Virtual-real fusion radar interference practice method and system based on data driving

Abstract

The invention belongs to the technical field of information, and provides a virtual-real fusion radar interference practice method and system based on data driving. Comprising the steps of parameter presetting, parameter input, initial target detection, radar data acquisition, radar data calculation, reconnaissance practice result parameter acquisition, interference signal generation, interference signal acquisition, interference signal calculation, interfered detection parameter information acquisition, anti-interference measure updating and real-time practice evaluation result output. The complete working process of the real radar is simulated through the digital twin radar, and the defect that the real radar occupies too many manpower, material resources and sites is avoided while the radar practice purpose is achieved; and through the practice evaluation module, real-time evaluation of the effects of the radar and the radar matching equipment is realized, and efficient practice can be carried out.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and particularly to a data-driven virtual-real fusion radar jamming training method and system. Background Art

[0002] In traditional radar jamming training, there are usually two modes for radar jamming equipment: real equipment - real equipment and real equipment - virtual training. The real equipment - real equipment training mode means that for real radar jamming equipment, real radars are used to build a radar jamming training target environment. The real equipment - virtual training mode means that for real radar jamming equipment, radar simulators are used to build a radar jamming training target environment. Among them, in the real equipment - real equipment mode during daily training, since real radars need to be mobilized, the organization is difficult and more coordination is required. When airborne radars or spaceborne radars are needed, platforms such as airplanes in the air or satellites in space need to be coordinated, and the coordination is even more difficult. Especially during training, since both the radar jamming equipment and the real radar radiate electromagnetic signals, there is a risk of electromagnetic leakage. At the same time, to achieve the purpose of simulating a real training scenario, the real radar jamming equipment and the real radar need to be placed in a training field area of a large size, which also poses a high requirement for the scale of the training site. In the real equipment - virtual training mode, a radar simulator is used to build a training environment. Due to the certain gap between the performance of the simulator and that of the real radar, the radar simulator has problems such as low fidelity and weak realism. At the same time, to achieve the purpose of simulating a real training scenario, the real radar jamming equipment and the radar simulator also need to be placed in a training field area of a large size. The real equipment - construction training mode, also known as the virtual-real fusion training mode, means using data twin technology to build a radar twin model and setting up an environment identical to the real radar or real target, which can not only narrow the gap between training and actual combat in the use of real radars, but also achieve the training purposes that previously required real equipment or simulator equipment under the condition of being unrestricted by time and space. The real equipment - construction training mode can achieve a highly realistic simulation of radar targets under any training scenario, forming training in real scenarios. Especially, the radar jamming equipment can complete the jamming operation training without radiating interference signals. By collecting data of the real radar jamming equipment and the radar twin model, the training process can be controlled and evaluated, providing data parameters for the combat decision-making of commanders, reducing decision-making errors, and the collected data can be used to replay the simulation and combat process to evaluate the training effect. The real equipment - construction training mode conducts training with real radar jamming equipment, enabling trainees to obtain psychological and physiological adaptability consistent with actual combat, greatly improving the training quality. The radar twin model can be configured simultaneously with real equipment or used separately, and can provide all-time, all-round, and uninterrupted training for users during peacetime, effectively improving the training ability and response ability, which is the latest development trend of training technology.

[0003] However, the existing technology still lacks an interference training method and system for the actual installation-construction training mode. Summary of the Invention

[0004] In order to overcome the deficiencies of the existing technology, the object of the present invention is to provide a data-driven virtual-real fusion radar interference practice method and system. By simulating the complete working process of a real radar through a digital twin radar, while achieving the purpose of radar practice, it avoids the disadvantages of real radars occupying too much manpower, material resources and site; through the practice evaluation module, it realizes the real-time evaluation of the effects of both the radar and the radar training equipment, so as to improve the training efficiency of personnel.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A data-driven virtual-real fusion radar interference practice method, including:

[0007] Preset relevant parameters of radar detection targets, radar platform position parameters, radar working parameters, practice control instructions, and radar training equipment position parameters;

[0008] Input the radar platform position parameters and the radar working parameters into a preset digital twin radar;

[0009] Input the radar detection target related parameters into a preset target simulation module;

[0010] Input the practice control instructions and the radar training equipment position parameters into a preset radar interference equipment;

[0011] Use the digital twin radar to simulate the detection of a tracking target to obtain target detection parameter information;

[0012] Use a preset radar data acquisition device to collect the radio frequency data stream of the digital twin radar, and transmit the radio frequency data stream to the antenna feed port of the radar interference equipment through a data interaction bus;

[0013] Use a preset radar signal flow calculation device to calculate the radio frequency data stream to obtain first calculation data;

[0014] Use a preset radar interference equipment to analyze, sort and identify the first calculation data to obtain radar reconnaissance practice result parameters, and transmit the radar reconnaissance practice result parameters to a preset practice evaluation module;

[0015] Collect the interference instructions of the equipment operator to generate an interference signal data stream;

[0016] Collect the interference signal data stream using a preset radar interference data acquisition device, and transmit the interference signal data stream to the receiving end of the digital twin radar through the data interaction bus;

[0017] Use a preset interference data stream calculation device to calculate the interference signal data stream to obtain second calculation data;

[0018] According to the second calculation data, use the digital twin radar to detect the tracking target under interference to obtain interference detection parameter information, and transmit the interference detection parameter information to the exercise evaluation module;

[0019] Screen anti-interference measures according to a preset countermeasure, update the anti-interference measures to the digital twin radar, and return to the step of "using the digital twin radar to simulate the detection of the tracking target to obtain target detection parameter information";

[0020] Evaluate the training process using the exercise evaluation module according to the radar reconnaissance exercise result parameters and the interference detection parameter information to obtain a real-time exercise evaluation result.

[0021] Preferably, use a preset radar signal stream calculation device to calculate the radio frequency data stream to obtain first calculation data, including:

[0022] Use the antenna pattern model of the digital twin radar to calculate the antenna gain of the radio frequency data stream to obtain a gain signal;

[0023] Calculate the time delay of the gain signal to the radar interference device to obtain a delay signal;

[0024] Use a preset radio wave propagation model to calculate the transmission attenuation of the delay signal to obtain an attenuation signal;

[0025] Use a preset electromagnetic environment signal channel attenuation model to perform multipath fading calculation on the attenuation signal to obtain the first calculation data.

[0026] Preferably, the construction process of the digital twin radar includes:

[0027] Conduct a target object analysis on the constructed radar to obtain the target application direction;

[0028] Construct a radar model according to the target application direction to obtain a radar group; the radar group includes: early warning radar, airborne radar, and navigation radar;

[0029] Decompose the radar group to obtain a physical model, a behavior model, a geometric model, and a rule model;

[0030] Combine the physical model, the behavior model, the geometric model, and the rule model to obtain the digital twin radar.

[0031] Preferably, the radar detection target related parameters include: target position, target speed, and target scattering characteristics; the radar platform position parameters include: platform flight speed, flight altitude, flight direction, flight trajectory, radar platform longitude, radar platform latitude, and radar platform altitude; the radar operating parameters include: radar operating frequency, radar operating bandwidth, radar operating signal pattern, and radar operating mode; the radar training equipment position parameters include: jammer longitude, jammer latitude, and jammer altitude.

[0032] Preferably, the anti-jamming measures include: sidelobe cancellation, sidelobe blanking, frequency agility, and signal pattern change.

[0033] Preferably, the real-time training evaluation results include: real-time radar counter-reconnaissance effectiveness evaluation and real-time jamming effectiveness evaluation.

[0034] Preferably, the physical model includes: antenna assembly, power amplifier assembly, and transmitter assembly; the behavior model includes: target search component, target exploration component, and target tracking component; the geometric model includes: shape component and dimension component; the rule model includes: index component and association component.

[0035] Preferably, a data-driven virtual-real fusion radar jamming training system includes: a digital twin radar, a radar jamming device, a radar data acquisition device, a radar jamming data acquisition device, a radar signal flow calculation device, a jamming data flow calculation device, a training evaluation module, and a data interaction bus;

[0036] The digital twin radar is used to detect and track targets to obtain target detection parameter information;

[0037] The radar data acquisition device is used to collect the radio frequency data stream of the digital twin radar and transmit the radio frequency data stream to the antenna feed port of the radar jamming device through the data interaction bus;

[0038] The radar signal flow calculation device is used to calculate the radio frequency data stream to obtain first calculation data;

[0039] The radar jamming device is used to analyze, sort, and identify the first calculation data to obtain radar reconnaissance training result parameters, transmit the radar reconnaissance training result parameters to a preset training evaluation module, and collect the jamming instructions of the equipment operator to generate a jamming signal data stream;

[0040] The radar interference data acquisition device is used to collect the interference signal data stream and transmit the interference signal data stream to the receiving end of the digital twin radar through the data interaction bus;

[0041] The interference data stream calculation device is used to calculate the interference signal data stream to obtain the second calculation data; the digital twin radar is also used to use the second calculation data to detect the tracking target under interference by the digital twin radar, obtain the interference detection parameter information, and transmit the interference detection parameter information to the exercise evaluation module, and screen and obtain anti-interference measures according to the preset countermeasure strategy, update the detection algorithm of the digital twin radar with the anti-interference measures and continue to detect the tracking target;

[0042] The exercise evaluation module is used to evaluate the training process according to the radar reconnaissance exercise result parameters and the interference detection parameter information to obtain the real-time exercise evaluation result.

[0043] Preferably, it further includes:

[0044] The integrated display and control module is used to control the working parameters of the digital twin radar and synchronize the time of the digital twin radar and the radar interference device.

[0045] The present invention discloses the following technical effects:

[0046] The present invention provides a data-driven virtual-real fusion radar interference exercise method and system, which simulates the complete working process of a real radar through a digital twin radar, solves the problem of excessive site occupation by real radars, and realizes providing a training platform for users all the time and in all directions without interruption; through the exercise evaluation module, the problem of training effect evaluation is solved, and the real-time evaluation of the effects of both sides of the confrontation is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0048] Figure 1 It is a schematic diagram of the data-driven virtual-real fusion radar interference training process provided by the embodiment of the present invention;

[0049] Figure 2 It is a schematic diagram of the digital twin radar construction process provided by the embodiment of the present invention;

[0050] Figure 3Structural schematic diagram of a data-driven virtual-real fusion radar jamming training system provided by an embodiment of the present invention. Detailed implementation manners

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0052] The purpose of the present invention is to provide a data-driven virtual-real fusion radar jamming training method and system, which simulate the complete working process of a real radar through a digital twin radar, realizing the purpose of radar training while avoiding the disadvantages of real radars occupying too much manpower, material resources and space; through a training evaluation module, real-time evaluation of the effects of both the radar and the radar training equipment is realized to improve the training efficiency of personnel.

[0053] To make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific implementation manners.

[0054] Figure 1 Schematic diagram of a data-driven virtual-real fusion radar jamming training process provided by an embodiment of the present invention. As Figure 1 shown, the present invention provides a data-driven virtual-real fusion radar jamming training method, including:

[0055] Step 100: Preset parameters related to radar detection targets, radar platform position parameters, radar working parameters, training control instructions, and radar training equipment position parameters;

[0056] Step 200: Input the radar platform position parameters and the radar working parameters into a preset digital twin radar;

[0057] Step 300: Input the parameters related to the radar detection target into a preset target simulation module;

[0058] Step 400: Input the training control instructions and the radar training equipment position parameters into a preset radar jamming device;

[0059] Step 500: Use the digital twin radar to simulate the detection of a tracking target to obtain target detection parameter information;

[0060] Step 600: Use a preset radar data acquisition device to collect the radio frequency data stream of the digital twin radar, and transmit the radio frequency data stream to the antenna feed port of the radar jamming device through a data interaction bus.

[0061] Step 700: Use a preset radar signal flow calculation device to calculate the radio frequency data stream to obtain first calculation data;

[0062] Step 800: Use a preset radar interference device to analyze, sort, and identify the first calculation data to obtain radar reconnaissance exercise result parameters, and transmit the radar reconnaissance exercise result parameters to a preset exercise evaluation module;

[0063] Step 900: Collect interference instructions from equipment operators to generate an interference signal data stream;

[0064] Step 1000: Use a preset radar interference data acquisition device to collect the interference signal data stream, and transmit the interference signal data stream to the receiving end of the digital twin radar through the data interaction bus;

[0065] Step 1100: Use a preset interference data stream calculation device to calculate the interference signal data stream to obtain second calculation data;

[0066] Step 1200: According to the second calculation data, use the digital twin radar to detect a tracking target under interference to obtain interference detection parameter information, and transmit the interference detection parameter information to the exercise evaluation module;

[0067] Step 1300: Screen anti-interference measures according to a preset coping strategy, update the anti-interference measures to the digital twin radar, and return to the step of "using the digital twin radar to simulate the detection of a tracking target to obtain target detection parameter information";

[0068] Step 1400: Use the exercise evaluation module to evaluate the training process according to the radar reconnaissance exercise result parameters and the interference detection parameter information to obtain a real-time exercise evaluation result.

[0069] Further, using a preset radar signal flow calculation device to calculate the radio frequency data stream to obtain first calculation data includes:

[0070] Use the antenna pattern model of the digital twin radar to calculate the antenna gain of the radio frequency data stream to obtain a gain signal;

[0071] Calculate the time delay of the gain signal to the radar interference device to obtain a delay signal;

[0072] Use a preset radio wave propagation model to calculate the transmission attenuation of the delay signal to obtain an attenuation signal;

[0073] Perform multipath fading calculation on the attenuation signal using a preset electromagnetic environment signal channel attenuation model to obtain the first solution data.

[0074] Reference Figure 2 , the construction process of the digital twin radar includes:

[0075] Conduct target object analysis on the constructed radar to obtain the target application direction;

[0076] Construct a radar model according to the target application direction to obtain a radar group; the radar group includes: early warning radar, airborne radar, and navigation radar;

[0077] Decompose the radar group to obtain a physical model, a behavior model, a geometric model, and a rule model;

[0078] Combine the physical model, the behavior model, the geometric model, and the rule model to obtain the digital twin radar.

[0079] Specifically, the digital twin radar is obtained by combining the physical model, the behavior model, the geometric model, and the rule model. At this time, the constructed digital twin radar is a static radar (without input of working parameters and without command control). The digital twin radar is controlled by an external simulation manager during operation. The simulation manager sends messages to the digital twin radar through the simulation bus, controls the operation of the digital twin radar through the simulation controller, and at the same time transmits the working process messages to the simulation manager through the simulation bus. Thus, the conversion of the digital twin radar from static to dynamic is completed, and at the same time, the closed-loop from model construction to specific application of the digital twin radar is completed.

[0080] Furthermore, the radar detection target related parameters include: target position, target speed, and target scattering characteristics; the radar platform position parameters include: platform flight speed, flight altitude, flight direction, flight trajectory, radar platform longitude, radar platform latitude, and radar platform altitude; the radar working parameters include: radar working frequency, radar working bandwidth, radar working signal pattern, and radar working mode; the radar training equipment position parameters include: jammer longitude, jammer latitude, and jammer altitude.

[0081] Optionally, the anti-jamming measures include: sidelobe cancellation, sidelobe blanking, frequency agility, and signal pattern change.

[0082] Specifically, the real-time exercise evaluation results include: real-time radar counter-reconnaissance effectiveness evaluation and real-time jamming effectiveness evaluation.

[0083] Further, the physical model includes: an antenna component, a power amplifier component, and a transmitter component; the behavior model includes: a target search component, a target exploration component, and a target tracking component; the geometric model includes: a shape component and a size component; the rule model includes: an index component and an association component.

[0084] Reference Figure 3 , a data-driven virtual-real fusion radar jamming training system, includes: a digital twin radar, a radar jamming device, a radar data acquisition device, a radar jamming data acquisition device, a radar signal flow calculation device, a jamming data flow calculation device, an exercise evaluation module, and a data interaction bus;

[0085] The digital twin radar is used to detect and track a target to obtain target detection parameter information;

[0086] The radar data acquisition device is used to collect the radio frequency data stream of the digital twin radar and transmit the radio frequency data stream to the antenna feed port of the radar jamming device through the data interaction bus;

[0087] The radar signal flow calculation device is used to calculate the radio frequency data stream to obtain first calculation data;

[0088] The radar jamming device is used to analyze, sort, and identify the first calculation data to obtain radar reconnaissance exercise result parameters, transmit the radar reconnaissance exercise result parameters to a preset exercise evaluation module, and collect interference instructions from equipment operators to generate an interference signal data stream;

[0089] The radar jamming data acquisition device is used to collect the interference signal data stream and transmit the interference signal data stream to the receiving end of the digital twin radar through the data interaction bus;

[0090] The jamming data flow calculation device is used to calculate the interference signal data stream to obtain second calculation data; the digital twin radar is further used to, according to the second calculation data, use the digital twin radar to detect the tracked target under interference to obtain interference-affected detection parameter information, transmit the interference-affected detection parameter information to the exercise evaluation module, and screen out anti-jamming measures according to a preset countermeasure strategy, update the detection algorithm of the digital twin radar with the anti-jamming measures and continue to detect the tracked target;

[0091] The exercise evaluation module is used to evaluate the training process according to the radar reconnaissance exercise result parameters and the interference-affected detection parameter information to obtain a real-time exercise evaluation result.

[0092] Further, it further includes:

[0093] The integrated display and control module is used to control the operating parameters of the digital twin radar and synchronize the time of the digital twin radar and the radar jamming device.

[0094] Specifically, during training, neither the digital twin radar nor the radar jamming device radiates electromagnetic signals. Instead, the relevant data acquisition devices are used to collect the working state data of each device. Therefore, it has the advantages of being concealed, confidential, and secure. The main functions of each module are as follows:

[0095] 1) The integrated display and control module can complete functions such as training guidance and control, system time synchronization, and training situation display according to the training scenario.

[0096] 2) The digital twin radar is a virtual device in the virtual space. According to the radar parameter requirements in the training scenario, it completes the construction of the digital twin body of the real radar and has the function of simulating the detection of targets by the real radar.

[0097] 3) The radar jamming device is a real radar jamming device in the physical world, including a jamming device operation interface and a jamming device display interface, etc. The jamming device display interface shows the results of the analysis, processing, and recognition of the digital twin radar signals by the radar jamming device. The device operator can perform normal operations of the jamming device on the device operation interface, including jamming parameter setting, jamming pattern selection, jamming release, etc.

[0098] 4) The data acquisition device includes two parts: a radar jamming data acquisition device and a radar data acquisition device. The radar jamming data acquisition device completes the acquisition of the relevant interference signal flow data of the radar jamming device, and the radar data acquisition device completes the acquisition of the digital twin radar signal flow data.

[0099] 5) The signal flow calculation device completes the calculation of the radar jamming signal data flow and the radar signal data flow, and can complete calculations such as signal atmospheric propagation attenuation, channel attenuation, antenna pattern simulation, and time delay during the spatial transmission process from the radar to the radar jamming device, realistically simulating the transmission of radar signals and radar jamming signals in space, and having functions of optimizing the electromagnetic environment signal propagation model and the electromagnetic environment signal channel attenuation model.

[0100] 6) The exercise evaluation module completes the evaluation of the radar jamming training by introducing the reconnaissance data and interference data of the digital twin radar and the radar jamming device.

[0101] 7) The data interaction bus mainly completes the high-speed real-time transmission, time synchronization, and space synchronization of the radar jamming data flow and the radar signal data flow.

[0102] Furthermore, the specific operation process of this embodiment is as follows:

[0103] Training preparation stage:

[0104] 1) According to the training tasks, the integrated display and control system completes the editing of the training scenario, the presetting of relevant parameters for radar detection targets (such as target position, target speed, target scattering characteristics, etc.), the presetting of radar platform position parameters (platform flight speed, flight altitude, flight direction, flight trajectory, longitude, latitude, altitude), and the presetting of working parameters (frequency, bandwidth, signal pattern, working mode, etc.), as well as the presetting of the position parameters (longitude, latitude, altitude) of the radar training equipment.

[0105] 2) The digital twin radar loads the radar parameters preset by the integrated display and control module to complete the radar startup preparation work, and the target simulation module loads the radar detection target parameters preset by the integrated display and control module to complete the target status setting preparation work.

[0106] 3) The radar jamming equipment loads the control instructions of the integrated display and control module to complete the startup preparation work before training.

[0107] Training implementation stage:

[0108] 1) The integrated display and control module issues a training start command, and the target simulation module, digital twin radar, and radar jamming equipment start up according to the preset parameters.

[0109] 2) The digital twin radar completes the simulation of real radar detection targets, normally detects and tracks the targets, outputs target detection parameter information, including target distance, azimuth, speed, etc. information, forms target point traces and track information, and at the same time reports the target detection data results to the exercise evaluation module.

[0110] 3) The radar data acquisition device collects the RF data stream of the digital twin radar and transmits it to the antenna feed port of the radar jamming equipment through the data interaction bus.

[0111] 4) The radar signal flow calculation device completes the calculation of the radar signal data stream.

[0112] Specifically, its specific operation is to complete the signal propagation simulation of the digital twin radar signal reaching the radar jamming equipment according to the real-time spatial positions of the digital twin radar and the jamming equipment, and has the following functions:

[0113] First, according to the digital twin radar antenna pattern model, calculate the antenna gain of the digital twin radar in the direction of the radar jamming equipment.

[0114] Second, calculate the time delay of the digital twin radar signal data stream reaching the radar jamming equipment.

[0115] Third, according to the digital twin radar signal frequency and the digital twin radar signal space propagation conditions, optimize the radio wave propagation models (including ITU-R P.528, ITU-R P.618, ITU-R P.2041, ITU_R_P.526, Longley-Rice, parabolic equation waveguide transmission model, ray tracing model UTD, etc.) to complete the calculation of the transmission attenuation of the digital twin radar signal;

[0116] Fourth, according to the radio signal multipath effect mathematical model and the digital twin radar signal space propagation conditions, optimize the electromagnetic environment signal channel attenuation models (including Rayleigh fading model, Rician fading model, etc.) to calculate the multipath fading of the digital twin radar signal data stream reaching the radar jamming equipment as required;

[0117] Fifth, calculate the antenna gain of the radar jamming equipment in the direction of the digital twin radar according to the radar jamming equipment antenna pattern model. By synthesizing the calculation results of the antenna pattern, radio wave propagation model, channel attenuation model, and time delay, complete the signal propagation equivalent simulation of the digital twin radar signal stream reaching the radar jamming equipment.

[0118] 5) The calculated digital twin radar signal data stream enters the antenna-feed end of the radar jamming equipment, driving the radar jamming equipment to analyze, sort, identify, etc. the radar signals received at the antenna-feed port, complete the radar counter-reconnaissance of the radar jamming equipment, form the radar reconnaissance exercise result parameter data, and report the radar reconnaissance exercise result parameters to the exercise evaluation module.

[0119] 6) The equipment operator completes the loading of interference parameters according to the radar reconnaissance exercise result parameters output by the radar jamming equipment, forming the generation of interference signal data streams under different interference patterns and different interference parameters;

[0120] 7) The radar jamming data acquisition equipment collects the radio frequency data stream of the radar jamming equipment and transmits it to the digital twin radar receiving end through the data interaction bus;

[0121] 8) The interference data stream calculation equipment completes the calculation of the radar jamming signal data stream.

[0122] Specifically, its specific operation is to complete the propagation equivalent simulation of the radar jamming signal from the radar jamming equipment to the digital twin radar according to the real-time spatial positions of the radar jamming equipment and the digital twin radar. The specific functions include:

[0123] First, calculate the antenna gain of the radar jamming equipment in the direction of the digital twin radar according to the radar jamming equipment antenna pattern model;

[0124] Second, calculate the time delay of the radar jamming signal data stream from the radar jamming equipment to the digital twin radar;

[0125] Thirdly, according to the radar interference signal frequency and the radar interference signal spatial propagation conditions, optimize the radio wave propagation models (including ITU-R P.528, ITU-R P.618, ITU-R P.2041, ITU_R_P.526, Longley-Rice, parabolic equation waveguide transmission model, ray tracing model UTD5, etc.), and complete the transmission attenuation calculation of the radar interference signal data stream;

[0126] Fourthly, according to the radio signal multipath effect mathematical model and the radar interference signal spatial propagation conditions, optimize the electromagnetic environment signal channel attenuation models (including Rayleigh fading model, Rician fading model, etc.), and calculate the multipath fading of the radar interference data stream reaching the digital twin radar as required;

[0127] Fifthly, according to the digital twin radar antenna pattern model, calculate the antenna gain of the digital twin radar in the direction of the radar interference device. By comprehensively calculating the results of the antenna pattern, radio wave propagation model, channel attenuation model, and time delay, complete the signal propagation equivalent simulation of the radar interference signal stream reaching the digital twin radar.

[0128] 9) The radar interference signal data stream after resolution drives the digital twin radar to complete target detection under interference, outputs the target detection parameter information under interference, and at the same time reports the target detection data results to the exercise evaluation module.

[0129] 10) After the digital twin radar is interfered, take corresponding anti-interference measures (such as sidelobe cancellation, sidelobe blanking, frequency agility, changing signal patterns, etc.), and repeat steps 3) to 9) of the training implementation stage to form a game training between the digital twin radar and the radar interference device.

[0130] Furthermore, it should be particularly pointed out that during the training process, according to the data streams reported by the digital twin radar and the radar interference device, data-driven radar interference exercise evaluation can be realized, specifically including: First, the radar countermeasure reconnaissance data reported by the radar interference device can drive the exercise evaluation system to complete the real-time radar countermeasure reconnaissance effectiveness evaluation of the radar interference device; Second, the radar detection data before and after the radar interference device implements interference reported by the digital twin radar and the radar interference data reported by the radar interference device can drive the exercise evaluation system to complete the real-time interference effectiveness evaluation of the radar interference device. The process of real-time interference effectiveness evaluation: By comparing the changes in the radar's target detection parameters before and after interference, such as the number of target tracks, target tracking accuracy, target detection probability, etc., obtain the changes in the radar's target detection ability before and after being interfered under different interference parameters, and complete the real-time evaluation of the interference effectiveness.

[0131] Training summary stage:

[0132] Based on the real-time practice evaluation results of the practice evaluation module, the practice evaluation of radar practice throughout the training process can be completed, the interference effectiveness of different interference patterns and different interference parameters on radars with different parameters and different systems can be analyzed, and the radar interference training level can be improved. At the same time, based on the digital twin radar data and radar interference signal data collected during the training process, the replay of the training process of radar practice can be completed.

[0133] Specifically, the digital twin radar includes four dimensions, namely, geometric model, physical model, behavior model, and rule model. Among them:

[0134] 1) The geometric model describes the shape, size, position and other parameters of the real radar in the physical space, and it has a high spatio-temporal consistency with the physical entity;

[0135] 2) The physical model describes the composition of the digital twin radar, which is the same as the physical composition of the real radar in the physical space, including the physical attributes, physical characteristics, and constraint information of the geometric model, etc., and is specifically composed of physical models such as transmitters, receivers, power amplifiers, and antennas;

[0136] 3) The behavior model describes the working process of the digital twin radar or the situation of behavior changes when affected by external environmental changes, including target search behavior, target detection behavior, target tracking behavior, anti-interference behavior, etc.;

[0137] 4) The rule model is established based on data-driven, reflecting the regular rules associated with the historical data of physical entities. This rule is used for the operation and control of the digital twin radar, including rule indicators, rule associations, etc.

[0138] The beneficial effects of the present invention are as follows:

[0139] The present invention simulates the complete working process of the real radar through the digital twin radar, realizes the purpose of radar practice while avoiding the disadvantages of the real radar occupying too much manpower, material resources and site; through the practice evaluation module, the real-time evaluation of the effects of both the radar and the radar training equipment is realized, which helps to carry out efficient practice.

[0140] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method part.

[0141] In this article, specific examples are used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation and application scope. To sum up, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A data-driven virtual-real fusion radar jamming practice method, characterized in that, Including: Preset radar detection target-related parameters, radar platform position parameters, radar operating parameters, exercise control instructions, and radar training equipment position parameters; Input the radar platform position parameters and the radar operating parameters into a preset digital twin radar; Input the radar detection target-related parameters into a preset target simulation module; Input the exercise control instructions and the radar training equipment position parameters into a preset radar jamming device; Use the digital twin radar to simulate the detection of a tracking target to obtain target detection parameter information; Use a preset radar data acquisition device to collect the RF data stream of the digital twin radar, and transmit the RF data stream to the antenna feed port of the radar jamming device through a data interaction bus; Use a preset radar signal flow calculation device to calculate the RF data stream to obtain first calculation data; Use a preset radar jamming device to analyze, sort, and identify the first calculation data to obtain radar reconnaissance exercise result parameters, and transmit the radar reconnaissance exercise result parameters to a preset exercise evaluation module; Collect the interference instructions of the equipment operator to generate an interference signal data stream; Use a preset radar jamming data acquisition device to collect the interference signal data stream, and transmit the interference signal data stream to the receiving end of the digital twin radar through the data interaction bus; Use a preset interference data stream calculation device to calculate the interference signal data stream to obtain second calculation data; According to the second calculation data, use the digital twin radar to detect the tracking target under interference to obtain interference-affected detection parameter information, and transmit the interference-affected detection parameter information to the exercise evaluation module; Screen out anti-jamming measures according to a preset countermeasure strategy, update the anti-jamming measures to the digital twin radar, and return to the step "Use the digital twin radar to simulate the detection of a tracking target to obtain target detection parameter information"; Evaluate the training process using the exercise evaluation module according to the radar reconnaissance exercise result parameters and the interference-affected detection parameter information to obtain a real-time exercise evaluation result.

2. The data-driven virtual-real fusion radar jamming exercise method according to claim 1, wherein Use a preset radar signal flow calculation device to calculate the RF data stream to obtain first calculation data, including: Use the antenna pattern model of the digital twin radar to calculate the antenna gain of the RF data stream to obtain a gain signal; Calculate the time delay of the gain signal to the radar jamming device to obtain a delay signal; Use a preset radio wave propagation model to calculate the transmission attenuation of the delay signal to obtain an attenuation signal; Use a preset electromagnetic environment signal channel attenuation model to calculate the multipath fading of the attenuation signal to obtain the first calculation data.

3. A data-driven virtual-real fusion radar jamming practice method according to claim 1, characterized in that, The construction process of the digital twin radar includes: Conduct a target object analysis on the constructed radar to obtain the target application direction; Construct a radar model according to the target application direction to obtain a radar group; the radar group includes: early warning radar, airborne radar, and navigation radar; Decompose the radar group from the perspectives of radar functions and systems to obtain a physical model, a behavior model, a geometric model, and a rule model; According to the actual radar system, the physical model, the behavior model, the geometric model, and the rule model are combined in a component assembly manner or a building block manner to obtain the digital twin radar.

4. A data-driven virtual-real fusion radar jamming practice method according to claim 1, characterized in that The radar detection target related parameters include: target position, target speed, and target scattering characteristics; the radar platform position parameters include: platform flight speed, flight altitude, flight direction, flight trajectory, radar platform longitude, radar platform latitude, and radar platform altitude; the radar operating parameters include: radar operating frequency, radar operating bandwidth, radar operating signal pattern, and radar operating mode; the radar training equipment position parameters include: jammer longitude, jammer latitude, and jammer altitude.

5. A data-driven virtual-real fusion radar jamming practice method according to claim 1, characterized in that, The anti-jamming measures include: sidelobe cancellation, sidelobe blanking, frequency agility, and signal pattern change.

6. A data-driven virtual-real fusion radar jamming practice method according to claim 1, characterized in that, The real-time training evaluation results include: real-time radar counter-reconnaissance effectiveness evaluation and real-time jamming effectiveness evaluation.

7. A data-driven virtual-real fusion radar jamming practice method according to claim 3, characterized in that The physical model includes: antenna components, power amplifier components, and transmitter components; the behavior model includes: target search components, target exploration components, and target tracking components; the geometric model includes: shape components and size components; the rule model includes: index components and association components.

8. A data-driven virtual-real fusion radar jamming training system, characterized in that, Including: Digital twin radar, radar jamming equipment, radar data acquisition equipment, radar jamming data acquisition equipment, radar signal flow calculation equipment, jamming data flow calculation equipment, training evaluation module, and data interaction bus; Digital twin radar, used to detect and track targets to obtain target detection parameter information; Radar data acquisition equipment, used to collect the RF data stream of the digital twin radar and transmit the RF data stream to the antenna feed port of the radar jamming equipment through the data interaction bus; Radar signal flow calculation equipment, used to calculate the RF data stream to obtain the first calculation data; Radar jamming equipment, used to analyze, sort, and identify the first calculation data to obtain radar reconnaissance training result parameters, transmit the radar reconnaissance training result parameters to a preset training evaluation module, and collect the jamming instructions of the equipment operator to generate a jamming signal data stream; Radar jamming data acquisition equipment is used to collect the jamming signal data stream and transmit the jamming signal data stream to the receiving end of the digital twin radar through the data interaction bus; Jamming data flow calculation equipment, used to calculate the jamming signal data stream to obtain the second calculation data; the digital twin radar is also used to, according to the second calculation data, use the digital twin radar to detect the tracked target under jamming to obtain the jammed detection parameter information, transmit the jammed detection parameter information to the training evaluation module, and select anti-jamming measures according to a preset coping strategy, update the detection algorithm of the digital twin radar with the anti-jamming measures and continue to detect the tracked target; Training evaluation module, used to evaluate the training process according to the radar reconnaissance training result parameters and the jammed detection parameter information to obtain real-time training evaluation results.

9. A data-driven virtual-real fusion radar jamming training system according to claim 8, characterized in that, Also including: The comprehensive display and control module is used to control the operating parameters of the digital twin radar and synchronize the time of the digital twin radar and the radar jamming device.

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