Whole-process simulation test method and device for anti-radiation unmanned aerial vehicle

Abstract

The invention discloses a full-process simulation test method and device for an anti-radiation unmanned aerial vehicle. The method comprises the following steps: respectively sending a radar signal and an active decoy signal through a first channel and a second channel of a multi-channel radar signal simulator; steering information and acceleration information of the tested anti-radiation unmanned aerial vehicle are acquired, and the angle of the turntable is adjusted according to the steering information, so that the direction of the turntable is matched with the simulation flight direction of the anti-radiation unmanned aerial vehicle; the current distance between the anti-radiation unmanned aerial vehicle and the radar and the current distance between the anti-radiation unmanned aerial vehicle and the active bait are calculated according to the acceleration information, so that the signal intensity of the radar signal and the active bait signal and the distance between antennas corresponding to the first channel and the second channel are adjusted; and then the radar signal is sent again through the first channel of the multi-channel radar signal simulator, and the active decoy signal is sent through the second channel of the multi-channel radar signal simulator until the test is finished. The whole working process of the anti-radiation unmanned aerial vehicle can be dynamically simulated.

Description

Technical Field

[0001] The present invention relates to the field of simulation testing, and in particular to a full-process simulation testing method and device for an anti-radiation unmanned aerial vehicle. Background Art

[0002] Anti-radiation drones passively receive electromagnetic signals emitted by radars, detecting, finding their direction, and tracking them. Based on the detected target's position, they then guide the drone to the target point. To improve radar countermeasures, multiple active decoys are typically deployed around the radar for protection. Therefore, it is necessary to evaluate and test the performance of anti-radiation drones against active decoy jamming. Due to the high cost and limited sample size of field tests, testing can be conducted using hardware-in-the-loop systems in darkrooms or test fields.

[0003] Existing anti-radiation UAV semi-physical test systems are as follows: Figure 1 As shown, it generally includes two or more radar signal simulators, one for simulating the radar and the other for active decoys. During darkroom testing, the anti-radiation drone is mounted on a turntable, and the radar signal simulator is placed on the ground or on a tripod in a specific position within the darkroom to simulate the spatial deployment of the radar and active decoy. At the start of the test, the signal parameters of the radar and active decoy are set, and the radiation intensity and placement of the radar signal simulator are adjusted. Then, by obtaining relevant information about the anti-radiation drone being tested, the turntable's movement is controlled to simulate the attitude changes in actual flight, thereby statically testing the anti-radiation drone's performance against active decoys.

[0004] In summary, during current anechoic chamber testing, anti-radiation drones are deployed on a turntable, which is unable to simulate the actual long-distance flight process of the drone. Furthermore, the radar signal simulator is not linked to the anti-radiation drone or the turntable. Therefore, the existing test system can only test the anti-radiation drone's countermeasure performance in a static state, and cannot simulate the entire process of anti-radiation drone detection, sorting, guidance, and flight. Summary of the Invention

[0005] The technical problem to be solved by the present invention is: In response to the above-mentioned problems of the prior art, a full-process simulation test method and device for anti-radiation UAVs are provided, which can dynamically simulate the full work process of anti-radiation UAV detection, sorting, guidance, and flight in a microwave darkroom.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: A full-process simulation test method for an anti-radiation UAV is applied to a full-process simulation test device for an anti-radiation UAV. The full-process simulation test device for an anti-radiation UAV includes a turntable, a multi-channel radar signal simulator, and an antenna bracket. The turntable is mounted with the anti-radiation UAV under test. The antennas on the antenna bracket correspond to the radar and the active decoy, respectively. The method includes: S101) sending a radar signal through a first channel of a multi-channel radar signal simulator, and sending an active decoy signal through a second channel of the multi-channel radar signal simulator; S102) Obtaining steering information and acceleration information of the anti-radiation UAV under test; S103) adjusting the angle of the turntable according to the steering information so that the turntable orientation matches the simulated flight direction of the anti-radiation UAV; S104) Calculate the current distance between the anti-radiation UAV and the radar and the current distance between the anti-radiation UAV and the active decoy signal based on the acceleration information, adjust the signal strength of the radar signal based on the current distance between the anti-radiation UAV and the radar, and adjust the signal strength of the active decoy signal based on the current distance between the anti-radiation UAV and the active decoy signal. Also adjust the spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel based on the current distance between the anti-radiation UAV and the radar and the current distance between the anti-radiation UAV and the active decoy signal, and then execute step S101 again until the test ends.

[0007] Furthermore, in step S104, when adjusting the signal strength of the radar signal according to the current distance between the anti-radiation UAV and the radar, specifically, the current signal attenuation value of the radar signal is calculated according to the current distance between the anti-radiation UAV and the radar, and then the new signal strength of the radar signal is calculated according to the current signal attenuation value of the radar signal; when adjusting the signal strength of the active decoy signal according to the current distance between the anti-radiation UAV and the active decoy signal, specifically, the current signal attenuation value of the active decoy signal is calculated according to the current distance between the anti-radiation UAV and the active decoy, and then the current signal strength of the active decoy signal is calculated according to the current signal attenuation value of the active decoy signal.

[0008] Furthermore, when calculating the current signal attenuation value of the radar signal based on the current distance between the anti-radiation drone and the radar, the calculation formula is as follows:

[0009] in, is the current signal attenuation value of the radar signal, R is the current distance between the anti-radiation drone and the radar, f is the electromagnetic wave frequency of the radar signal.

[0010] Furthermore, in step S104, when adjusting the spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel according to the current distance between the anti-radiation drone and the radar and the current distance between the anti-radiation drone and the active decoy signal, specifically, the current distance between the anti-radiation drone and the active decoy is divided by the current distance between the anti-radiation drone and the radar, and then the calculation result is multiplied by the distance between the turntable and the antenna bracket to obtain the current spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel.

[0011] Furthermore, before step S101, it also includes: dividing the initial distance between the anti-radiation drone and the active decoy by the initial distance between the anti-radiation drone and the radar, and then multiplying the calculated result by the distance between the turntable and the antenna bracket to obtain the initial spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel.

[0012] The present invention also proposes a full-process simulation test device for an anti-radiation UAV, comprising a turntable, a multi-channel radar signal simulator, an antenna bracket and a simulation control device. The anti-radiation UAV to be tested is mounted on the turntable, and the antennas on the antenna bracket correspond to the radar and the active decoy respectively. The simulation control device is connected to the turntable, the multi-channel radar signal simulator, the antenna bracket and the anti-radiation UAV to be tested respectively through a network switch. The simulation control device is programmed or configured to execute the full-process simulation test method for the anti-radiation UAV.

[0013] Furthermore, the antenna bracket includes a base and an electric telescopic rod, the base is supported below the electric telescopic rod, the antennas are arranged in gaps along the length direction of the electric telescopic rod, and the electric telescopic rod is connected to the simulation control device through a network switch, so that the spacing between the antennas changes when the electric telescopic rod is controlled to extend or retract.

[0014] The present invention also proposes a full-process simulation test system for an anti-radiation UAV, comprising a processor and a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the full-process simulation test method for an anti-radiation UAV.

[0015] The present invention also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the full-process simulation test method of the anti-radiation drone are implemented.

[0016] The present invention also proposes a computer program product, including a computer program, which, when executed by a processor, implements the steps of the full-process simulation test method for anti-radiation drones.

[0017] Compared with the prior art, the advantages of the present invention are: The present invention obtains the steering information and acceleration information of the anti-radiation UAV being tested in each round of simulation testing, and updates the distance between the anti-radiation UAV and the radar not only according to the angle of the turntable adjustment but also according to the acceleration information. The signal strength of the radar signal and the active decoy signal, as well as the spacing between the antennas, are adjusted by the updated distance, thereby realizing the linkage between the radar signal simulator, the anti-radiation UAV and the turntable, thereby dynamically simulating the entire workflow of anti-radiation UAV detection, sorting, guidance and flight. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Schematic diagram of hardware deployment for simulation testing of existing anti-radiation drones.

[0019] Figure 2 This is a hardware connection diagram of the full-process simulation test device for anti-radiation drones in an embodiment of the present invention.

[0020] Figure 3 This is a flow chart of the full-process simulation test method for an anti-radiation UAV in an embodiment of the present invention.

[0021] Figure 4 Diagram for adjusting the spacing between antennas.

[0022] Figure 5 The figure is a flow chart of performing an anti-radiation UAV simulation test in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The present invention will be further described below in conjunction with the accompanying drawings and specific preferred embodiments, but the scope of protection of the present invention is not limited thereby.

[0024] Example 1 This embodiment proposes a full-process simulation test method for anti-radiation UAVs, which can dynamically simulate the full process of anti-radiation UAV detection, sorting, guidance, and flight in a microwave darkroom. Figure 2 The full-process simulation test device for anti-radiation UAV shown in the figure includes a turntable, a multi-channel radar signal simulator and a retractable antenna bracket. The anti-radiation UAV to be tested is installed on the turntable. The antennas on the antenna bracket correspond to the radar and active decoy respectively. In addition, the multi-channel radar signal simulator adopts a common source design between its multiple channels, which can realize functions such as coherent deception. Figure 3 As shown, the method of this embodiment includes: S100) Initialization: Set up the simulation test scene, calibrate the starting position S0, initial speed v0 of the anti-radiation drone, and the position S of the radar and active decoy R 、S Dand signal parameter P R 、P D ; According to the starting position S0 of the anti-radiation UAV and the position S of the radar and active decoy R 、S D , calculate the initial distance between the anti-radiation drone and the radar R 0. Initial distance between anti-radiation drone and active decoy D 0, which can be obtained by calculating the Euclidean distance based on the coordinates of these positions in the two-dimensional plane; Calculate the initial spacing between antennas. In this implementation, radar signals and active decoy signals are sent to the anti-radiation drone through corresponding antennas. Assuming the scenario, R is the distance between the anti-radiation drone and the radar, D is the distance between the radar and the active decoy, and the distance between the turntable supporting the anti-radiation UAV and the antenna bracket in the darkroom is r , then according to the proportional relationship, set the distance between the radar radiation source and the antenna corresponding to the active bait d for:

[0025] Therefore, the initial distance between the anti-radiation drone and the radar R 0. Initial distance between anti-radiation drone and active decoy D Substituting 0 into formula (1) can obtain the initial spacing between antennas; S101) Send radar signals and active decoy signals through different channels of a multi-channel radar signal simulator: In this embodiment, the transmission channels of the radar signal and the active decoy signal are respectively referred to as the first channel and the second channel for distinction. Specifically, the first channel of the multi-channel radar signal simulator is used to generate a corresponding electromagnetic wave signal based on the signal parameters of the radar in the current simulation to simulate the radar signal of the radar radiation source. At the same time, the second channel of the multi-channel radar signal simulator is used to generate a corresponding electromagnetic wave signal based on the signal parameters of the active decoy in the current simulation to simulate the active decoy signal of the active decoy. S102) Obtain the flight control parameters of the anti-radiation UAV: The anti-radiation drone receives electromagnetic wave signals from radar and active decoys emitted by a multi-channel radar signal simulator, detects and sorts them, and after confirming the target, generates flight control parameters to guide the drone to the target. The flight control parameters include steering, acceleration and other information. S103) Simulate the flight direction of the anti-radiation drone: In this embodiment, by obtaining the steering information of the anti-radiation UAV being tested, corresponding turntable control parameters are generated according to the steering information to adjust the turntable angle so that the turntable orientation matches the simulated flight direction of the anti-radiation UAV, thereby achieving the simulation of the flight direction of the anti-radiation UAV; S104) Simulate the flight distance of the anti-radiation drone: This embodiment obtains acceleration information from the anti-radiation drone under test and simulates the drone's flight distance based on the acceleration information. Specifically, the current distance between the anti-radiation drone and the radar, as well as the current distance between the anti-radiation drone and the active decoy signal, is calculated based on the acceleration information. The radar signal strength is adjusted based on the current distance between the anti-radiation drone and the radar, and the active decoy signal strength is adjusted based on the current distance between the anti-radiation drone and the active decoy signal. Furthermore, the spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel is adjusted based on the current distance between the anti-radiation drone and the radar, and the current distance between the anti-radiation drone and the active decoy signal. Step S101 is then repeated until the test ends.

[0026] In step S104, when calculating the current distance between the anti-radiation drone and the radar and the current distance between the anti-radiation drone and the active decoy signal based on the acceleration information, the following steps are specifically included: First, update the speed of the anti-radiation drone based on the current acceleration information. The formula is as follows:

[0027] in, τ is the integral variable, which represents the integral from 0 to t time, For anti-radiation drones in time τ acceleration; Then, based on the current acceleration information and the current steering information, the position of the anti-radiation drone is updated. The formula is as follows:

[0028]

[0029] in, and They represent the horizontal and vertical coordinates of the starting position S0 of the anti-radiation drone, v ( τ ) is the anti-radiation drone at time τ speed, θ ( τ ) is the anti-radiation drone at time τ The steering angle, cos( θ ( τ )) and sin( θ ( τ )) respectively represent the anti-radiation drone in x Axis and y Unit vector in the direction of the axis; Finally, based on the updated position of the anti-radiation drone, the current distance between the anti-radiation drone and the radar and the current distance between the anti-radiation drone and the active decoy signal are updated. The formula is as follows:

[0030]

[0031] in, and They represent the horizontal and vertical coordinates of the position of the anti-radiation drone at time t, and Represents the radar position S R The horizontal and vertical coordinates of and Represent the active bait position S D The horizontal and vertical coordinates of .

[0032] As the simulation proceeds, the anti-radiation drone flies forward, its distance from the radar getting closer and closer. Based on the electromagnetic wave propagation attenuation formula, the signal power of the multi-channel radar signal simulator needs to be adjusted accordingly. Therefore, in step S104, when adjusting the radar signal strength based on the current distance between the anti-radiation drone and the radar, the current signal attenuation value of the radar signal is calculated based on the current distance between the anti-radiation drone and the radar. Then, the new signal strength of the radar signal is calculated based on the current signal attenuation value of the radar signal. The formula for the signal attenuation value is as follows:

[0033] in, R is the distance between the anti-radiation drone and the radar, in km; f is the electromagnetic wave frequency of the radar, in MHz.

[0034] Therefore, the result of formula (5) is taken as the distance R Substituting this into formula (7), the current signal attenuation value of the radar signal can be obtained. Then, the signal strength in the radar signal parameter is subtracted from the current signal attenuation value to obtain the new signal strength. The signal strength value in the radar signal parameter is updated to the new signal strength value. Subsequently, the radar signal matching the anti-radiation drone approaching the radar can be generated according to the updated radar signal parameters.

[0035] Similarly, considering that the anti-radiation UAV flies forward, the distance between the anti-radiation UAV and the active decoy will also change. In order to match the active decoy signal strength after the distance between the anti-radiation UAV and the active decoy changes, step S104 also adjusts the signal strength of the active decoy signal according to the current distance between the anti-radiation UAV and the active decoy. Specifically, according to the current distance between the anti-radiation UAV and the active decoy, the result of formula (6) is used as the distance R Substitute into formula (7), and use the electromagnetic wave frequency of the active bait signal as the frequency f Substitute it into formula (7) to calculate the current signal attenuation value of the active decoy signal, and then calculate the new signal strength of the radar signal based on the current signal attenuation value of the active decoy signal. That is, subtract the current signal attenuation value from the signal strength in the signal parameter of the active decoy signal to obtain the new signal strength, and update the signal strength value in the active decoy signal parameter to the new signal strength value. In this way, the active decoy signal that matches the anti-radiation UAV approaching the radar can be generated according to the updated active decoy signal parameters.

[0036] Considering that the angular spacing between the anti-radiation UAV and the radar and active decoy will change as the anti-radiation UAV flies forward, in step S104 of this embodiment, the spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel is adjusted according to the current distance between the anti-radiation UAV and the radar and the current distance between the anti-radiation UAV and the active decoy signal to simulate this change. Specifically, the current distance between the anti-radiation UAV and the radar obtained by formula (5) and the current distance between the anti-radiation UAV and the active decoy obtained by formula (6) are substituted into formula (1) to obtain the current spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel.

[0037] like Figure 4 As shown in the simulation scenario, as the distance R between the anti-radiation drone and the radar becomes smaller and smaller, the spacing between the antennas increases from d 1 increases to d 2. It can effectively simulate the situation where the angle between the anti-radiation drone and the radar and active decoy increases.

[0038] This embodiment, through steps S101 to S104, simulates the flight direction and distance of an anti-radiation drone during a single round of simulation testing. It also updates the strength of the radar signal and active decoy signal after the anti-radiation drone approaches the radar during a single round of simulation testing, as well as the angles between the anti-radiation drone and the radar and active decoy. By iteratively executing steps S101 to S104 until the test termination conditions are met, the entire workflow of dynamically simulating anti-radiation drone detection, sorting, guidance, and flight can be achieved. The test termination conditions of this embodiment include, but are not limited to, reaching the maximum number of iterations, or the distance between the anti-radiation drone and the radar being less than a specified distance, or the spacing between the antennas being greater than a specified spacing.

[0039] Example 2 This embodiment proposes a full-process simulation test device for anti-radiation UAVs, such as Figure 2 As shown, it includes a turntable, a multi-channel radar signal simulator, an antenna bracket and a simulation control device. The anti-radiation UAV to be tested is installed on the turntable. The antennas on the antenna bracket correspond to the radar and the active decoy respectively. The simulation control device is connected to the turntable, the multi-channel radar signal simulator, the antenna bracket and the anti-radiation UAV to be tested through a network switch. The simulation control device is programmed or configured to execute the full-process simulation test method of the anti-radiation UAV described in Example 1.

[0040] In this embodiment, the antenna bracket includes a base and an electric telescopic rod, the base is supported below the electric telescopic rod, and the antennas are arranged in gaps along the length direction of the electric telescopic rod, specifically at both ends of the electric telescopic rod. The electric telescopic rod is connected to the simulation control device through a network switch, so that the spacing between the antennas changes when the electric telescopic rod is controlled to extend or retract.

[0041] The simulation control device of this embodiment serves as the core control device, coordinating the work of each device in the entire system. Its workflow is as follows: Figure 5 As shown, including: (1) Set the simulation test scenario in advance through the simulation control equipment, calibrate the starting position and initial speed of the anti-radiation drone, and the position and signal parameters of the radar and active decoy.

[0042] (2) Based on the starting position of the anti-radiation UAV and the positions of the radar and the active decoy, the initial distance between the anti-radiation UAV and the radar, and the initial distance between the anti-radiation UAV and the active decoy are calculated. The initial distance between the anti-radiation UAV and the radar, and the initial distance between the anti-radiation UAV and the active decoy are substituted into the formula (1) of the first embodiment to obtain the initial spacing between the antennas, and the electric telescopic rod is controlled to adjust its length to match the initial spacing.

[0043] (3) The simulation control device sends the signal control parameters of the radar and active decoy to the multi-channel radar signal simulator. The multi-channel radar signal simulator generates corresponding electromagnetic wave signals based on the signal control parameters, simulating the radar radiation source and active decoy respectively, and transmits the signals of the radar radiation source and active decoy through the corresponding antennas.

[0044] (4) The anti-radiation drone receives electromagnetic wave signals emitted by the multi-channel radar signal simulator, detects, sorts, and confirms the target.

[0045] (5) The anti-radiation drone generates flight control parameters to guide the drone to the target and sends the flight control parameters to the simulation control device.

[0046] (6) The simulation control device controls the turntable according to the steering information in the flight control parameters, sends the turntable control parameters, and matches the turntable orientation with the simulated flight direction of the anti-radiation UAV.

[0047] (7) The simulation control device simulates the change of the distance between the anti-radiation UAV and the radar according to the acceleration information in the flight control parameters and the formulas (2) to (6) of the first embodiment. Then, the signal attenuation value corresponding to the radar signal and the active decoy is updated according to the formula (7) of the first embodiment, and the corresponding signal strength is updated. Finally, the changed distance is substituted into the formula (1) of the first embodiment to obtain the new spacing between the antennas to simulate the change of the angle between the anti-radiation UAV and the radar and the active decoy, thereby realizing the deduction of the motion state of the anti-radiation UAV.

[0048] Example 3 This embodiment proposes a full-process simulation test system for an anti-radiation drone, including a processor and a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the full-process simulation test method for an anti-radiation drone described in Example 1.

[0049] This embodiment also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the full-process simulation test method for the anti-radiation drone described in Example 1 are implemented.

[0050] This embodiment also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the full-process simulation test method for anti-radiation drones described in Example 1.

[0051] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A full-process simulation test method for anti-radiation UAV, characterized in that: The invention is applied to a full-process simulation test device for an anti-radiation UAV, which includes a turntable, a multi-channel radar signal simulator, and an antenna bracket. The turntable is mounted with the anti-radiation UAV to be tested, and the antennas on the antenna bracket correspond to the radar and the active decoy respectively. The method includes: S101) sending a radar signal through a first channel of a multi-channel radar signal simulator, and sending an active decoy signal through a second channel of the multi-channel radar signal simulator; S102) obtaining steering information and acceleration information of the anti-radiation UAV under test, and adjusting the angle of the turntable according to the steering information so that the turntable orientation matches the simulated flight direction of the anti-radiation UAV; S103) adjusting the angle of the turntable according to the steering information so that the turntable orientation matches the simulated flight direction of the anti-radiation UAV; S104) Calculate the current distance between the anti-radiation UAV and the radar and the current distance between the anti-radiation UAV and the active decoy signal based on the acceleration information, adjust the signal strength of the radar signal based on the current distance between the anti-radiation UAV and the radar, and adjust the signal strength of the active decoy signal based on the current distance between the anti-radiation UAV and the active decoy signal. Also adjust the spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel based on the current distance between the anti-radiation UAV and the radar and the current distance between the anti-radiation UAV and the active decoy signal, and then execute step S101 again until the test ends.

2. The full-process simulation test method for anti-radiation UAV according to claim 1 is characterized in that: In step S104, when adjusting the signal strength of the radar signal according to the current distance between the anti-radiation UAV and the radar, specifically, the current signal attenuation value of the radar signal is calculated according to the current distance between the anti-radiation UAV and the radar, and then the new signal strength of the radar signal is calculated according to the current signal attenuation value of the radar signal; when adjusting the signal strength of the active decoy signal according to the current distance between the anti-radiation UAV and the active decoy signal, specifically, the current signal attenuation value of the active decoy signal is calculated according to the current distance between the anti-radiation UAV and the active decoy, and then the current signal strength of the active decoy signal is calculated according to the current signal attenuation value of the active decoy signal.

3. The full-process simulation test method for anti-radiation UAV according to claim 2 is characterized in that: When calculating the current signal attenuation value of the radar signal based on the current distance between the anti-radiation drone and the radar, the calculation formula is as follows: in, is the current signal attenuation value of the radar signal, R is the current distance between the anti-radiation drone and the radar, f is the electromagnetic wave frequency of the radar signal.

4. The full-process simulation test method for anti-radiation UAV according to claim 1 is characterized in that: In step S104, when adjusting the spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel according to the current distance between the anti-radiation drone and the radar and the current distance between the anti-radiation drone and the active decoy signal, specifically, the current distance between the anti-radiation drone and the active decoy is divided by the current distance between the anti-radiation drone and the radar, and then the calculation result is multiplied by the distance between the turntable and the antenna bracket to obtain the current spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel.

5. The full-process simulation test method for anti-radiation UAV according to claim 1 is characterized in that: Before step S101, the method also includes: dividing the initial distance between the anti-radiation drone and the active decoy by the initial distance between the anti-radiation drone and the radar, and then multiplying the calculated result by the distance between the turntable and the antenna bracket to obtain the initial spacing between the antenna corresponding to the first channel and the antenna corresponding to the second channel.

6. A full-process simulation test device for anti-radiation UAV, characterized in that: The invention comprises a turntable, a multi-channel radar signal simulator, an antenna bracket and a simulation control device. The anti-radiation UAV to be tested is mounted on the turntable. The antennas on the antenna bracket correspond to the radar and the active decoy respectively. The simulation control device is connected to the turntable, the multi-channel radar signal simulator, the antenna bracket and the anti-radiation UAV to be tested respectively through a network switch. The simulation control device is programmed or configured to execute the full-process simulation test method for the anti-radiation UAV according to any one of claims 1 to 5.

7. The full-process simulation test device for anti-radiation UAV according to claim 6 is characterized in that: The antenna bracket includes a base and an electric telescopic rod. The base is supported below the electric telescopic rod. The antennas are arranged at intervals along the length of the electric telescopic rod. The electric telescopic rod is connected to a simulation control device through a network switch, so that the spacing between the antennas changes when the electric telescopic rod is controlled to extend or retract.

8. A full-process simulation test system for anti-radiation UAV, characterized by: It includes a processor and a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the full-process simulation test method of the anti-radiation drone according to any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the full-process simulation test method of the anti-radiation drone according to any one of claims 1 to 5 are implemented.

10. A computer program product, characterized in that It includes a computer program, which, when executed by a processor, implements the steps of the full-process simulation test method for an anti-radiation drone according to any one of claims 1 to 5.

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