the elevation angle of the preset target relative to the radar carrier, and (x1,y1,z1) is the coordinate information of the preset target.

[0025] In one embodiment of the present invention, the angle information of the preset target includes the azimuth and pitch angle of the preset target;

[0026] After using the angle information as the current beam pointing, the step of obtaining the first parameters of the radar system based on the coordinate information and the first parameters includes:

[0027] The azimuth angle of the preset target is used as the azimuth direction of the current beam, and the elevation angle of the preset target is used as the elevation direction of the current beam.

[0028] The first parameters of the radar system are obtained based on the coordinate information and the first parameters.

[0029] In one embodiment of the present invention, if the running result meets the requirements of the radar system, the method further includes the following step before saving the first parameter set:

[0030] Determine whether the operation results meet the requirements of the radar system;

[0031] After determining whether the operating results meet the requirements of the radar system, the method further includes:

[0032] If the operation results do not meet the requirements of the radar system, the first parameter in the first parameter set is adjusted according to the preset weight;

[0033] The smaller the influence of the first parameter of the decomposed index on the other decomposed indices, the greater the preset weight of the first parameter.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0035] This invention provides an adaptive parameter design method for a radar digital prototype simulation platform. It can perform index decomposition calculations according to the requirements of the radar system, and adaptively adjust the first parameter according to preset weights when the running results do not meet the system requirements. It can not only find the parameter set that meets the system requirements in a short time, but also solve the problems of large computational load, low efficiency and unknown decomposition effect of existing index decomposition methods.

[0036] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0037] Figure 1 This is a flowchart of an adaptive parameter design method for a radar digital prototype simulation platform provided in an embodiment of the present invention. Detailed Implementation

[0038] The present invention will be further described in detail below with reference to specific embodiments, but the implementation of the present invention is not limited thereto.

[0039] Figure 1 This is a flowchart of an adaptive parameter design method for a radar digital prototype simulation platform provided in an embodiment of the present invention. Figure 1 As shown, this embodiment of the invention provides an adaptive parameter design method for a radar digital prototype simulation platform, applied to a radar digital prototype simulation platform. The adaptive parameter design method includes:

[0040] S1. Obtain the requirements of the radar system, which include parameters of various performance indicators;

[0041] S2. Decompose the requirements of the radar system into indicators to obtain the first parameter set, which includes the first parameters required by each module in the radar digital prototype simulation platform.

[0042] S3. Obtain the angle and distance information of the preset target, and calculate the coordinate information of the preset target;

[0043] S4. After using the angle information as the current beam direction, set the preset target based on the coordinate information and use the radar system to detect it under the first parameter set to obtain the operation results.

[0044] S5. If the results of the operation meet the requirements of the radar system, then save the first parameter set.

[0045] In this embodiment, various performance indicators may include: range resolution, velocity resolution, signal type, maximum unambiguous distance, antenna 3dB beamwidth, detection probability, and pulse accumulation number, as exemplarily shown in Table 1:

[0046] Table 1

[0047]

[0048]

[0049] Of course, in other embodiments of this application, performance indicators can be flexibly set as needed, and this application does not limit them.

[0050] The results of some indicator decompositions are shown in Table 2:

[0051] Table 2

[0052] Signal bandwidth (Hz) 300000 Signal pulse width (s) 0.0001 Pulse repetition period (s) 0.0015 Sampling rate (Hz) 750000 Antenna scan speed (r / min) 27.739 Number of antenna elements 50 Antenna element spacing (m) 0.05 Signal wavelength (m) 0.1 Minimum detectable signal ratio -28.184 Target separation distance (m) 1000 Constant false alarm detection window length 8 Constant false alarm detection guard element length 4 Ranging accuracy re-computation result Satisfies Ambiguity or not No

[0053] For example, taking the range resolution shown in Table 1 as an example, in the above step S2, when the performance index is range resolution, the first parameter is the radar signal bandwidth;

[0054] The requirements for the radar system are decomposed according to the following formula:

[0055]

[0056] In the formula, c represents the speed of light in a vacuum, and δ r B represents the range resolution, and B represents the radar signal bandwidth.

[0057] Furthermore, when the performance index is the antenna's 3dB beamwidth, the first parameter is the number of linear array elements;

[0058] The requirements for the radar system are decomposed according to the following formula:

[0059]

[0060] In the formula, k represents the beamwidth factor of the radar system, λ represents the radar signal wavelength, and θ BW θ represents the 3dB beamwidth of the radar system's antenna. B d represents the current beam pointing of the radar system, and d represents the spacing between the antenna elements of the radar system.

[0061] It should be noted that, in addition to the above-mentioned method of index decomposition, parameters can also be calculated based on practical experience. Specifically, taking the selection of the length of the constant false alarm rate (CFAR) detection protection unit and the reference unit length as an example, since the main lobe width of the pulse-compressed signal waveform is approximately... The radar system sampling rate is f s Then, the number of main lobe points of the radar signal after pulse compression is In order to detect targets more accurately, we have:

[0062]

[0063] winlen = 2·prolen

[0064] Where prolen and winlen represent the length of the protection unit and the length of the reference unit for constant false alarm detection, respectively.

[0065] Furthermore, in step S3 above, the coordinate information of the preset target is calculated according to the following formula:

[0066] x1 = x0 + R·cos(ele)·cos(azi)

[0067] y1 = y0 + R·cos(ele)·sin(azi)

[0068] z1 = z0 + R·sin(ele)

[0069] Where (x0,y0,z0) represents the coordinate information of the radar carrier, R represents the straight-line distance between the preset target and the radar carrier, azi represents the azimuth angle of the preset target relative to the radar carrier, ele represents the elevation angle of the preset target relative to the radar carrier, and (x1,y1,z1) is the coordinate information of the preset target.

[0070] In this embodiment, the angle information of the preset target includes the azimuth and elevation angles of the preset target, and the distance information is the straight-line distance between the preset target and the radar carrier. For example, the azimuth angle of the preset target is 3°, the elevation angle is 1°, and the distance between the preset target and the radar carrier is 200,000m.

[0071] In step S4 above, the steps of using angle information as the current beam pointing, setting a preset target based on coordinate information, and using the radar system to detect the target under the first parameter set to obtain the running results include:

[0072] Use the azimuth angle of the preset target as the azimuth direction of the current beam, and use the elevation angle of the preset target as the elevation direction of the current beam;

[0073] After setting a preset target based on coordinate information, the radar system is used to detect the target under the first parameter set to obtain the operational results.

[0074] It should be understood that, in order to accelerate the operation efficiency of the radar digital prototype simulation platform, resource scheduling and beam positioning are not arranged during index recalculation to ensure that the preset target is always within the current beam positioning range. Therefore, in this embodiment, the angle information of the preset target is used as the current beam pointing information:

[0075] nowbeamazi=azi

[0076] nowbeamele=ele

[0077] Here, nowbeamele and nowbeamele represent the azimuth and elevation directions of the current beam, respectively.

[0078] If the results of the operation meet the requirements of the radar system, the step of saving the first parameter set includes the following:

[0079] Determine whether the operating results meet the requirements of the radar system;

[0080] Following the steps described above for determining whether the operating results meet the requirements of the radar system, the following is also included:

[0081] If the operation results do not meet the requirements of the radar system, the first parameter in the first parameter set is adjusted according to the preset weight;

[0082] The smaller the influence of the first parameter of the decomposed index on the other decomposed indices, the greater the preset weight of the first parameter.

[0083] In this embodiment, after the radar digital prototype simulation platform obtains the results, the results are compared with the requirements of the radar system to determine whether the results meet the requirements of the radar system. For example, when recalculating the range resolution, multiple targets need to be preset, and the detection results are read to determine whether the range resolution requirements are met.

[0084] Specifically, if the results of this operation meet the requirements of the radar system, then no further adjustment or optimization of the first parameter is needed, and the first parameter set can be saved. Conversely, if the results do not meet the requirements of the radar system, the recalculation module adjusts the corresponding first parameters according to preset weights for the unmet performance indicators and performs recalculation again. In this embodiment, for unmet performance indicators, when there are multiple first parameters affecting them, the first parameter with the smallest impact on the other performance indicators has a larger weight, and the first parameter involving multiple performance indicators has a smaller preset weight. This can reduce the impact of parameter adjustment on other performance indicators.

[0085] To avoid getting stuck in an infinite loop due to the inability to find the optimal solution, a maximum number of iterations should be set when performing parameter recalculation and adaptive adjustment. If no parameter that meets certain performance requirements is found after reaching the maximum number of recalculations, the recalculation process for that indicator should be terminated, and the recalculation results should be saved so that the user can be notified in a timely manner.

[0086] Furthermore, after completing the recalculation and the adjustment and optimization of the first parameter, a flag bit is transmitted through the transmission control protocol to indicate that the performance recalculation and parameter adjustment and optimization have been completed. Upon receiving the flag bit information indicating that the recalculation and parameter adjustment and optimization have been completed, the software part of the radar simulation system will actively read and display the updated parameter information, and at the same time display the recalculation results.

[0087] As can be seen from the above embodiments, the beneficial effects of the present invention are as follows:

[0088] This invention provides an adaptive parameter design method for a radar digital prototype simulation platform. It can perform index decomposition calculations according to the requirements of the radar system, and adaptively adjust the first parameter according to preset weights when the running results do not meet the system requirements. It can not only find the parameter set that meets the system requirements in a short time, but also solve the problems of large computational load, low efficiency and unknown decomposition effect of existing index decomposition methods.

[0089] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0090] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. In addition, those skilled in the art can combine and integrate the different embodiments or examples described in this specification.

[0091] Although this application has been described herein in conjunction with various embodiments, other variations of the disclosed embodiments can be understood and implemented by those skilled in the art in carrying out the claimed application by reviewing the accompanying drawings, the disclosure, and the appended claims.

[0092] The above description, in conjunction with specific preferred embodiments, provides a further detailed explanation of the present invention. It should not be construed that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art, various simple deductions or substitutions can be made without departing from the concept of the present invention, and all such modifications and substitutions should be considered within the scope of protection of the present invention.

Claims

1. An adaptive parameter design method for a radar digital prototype simulation platform, characterized in that, The adaptive parameter design method, applied to a radar digital prototype simulation platform, includes: Obtain the requirements for the radar system, which include parameters of various performance indicators; The requirements of the radar system are decomposed into indicators to obtain a first parameter set, which includes the first parameters required by each module in the radar digital prototype simulation platform. Obtain the angle and distance information of the preset target, and calculate the coordinate information of the preset target; After using the angle information as the current beam direction, the preset target is set based on the coordinate information and the radar system is used to detect it under the first parameter set to obtain the running results. If the results of the operation meet the requirements of the radar system, then the first parameter set is saved; The various performance indicators include: range resolution, velocity resolution, signal type, maximum unambiguous distance, antenna 3dB beamwidth, detection probability, and pulse accumulation number; When the performance indicator is range resolution, the first parameter is the radar signal bandwidth; The requirements for the radar system are decomposed according to the following formula: In the formula, This represents the speed of light in a vacuum. Indicates distance resolution. Indicates the radar signal bandwidth; When the performance index is the antenna 3dB beamwidth, the first parameter is the number of linear array elements; The requirements for the radar system are decomposed according to the following formula: In the formula, The beamwidth factor represents the radar system. Indicates the radar signal wavelength. This indicates the 3dB beamwidth of the radar system's antenna. Indicates the current beam pointing of the antenna in the radar system. Indicates the spacing between antenna elements in a radar system; If the operation results meet the requirements of the radar system, then before the step of saving the first parameter set, the following steps are also included: Determine whether the operation results meet the requirements of the radar system; After determining whether the operating results meet the requirements of the radar system, the method further includes: If the operation results do not meet the requirements of the radar system, the first parameter in the first parameter set is adjusted according to the preset weight; The smaller the influence of the first parameter of the decomposed index on the other decomposed indices, the greater the preset weight of the first parameter.

2. The adaptive parameter design method for the radar digital prototype simulation platform according to claim 1, characterized in that, The coordinate information of the preset target is calculated according to the following formula: in, This indicates the coordinate information of the radar carrier aircraft. This indicates the straight-line distance between the preset target and the radar carrier. This indicates the azimuth angle of the preset target relative to the radar carrier aircraft. This indicates the pitch angle of the preset target relative to the radar carrier aircraft. The coordinate information of the preset target.

3. The adaptive parameter design method for the radar digital prototype simulation platform according to claim 1, characterized in that, The angle information of the preset target includes the azimuth and elevation angles of the preset target; The steps of using the angle information as the current beam pointing, setting the preset target based on the coordinate information, and using the radar system to detect it under the first parameter set to obtain the running results include: The azimuth angle of the preset target is used as the azimuth direction of the current beam, and the elevation angle of the preset target is used as the elevation direction of the current beam. After setting the preset target based on the coordinate information, the radar system is used to detect it under the first parameter set to obtain the operating results.

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