Self-alignment and equivalent adversarial training simulation method based on scene driving

Abstract

The invention discloses a self-alignment and equivalent confrontation training simulation method based on scene driving, and belongs to the technical field of radar confrontation, and the method specifically comprises the steps: obtaining and analyzing a confrontation training task, obtaining training information, and generating a test scene according to training; real-time position information of the tested electronic countermeasure equipment and the countermeasure training equipment is acquired in real time, the countermeasure training equipment is controlled to generate a radiation radar signal according to the real-time position information, and the radiation radar signal is wirelessly transmitted to the tested electronic countermeasure equipment; after a radiation radar signal is received, an interference signal is generated, power detection is performed on the interference signal, the received interference signal is modulated and superposed with the radiation radar signal to obtain test data, and the interference confrontation performance of confrontation training equipment is determined based on the test data. According to the invention, radar targets and interference signals can be flexibly simulated according to complex combat scenes, and a highly vivid electromagnetic training environment is provided for electronic countermeasure equipment.

Description

Technical Field

[0001] The present invention relates to the field of radar confrontation technology, and in particular to a scenario-driven self-alignment and equivalent confrontation training simulation method. Background Art

[0002] Radar countermeasure performance is an important indicator to measure the radar equipment's ability to counter interference in a complex electromagnetic environment. Radar interference countermeasure tests are conducted on radar equipment to clearly understand the radar equipment's anti-interference performance and accurately grasp the radar equipment's performance. At present, when conducting interference countermeasure tests on radar equipment, countermeasure tests are conducted on radar equipment in different modes by changing the simulation scene. 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] In a Chinese patent with publication number CN 114818778 A, an active angle deception scene data acquisition method, device, equipment and storage medium are disclosed. The scheme realizes the simulation of small-angle inner field active angle deception and large-angle outer field active angle deception signals, and can simply and conveniently obtain active angle deception scene data, providing a realistic deception interference scene for simulated deception interference training. However, it can only simulate existing deception interference scene data, and cannot flexibly realize suppression, deception and combined interference. 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] In a Chinese patent with publication number CN 114818778 A, an active angle deception scene data acquisition method, device, equipment and storage medium are disclosed. The scheme realizes the simulation of small-angle inner field active angle deception and large-angle outer field active angle deception signals, and can simply and conveniently obtain active angle deception scene data, providing a realistic deception interference scene for simulated deception interference training. However, it can only simulate existing deception interference scene data, and cannot flexibly realize suppression, deception and combined interference.

[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 confrontation training task to obtain training information, and generating a test scenario according to the training information; wherein the training information includes the information of the electronic confrontation equipment under test and the confrontation training equipment information, the information of the electronic confrontation equipment under test includes the model, quantity and planned movement information of the electronic confrontation equipment under test, and the confrontation training equipment information includes the model, quantity and planned movement information of the confrontation 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;

[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 emit 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, 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.

[0013] As a further solution of the present invention: 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 according to the actual position of the confrontation training equipment and the actual position of the electronic confrontation equipment under test, generate a radiation radar control signal according to the radiation signal power amplitude and the target delay distance of the confrontation training equipment, and transmit the radiation radar control signal to the flying radar confrontation training target system;

[0014] The signal self-alignment control is used to obtain the position of the rotary-wing UAV, determine the speaker pitch angle according to the position of the rotary-wing 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 pitch angle control range of the speaker is [-45°, 45°], and the azimuth control range of the rotor UAV 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 the simulation of high-fidelity 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 flying UAV platform, the radar confrontation training payload equipment and the rotor UAV azimuth and speaker pitch control are driven by the simulation scenario, thereby realizing a flexibly constructed complex electronic confrontation training scenario, simulating the radar target signal and interference signal in the flying radar confrontation training target. This method can be adapted to the simulation of 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 confrontation equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Figure 1 It is a flow chart of a scenario-driven self-alignment and equivalent adversarial training simulation method of the present invention;

[0021] Figure 2 It 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are 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 confrontation training task to obtain training information, and generating a test scenario according to the training information; wherein the training information includes the information of the electronic confrontation equipment under test and the confrontation training equipment information, the information of the electronic confrontation equipment under test includes the model, quantity and planned movement information of the electronic confrontation equipment under test, and the confrontation training equipment information includes the model, quantity and planned movement information of the confrontation 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;

[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 the simulation of high-fidelity 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 flying UAV platform, the radar confrontation training payload equipment and the rotor UAV azimuth and speaker pitch control are driven by the simulation scenario, thereby realizing a flexibly constructed complex electronic confrontation training scenario, simulating the radar target signal and the interference signal in the flying radar confrontation training target. This method can be adapted to the simulation of 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 confrontation 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 under test: {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 the 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 flying radar countermeasure target training system. Obtain the position information of the flying 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 aimed at the target of the flying radar countermeasure system, during the initial setting, ensure that the pitch angle θ of the rotorcraft 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 the radar countermeasure system:

[0034]

[0035] According to the operational requirements, the motion trajectories of the tested electronic countermeasure equipment and simulated radar equipment planned in step 1 are 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 scenario in real time:

[0047]

[0048] According to the above calculated radiation output power control and delay control, the ground display control equipment transmits it to the radar in real time. After the electronic countermeasure equipment under test receives the radar signal, it performs electronic interference. The interference signal received by the flying radar countermeasure training payload equipment is superimposed on the target signal, and the signal processing system is used to analyze and evaluate the interference effect of the electronic countermeasure 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 scene; the flying radar countermeasure training target system is used to emit 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 situation of the present embodiment, 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 radiation signal power amplitude and target delay distance of the confrontation training equipment in real time according to the actual position of the confrontation training equipment and the actual position of the electronic confrontation equipment under test, generate a radiation radar control signal according to 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;

[0052] The signal self-alignment control is used to obtain the position of the rotary-wing UAV, determine the speaker pitch angle according to the position of the rotary-wing 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 situation of this embodiment, 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.

[0055] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation 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 confrontation training task to obtain training information, and generating a test scenario according to the training information; wherein the training information includes the information of the electronic confrontation equipment under test and the confrontation training equipment information, the information of the electronic confrontation equipment under test includes the model, quantity and planned movement information of the electronic confrontation equipment under test, and the confrontation training equipment information includes the model, quantity and planned movement information of the confrontation 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 transmitting the radiation radar signal to the electronic countermeasure equipment under test via wireless; 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. According to claim 1, a scenario-driven self-alignment and equivalent adversarial training simulation method is characterized in that: It also includes a ground display control terminal and a flying radar confrontation training target system; the ground display control terminal is used to plan the test scene; the flying radar confrontation training target system is used to emit radiation 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 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.

4. The scenario-driven self-alignment and equivalent adversarial training simulation method according to claim 2 is 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 according to the actual position of the confrontation training equipment and the actual position of the electronic confrontation equipment under test, generate a radiation radar control signal according to 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 position of the rotary-wing UAV, determine the speaker pitch angle according to the position of the rotary-wing 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, 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.

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