A scenario-driven self-alignment and equivalent adversarial training simulation method
Through scene-driven self-alignment and equivalent adversarial training methods, combined with aerospace drone platform and rotary drone control, the problem of insufficient flexibility in radar interference adversarial testing in the existing technology is solved, and a highly realistic radar interference adversarial training environment is achieved.
Patent Information
- Application Number
- CN202510040667.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-08-19
- Estimated Expiration
- 2045-01-10
AI Technical Summary
The existing technology cannot flexibly simulate radar interference confrontation tests in complex usage scenarios, and cannot achieve suppression, deception and combination interference.
The self-alignment and equivalent adversarial training method based on scene drive is adopted to generate test scenarios by obtaining adversarial training task information, and the radar target signal and interference signal are controlled using the aerospace drone platform and rotor drone, and combined with the simulated scene driving equipment for simulation.
It realizes a highly realistic electromagnetic training environment, can simulate electromagnetic target signals in complex motion states, adapt to the needs of changing combat scenarios, and provides highly realistic radar interference confrontation training.
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Figure CN119763406B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of radar countermeasure technology, and in particular to a scenario-driven self-alignment and equivalent countermeasure training simulation method. Background Art
[0002] Radar interference countermeasure performance is an important indicator to measure the radar equipment's ability to resist interference in a complex electromagnetic environment. Radar interference countermeasure testing is conducted on radar equipment to clearly understand its interference countermeasure performance and accurately grasp its performance. Currently, interference countermeasure testing of radar equipment is performed in different modes by changing simulation scenarios. However, since the use scenarios of radar equipment are complex and changeable, it is necessary to conduct countermeasure tests on radar equipment in different use scenarios.
[0003] A Chinese patent, publication number CN 114818778 A, discloses a method, apparatus, device, and storage medium for acquiring active angle deception scenario data. This solution simulates both small-angle interior-field active angle deception and large-angle exterior-field active angle deception signals, enabling simple and convenient acquisition of active angle deception scenario data. This provides realistic deception and jamming scenarios for simulated deception and jamming training. However, this method can only simulate existing deception and jamming scenario data and cannot flexibly implement suppression, deception, or combined jamming. Summary of the Invention
[0004] The purpose of the present invention is to provide a scenario-driven self-alignment and equivalent adversarial training simulation method to solve the following technical problems:
[0005] A Chinese patent, publication number CN 114818778 A, discloses a method, apparatus, device, and storage medium for acquiring active angle deception scenario data. This solution simulates both small-angle interior-field active angle deception and large-angle exterior-field active angle deception signals, enabling simple and convenient acquisition of active angle deception scenario data. This provides realistic deception and jamming scenarios for simulated deception and jamming training. However, this method can only simulate existing deception and jamming scenario data and cannot flexibly implement suppression, deception, or combined jamming.
[0006] The purpose of the present invention can be achieved through the following technical solutions:
[0007] A scenario-driven self-alignment and equivalent adversarial training simulation method includes the following steps:
[0008] S1, obtaining and parsing the adversarial training task to obtain training information, and generating a test scenario based on the training information; wherein the training information includes information about the electronic countermeasure equipment under test and information about the adversarial training equipment; the information about the electronic countermeasure equipment under test includes the model, quantity, and planned movement information of the electronic countermeasure equipment under test; and the adversarial training equipment information includes the model, quantity, and planned movement information of the adversarial training equipment;
[0009] S2, obtaining real-time position information of the electronic countermeasure equipment under test and the countermeasure training equipment in real time, controlling the countermeasure training equipment to generate a radiation radar signal according to the real-time position information, and transmitting the radiation radar signal to the electronic countermeasure equipment under test via wireless communication;
[0010] S3. When the electronic countermeasure equipment under test receives the radiation radar signal, it generates a corresponding interference signal, and transmits the interference signal wirelessly to the countermeasure training equipment. The countermeasure training equipment detects the power of the received interference signal, modulates the received interference signal and superimposes it with the radiation radar signal to obtain test data. Based on the test data, the interference countermeasure performance of the countermeasure training equipment is determined.
[0011] As a further solution of the present invention: it also includes a ground display control terminal and a flying radar countermeasure training target system; the ground display control terminal is used to plan the test scene; the flying radar countermeasure training target system is used to transmit radiated radar signals and receive interference signals.
[0012] As a further solution of the present invention: the flying radar confrontation training target system is composed of a navigation and positioning device, confrontation training equipment and a rotor UAV azimuth and speaker pitch control; the navigation and positioning device is used to perform real-time positioning of the confrontation training equipment, and transmit the positioning information to the ground display control terminal in real time through wireless communication for scene equivalent solution; the confrontation training equipment is used to emit radiation radar signals and receive interference signals; the rotor UAV azimuth and speaker pitch control is used to control the UAV azimuth angle steering and speaker pitch angle.
[0013] As a further embodiment of the present invention, the ground display control terminal further includes target interference simulation and control and signal alignment control; the target interference simulation and control is used to calculate the power amplitude of the radiation signal of the countermeasure training equipment and the target delay distance in real time based on the actual position of the countermeasure training equipment and the actual position of the electronic countermeasure equipment being tested, generate a radiation radar control signal based on the power amplitude of the radiation signal of the countermeasure training equipment and the target delay distance, and transmit the radiation radar control signal to the flying radar countermeasure training target system;
[0014] The signal self-alignment control is used to obtain the azimuth of the rotorcraft UAV, determine the speaker pitch angle according to the azimuth of the rotorcraft UAV and generate a speaker pitch control signal, and transmit the speaker pitch control signal to the flying radar countermeasure training target system.
[0015] As a further solution of the present invention: the speaker pitch angle control range is [-45°, 45°], and the rotor UAV azimuth control range is [0°, 360°].
[0016] As a further solution of the present invention: the radiation radar control signal is used to control the adversarial training device to generate the radiation radar signal; the speaker pitch control signal is used to control the speaker pitch angle.
[0017] Beneficial effects of the present invention:
[0018] In order to achieve high-fidelity simulation of radar target interference signals, the present invention adopts an equivalent scenario-driven method. According to the simulated combat scenario and the motion trajectory of the combat target, combined with the control of the azimuth and pitch motion of the cruise-type UAV platform, the simulation scenario is used to drive the radar countermeasure training payload equipment and the azimuth and speaker pitch control of the rotorcraft UAV, thereby realizing a flexibly constructible complex electronic countermeasure training scenario and simulating the radar target signal and interference signal in the cruise-type radar countermeasure training target. This method is suitable for simulating electromagnetic target signals with complex motion states, and can flexibly simulate radar targets and interference signals according to complex combat scenarios, providing a highly realistic electromagnetic training environment for electronic countermeasure equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The present invention will be further described below with reference to the accompanying drawings.
[0020] Figure 1 This is a flow chart of a scenario-driven self-alignment and equivalent adversarial training simulation method of the present invention;
[0021] Figure 2 This is an architecture diagram of a scenario-driven self-alignment and equivalent adversarial training simulation method of the present invention;
[0022] Figure 3 It is a scene graph corresponding to a scene-driven self-alignment and equivalent adversarial training simulation method provided in an embodiment of the present application. DETAILED DESCRIPTION
[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making any creative efforts shall fall within the scope of protection of the present invention.
[0024] See also Figure 1 As shown, the present invention is a scenario-driven self-alignment and equivalent adversarial training simulation method, comprising the following steps:
[0025] S1, obtaining and parsing the adversarial training task to obtain training information, and generating a test scenario based on the training information; wherein the training information includes information about the electronic countermeasure equipment under test and information about the adversarial training equipment; the information about the electronic countermeasure equipment under test includes the model, quantity, and planned movement information of the electronic countermeasure equipment under test; and the adversarial training equipment information includes the model, quantity, and planned movement information of the adversarial training equipment;
[0026] S2, obtaining real-time position information of the electronic countermeasure equipment under test and the countermeasure training equipment in real time, controlling the countermeasure training equipment to generate a radiation radar signal according to the real-time position information, and transmitting the radiation radar signal to the electronic countermeasure equipment under test via wireless communication;
[0027] S3. When the electronic countermeasure equipment under test receives the radiation radar signal, it generates a corresponding interference signal, and transmits the interference signal wirelessly to the countermeasure training equipment. The countermeasure training equipment detects the power of the received interference signal, modulates the received interference signal and superimposes it with the radiation radar signal to obtain test data. Based on the test data, the interference countermeasure performance of the countermeasure training equipment is determined.
[0028] In order to achieve high-fidelity simulation of radar target interference signals, the present invention adopts an equivalent scenario-driven method. According to the simulated combat scenario and the motion trajectory of the combat target, combined with the control of the azimuth and pitch motion of the cruise-type UAV platform, the simulation scenario is used to drive the radar countermeasure training payload equipment and the azimuth and speaker pitch control of the rotorcraft UAV, thereby realizing a flexibly constructible complex electronic countermeasure training scenario and simulating the radar target signal and interference signal in the cruise-type radar countermeasure training target. This method is suitable for simulating electromagnetic target signals with complex motion states, and can flexibly simulate radar targets and interference signals according to complex combat scenarios, providing a high-fidelity electromagnetic training environment for electronic countermeasure equipment.
[0029] It is understandable that according to the requirements of electronic countermeasure training, the ground display control terminal first initializes the combat scenario, including inputting the number, model and initial position of the equipment under test and the simulated equipment. For a one-to-one combat scenario, it is assumed that the number of electronic countermeasure equipment under test is 1, the number of simulated radar physical equipment is 1, the model of the simulated radar physical equipment is radar X, and the model of the actual electronic countermeasure equipment is electronic countermeasure Y. The motion trajectory S of the simulated radar and the motion trajectory T of the actual electronic countermeasure equipment are planned to form a trajectory set {S 11 ,S 12 ,...,S 1r} and {T 11 ,T 12 ,...,T 1e}The initial position information is as follows: The initial position of the actual electronic countermeasure equipment being tested: {x initial_e ,y initial_e ,z initial_e} and direction information {θ initial_e ,φ initial_e , ψ initial_e}; Simulate the initial position of radar equipment: {x initial_r ,y initial_r , z initial_r} and direction information {θ initial_r ,φ initial_r , ψ initial_r}.
[0030] Obtain the initial information of the actual electronic countermeasure equipment Y and the cruise radar countermeasure target training system. Obtain the position information of the cruise radar target through the system's navigation and positioning equipment {x initial_rr ,y initial_rr , z initial_rr} and transmit it to the ground display control terminal via wireless communication. In addition, the initial position information of the actual electronic countermeasure equipment {x initial_er ,y initial_er , z initial_er} and direction information {θ initial_er ,φ initial_er , ψ initial_er}, perform the initial alignment setting of the system. Calculate the initial alignment angle {θ initial_rr ,φ initial_rr , ψ initial_rr}:
[0031]
[0032] ψ initial_rr =0;
[0033] To ensure that the UAV is accurately aligned with the target of the flight radar countermeasure system, during the initial setting, ensure that the pitch angle θ of the rotor UAV isinitial_UAV =0°, azimuth φ initial_UAV =φ initial_rr According to the calculation results, adjust the pitch angle θ of the pitch servo motor on the drone initial_d , ensuring precise alignment of radar countermeasure systems:
[0034]
[0035] According to the combat requirements, the motion trajectory of the electronic countermeasure equipment and the simulated radar equipment planned in step 1 is used to calculate the position information {x ri_sim (t), y ri_sim (t), z ri_sim (t)} and the actual position information of the electronic countermeasure equipment {x e_sim (t), y e_sim (t), z e_sim (t)}, used to calculate the distance between the simulated radar and the actual electronic countermeasure equipment:
[0036]
[0037] At the same time, using the location information provided by the navigation device {x r_real (t), y r_real (t), z r_real (t)} Real-time calculation of the distance between the actual flying radar countermeasure training target system and the actual electronic countermeasure equipment:
[0038]
[0039] According to the antenna scanning information in the simulation step, adjust the azimuth angle Az(t) and elevation angle El(t) of the simulated radar. Assuming that the radar is a mechanical scanning radar, the changes in its azimuth angle and elevation angle are calculated as follows:
[0040] Az(t+1)=Az(t)+ωaz·t;
[0041] El(t+1)=El(t)+ωel·t;
[0042] Based on the radar scanning information above, calculate the gain of the radar antenna pointing in the direction of the electronic countermeasure equipment. Assuming that the maximum gain of the radar's main lobe is G0, the antenna gain is calculated as follows:
[0043] G(t)=G0·f(Az(t)-Az ri_to_e (t),El(t)-El ri_to_e (t));
[0044] Real-time calculation of simulated radar radiation output power:
[0045]
[0046] Calculate the relative delay of the simulated radar in the simulation scene in real time:
[0047]
[0048] The calculated radiated output power and delay are controlled and transmitted to the radar in real time via ground-based display and control equipment. Upon receiving the radar signal, the electronic countermeasures equipment under test conducts electronic jamming. The jamming signal received by the cruise radar countermeasures training payload is superimposed on the target signal, and the signal processing system analyzes and evaluates the jamming effect of the electronic countermeasures equipment under test.
[0049] In a preferred case of this embodiment, it also includes a ground display control terminal and a flying radar countermeasure training target system; the ground display control terminal is used to plan the test scenario; the flying radar countermeasure training target system is used to transmit radiated radar signals and receive interference signals.
[0050] In another preferred situation of this embodiment, the flying radar confrontation training target system is composed of a navigation and positioning device, a confrontation training equipment and a rotor UAV azimuth and speaker pitch control; the navigation and positioning device is used to perform real-time positioning of the position of the confrontation training equipment, and transmit the positioning information to the ground display control terminal in real time through wireless communication for scene equivalent solution; the confrontation training equipment is used to emit radiation radar signals and receive interference signals; the rotor UAV azimuth and speaker pitch control is used to control the UAV azimuth angle steering and speaker pitch angle.
[0051] In another preferred embodiment of the present invention, the ground display control terminal further includes target interference simulation and control and signal alignment control; the target interference simulation and control is used to calculate the power amplitude of the radiation signal of the countermeasure training equipment and the target delay distance in real time based on the actual position of the countermeasure training equipment and the actual position of the electronic countermeasure equipment under test, generate a radiation radar control signal based on the power amplitude of the radiation signal of the countermeasure training equipment and the target delay distance, and transmit the radiation radar control signal to the flying radar countermeasure training target system;
[0052] The signal self-alignment control is used to obtain the azimuth of the rotorcraft UAV, determine the speaker pitch angle according to the azimuth of the rotorcraft UAV and generate a speaker pitch control signal, and transmit the speaker pitch control signal to the flying radar countermeasure training target system.
[0053] In another preferred embodiment of the present invention, the speaker pitch angle control range is [-45°, 45°], and the rotor UAV azimuth control range is [0°, 360°].
[0054] In another preferred embodiment of the present invention, the radiation radar control signal is used to control the adversarial training device to generate the radiation radar signal; and the speaker pitch control signal is used to control the speaker pitch angle.
[0055] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. A scenario-driven self-alignment and equivalent adversarial training simulation method, characterized in that: The following steps are involved: S1, obtaining and parsing the adversarial training task to obtain training information, and generating a test scenario based on the training information; wherein the training information includes information about the electronic countermeasure equipment under test and information about the adversarial training equipment; the information about the electronic countermeasure equipment under test includes the model, quantity, and planned movement information of the electronic countermeasure equipment under test; and the adversarial training equipment information includes the model, quantity, and planned movement information of the adversarial training equipment; S2, obtaining real-time position information of the electronic countermeasure equipment under test and the countermeasure training equipment in real time, controlling the countermeasure training equipment to generate a radiation radar signal according to the real-time position information, and wirelessly transmitting the radiation radar signal to the electronic countermeasure equipment under test; S3. When the electronic countermeasure equipment under test receives the radiation radar signal, it generates a corresponding interference signal, and transmits the interference signal wirelessly to the countermeasure training equipment. The countermeasure training equipment detects the power of the received interference signal, modulates the received interference signal and superimposes it with the radiation radar signal to obtain test data. Based on the test data, the interference countermeasure performance of the countermeasure training equipment is determined.
2. The scenario-driven self-alignment and equivalent adversarial training simulation method according to claim 1, characterized in that: It also includes a ground display control terminal and a flying radar countermeasure training target system; the ground display control terminal is used to plan the test scene; the flying radar countermeasure training target system is used to transmit radiated radar signals and receive interference signals.
3. The scenario-driven self-alignment and equivalent adversarial training simulation method according to claim 2 is characterized in that: The flying radar confrontation training target system consists of a navigation and positioning device, confrontation training equipment and a rotor UAV azimuth and speaker pitch control; the navigation and positioning device is used to locate the position of the confrontation training equipment in real time, and transmit the positioning information to the ground display control terminal in real time through wireless communication for scene equivalent solution; the confrontation training equipment is used to emit radiated radar signals and receive interference signals; the rotor UAV azimuth and speaker pitch control is used to control the UAV azimuth angle steering and speaker pitch angle.
4. The scenario-driven self-alignment and equivalent adversarial training simulation method according to claim 2, characterized in that: The ground display control terminal also includes target interference simulation and control and signal alignment control; the target interference simulation and control is used to calculate the radiation signal power amplitude and target delay distance of the confrontation training equipment in real time based on the actual position of the confrontation training equipment and the actual position of the electronic countermeasure equipment under test, generate a radiation radar control signal based on the radiation signal power amplitude and target delay distance of the confrontation training equipment, and transmit the radiation radar control signal to the flying radar confrontation training target system; The signal self-alignment control is used to obtain the azimuth of the rotorcraft UAV, determine the speaker pitch angle according to the azimuth of the rotorcraft UAV and generate a speaker pitch control signal, and transmit the speaker pitch control signal to the flying radar countermeasure training target system.
5. The scenario-driven self-alignment and equivalent adversarial training simulation method according to claim 4 is characterized in that: The speaker pitch angle control range is [-45°, 45°], and the rotor UAV azimuth control range is [0°, 360°].
6. The scenario-driven self-alignment and equivalent adversarial training simulation method according to claim 4, characterized in that: The radiation radar control signal is used to control the adversarial training device to generate a radiation radar signal; the speaker pitch control signal is used to control the speaker pitch angle.
Citation Information
Patent Citations
Active angle deception scene data acquisition method and device, equipment and storage medium
CN114818778A
Radar countermeasure equipment effectiveness evaluation method based on hardware-in-the-loop simulation
CN104503425A
Radar interference countermeasure test method, device, equipment and storage medium
CN115712099A