An unmanned aerial vehicle decoy site generation system, method, terminal, and medium

By combining the deception spatial mapping model and the telemetry and control module, the deception location is calculated in real time, and the GPS satellite signal delay is used for interference, which solves the problem of guiding drones to the deception destination and achieves a high-confidence dynamic deception effect.

CN117053632BActive Publication Date: 2026-05-19NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Filing Date
2023-04-25
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

Existing drone deception methods fail to effectively lure target drones to the deception destination and lack a method for generating real-time, dynamic deception point locations.

Method used

By inducing a deception spatial mapping model, combined with the telemetry and control module and control center, the deception location is calculated and generated in real time. The GPS satellite signal delay is used to interfere with and deceive, so as to achieve dynamic and uninterrupted guidance of the target UAV.

Benefits of technology

It achieves dynamic deception of target drones, ensuring they fly to the set destination, and provides a high-confidence deception trajectory, supplementing the shortcomings of relay-type drone navigation deception.

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Abstract

The application discloses a UAV deception site generation system and method, a terminal and a medium, and particularly relates to the technical field of anti-UAV, and at least comprises an induced deception space mapping model, which acquires the position of a target UAV, sets a deception position and specifies a deception opportunity point, thereby formulating a UAV deception site generation method. The application establishes an induced deception space mapping model by using the original landing airport position of the target UAV, a deception destination position and a deception opportunity point position, converts the real-time position of the target UAV into a deception point position by using the induced deception space mapping model, calculates the forwarding delay of an interference device, and finally makes the target UAV be deceived to the set deception destination.
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Description

Technical Field

[0001] This invention relates to the field of anti-drone technology, specifically to a drone deception location generation system, method, terminal, and medium. Background Technology

[0002] In recent years, drones have played a significant role in the Middle East battlefields. Their high mobility, low cost, lack of need for pilot safety considerations, and small size and strong concealment have been proven in actual combat, and their combat performance and advantages have been recognized by various countries. Given the large-scale deployment of drones on the battlefield, research into counter-drone technology has become increasingly important.

[0003] Currently, the main counter-drone technologies include: high-power jamming to suppress remote control links, firepower strikes, net-and-ball capture, radio hijacking, and drone guidance. The drawback of high-power jamming is its limited effectiveness against autonomously navigational drones; after being subjected to high-power jamming, the drone's flight path and crash site become uncontrollable, easily leading to secondary safety incidents. The drawback of firepower strikes is the high cost of precision-guided artillery shells, making them overkill for drones. Net-and-ball capture has extremely limited effective range, applicable only within visual range. Radio hijacking involves deciphering the drone's remote control link to seize control, but radio deciphering is difficult and lacks versatility. Drone guidance and deception primarily involve injecting time delays into genuine GPS navigation signals using jamming equipment, forwarding them to the target drone, causing it to receive incorrect positioning information, thus affecting its flight status and achieving the counter-attack objective. It possesses high stealth capabilities and is a relatively ideal counter-measure.

[0004] In drone jamming and deception, the time delay of injecting real GPS signals is determined by the position of the target drone, the deception point, the jamming equipment, and the GPS satellite position. The deception point is determined by the deceiving party, and its position determines the flight direction and trajectory of the target drone after being deceived. Therefore, in order to make the target drone fly to the deceived destination, the appropriate deception point position must be calculated in real time during the jamming process.

[0005] The inventors discovered that conventional relay-type drone navigation deception methods do not address how to lure and deceive the target drone to a deceptive destination. Therefore, this invention provides a drone deception location generation method, which provides a useful supplement to relay-type drone navigation deception methods. Summary of the Invention

[0006] Therefore, the present invention provides a drone deception location generation system, method, terminal, and medium to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a drone deception location generation system, the system comprising at least a deception spatial mapping model, the deception spatial mapping model acquiring the location of the target drone, setting the deception location, and specifying the timing of the deception, thereby formulating a drone deception location generation method;

[0008] It also includes a telemetry and control module, used for real-time remote control, telemetry, tracking and positioning of the UAV, and information transmission;

[0009] The control center transmits the acquired data from the measurement and control module to the deception spatial mapping model, providing the necessary computational data for the deception method.

[0010] This invention discloses a method for generating drone decoy locations. This method is applicable to the aforementioned drone decoy location generation system. The specific steps of the method include:

[0011] S1. Obtain the target drone's original landing airport at the current moment. latitude and longitude location ;

[0012] S2, Set the target drone's deceptive destination latitude and longitude location ;

[0013] S3. Determine the opportune moment to lure the target drone. latitude and longitude location ;

[0014] S4. Based on the three locations mentioned above, determine the timing for deceiving the target drone. Establish a northeast-oriented coordinate system with the origin as the coordinate origin, and then... Convert latitude and longitude coordinates to coordinates in a northeast coordinate system , will point Convert latitude and longitude coordinates to coordinates in this northeast coordinate system ;

[0015] S5, Calculate line segments and The angle between and line segments and The ratio of lengths And according to the included angle The ratio of length Establish a spatial mapping model for inducing deception;

[0016] S6. Obtain the current position of the target UAV in the aforementioned northeast coordinate system. Calculate the decoy location after spatial mapping of this position. ;

[0017] S7. Based on the current location of the target drone, the decoy location, the GPS satellite location, and the jamming device location, calculate the forwarding delay of the GPS satellite signal and jam the target drone.

[0018] S8. The control center sends out a detection signal through the telemetry and control module to conduct telemetry. The target UAV position is detected at the set time interval. S6 to S8 are repeated to calculate the decoy position and the corresponding time delay in real time. The decoy interference signal is then forwarded to the target UAV to achieve continuous interference and deception of the target UAV.

[0019] Furthermore, in steps S1-S2, the original landing location of the target UAV is obtained through intelligence systems or radar. And choose a suitable deception destination location. .

[0020] Furthermore, in step S3, the position of the target drone at the moment the deception begins is recorded. This refers to the timing and location when the target drone is lured away.

[0021] Furthermore, in S4, points Establish a northeast-oriented coordinate system with the origin as the coordinate point. In this coordinate system coordinate( )for:

[0022] ,

[0023] , ;

[0024] And point Coordinates in this coordinate system for:

[0025] .

[0026] Furthermore, in S5, the line segment and The angle between line segment and The ratio of lengths .

[0027] Furthermore, in S6, the decoy location Location of the target drone The relationship is .

[0028] Furthermore, in S5, the generated induced deception space mapping model is as follows: , .

[0029] The present invention provides a computer terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a method for generating drone deception locations as described above.

[0030] The present invention provides a computer storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any one of the above.

[0031] The present invention has the following advantages:

[0032] 1. Conventional relay-based UAV navigation deception methods do not address how to guide and deceive the target UAV to the deception destination. This invention can generate deception point locations in real time based on the pre-set deception destination location, and dynamically and continuously interfere with and deceive the target UAV, thereby causing the target UAV to fly to the deception destination. This provides a useful supplement to relay-based UAV navigation deception methods.

[0033] 2. This invention can update the deception point location in real time during the deception process of the target drone, forming a high-confidence dynamic deception point location trajectory. Attached Figure Description

[0034] Figure 1 The flowchart of the UAV decoy location generation system based on spatial mapping provided by the present invention;

[0035] Figure 2 This is a block diagram of the induced deception spatial mapping model system provided by the present invention;

[0036] Figure 3 A diagram illustrating the drone deception strategy provided by this invention. Detailed Implementation

[0037] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] like Figure 1-3 As shown in the figure, this embodiment provides a drone deception location generation system. The system includes a deception spatial mapping model, which acquires the location of the target drone, sets the deception location, and specifies the timing of the deception, thereby formulating a drone deception location generation method.

[0039] It also includes a telemetry and control module, used for real-time remote control, telemetry, tracking and positioning of the UAV, and information transmission;

[0040] The control center transmits the acquired data from the measurement and control module to the deception spatial mapping model, providing the necessary computational data for the deception method.

[0041] This invention discloses a method for generating drone decoy locations. This method is applicable to the aforementioned drone decoy location generation system. The specific steps of the method include:

[0042] S1. Obtain the target drone's original landing airport at the current moment. latitude and longitude location ;

[0043] As a preferred technical solution in this application, the original landing location of the target UAV is obtained through intelligence systems or radar. And choose a suitable deception destination location. .

[0044] S2, Set the target drone's deceptive destination latitude and longitude location ;

[0045] S3. Determine the opportune moment to lure the target drone. latitude and longitude location ;

[0046] As a preferred technical solution of this application, the position of the target drone is recorded at the moment when the deception of the target drone begins. This refers to the timing and location when the target drone is lured away.

[0047] S4. Based on the three locations mentioned above, determine the timing for deceiving the target drone. Establish a northeast-oriented coordinate system with the origin as the coordinate origin, and then... Convert latitude and longitude coordinates to coordinates in a northeast coordinate system , will point Convert latitude and longitude coordinates to coordinates in this northeast coordinate system ;

[0048] As the preferred technical solution of this application, with point Establish a northeast-oriented coordinate system with the origin as the coordinate point. In this coordinate system coordinate( )for:

[0049] ,

[0050] , ;

[0051] And point Coordinates in this coordinate system for:

[0052] .

[0053] S5, Calculate line segments and The angle between and line segments and The ratio of lengths And according to the included angle The ratio of length Establish a spatial mapping model for inducing deception;

[0054] As a preferred technical solution in this application, line segment and The angle between line segment and The ratio of lengths .

[0055] S6. Obtain the current position of the target UAV in the aforementioned northeast coordinate system. Calculate the decoy location after spatial mapping of this position. ;

[0056] As a preferred technical solution in this application, the deceptive position Location of the target drone The relationship is .

[0057] As a preferred technical solution in this application, the generated induced deception space mapping model is as follows: , .

[0058] S7. Based on the current location of the target drone, the decoy location, the GPS satellite location, and the jamming device location, calculate the forwarding delay of the GPS satellite signal and jam the target drone.

[0059] S8. The control center sends out a detection signal through the telemetry and control module to conduct telemetry. The target UAV position is detected at the set time interval. S6 to S8 are repeated to calculate the decoy position and the corresponding time delay in real time. The decoy interference signal is then forwarded to the target UAV to achieve continuous interference and deception of the target UAV.

[0060] The present invention provides a computer terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a method for generating drone deception locations as described above.

[0061] The present invention provides a computer storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any one of the above.

[0062] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A method for generating drone decoy locations, characterized in that: The specific steps of the method include: S1. Obtain the target drone's original landing airport at the current moment. latitude and longitude location ; S2, Set the target drone's deceptive destination latitude and longitude location ; S3. Determine the opportune moment to lure the target drone. latitude and longitude location ; S4. Based on the three locations mentioned above, determine the timing for deceiving the target drone. Establish a northeast-oriented coordinate system with the origin as the coordinate origin, and then... Convert latitude and longitude coordinates to coordinates in a northeast coordinate system , will point Convert latitude and longitude coordinates to coordinates in this northeast coordinate system ; S5, Calculate line segments and The angle between and line segments and The ratio of lengths And according to the included angle The ratio of length Establish a spatial mapping model for inducing deception; S6. Obtain the current position of the target UAV in the aforementioned northeast coordinate system. Calculate the decoy location after spatial mapping of this position. ; S7. Based on the current location of the target drone, the decoy location, the GPS satellite location, and the jamming device location, calculate the forwarding delay of the GPS satellite signal and jam the target drone. S8. The control center sends out a detection signal through the telemetry and control module to conduct telemetry. The target UAV position is detected at the set time interval. S6 to S8 are repeated to calculate the decoy position and the corresponding time delay in real time. The decoy interference signal is then forwarded to the target UAV to achieve continuous interference and deception of the target UAV.

2. The method for generating drone deception locations according to claim 1, characterized in that: In steps S1-S2, the original landing location of the target UAV is obtained through intelligence systems or radar. And choose a suitable deception destination location. .

3. The method for generating drone deception locations according to claim 1, characterized in that: In step S3, the position of the target drone at the moment when the deception of the target drone begins is recorded. This refers to the timing and location when the target drone is lured away.

4. The method for generating drone deception locations according to claim 1, characterized in that: In S4, with point Establish a northeast-oriented coordinate system with the origin as the coordinate point. In this coordinate system coordinate( )for: , , ; And point Coordinates in this coordinate system for: 。 5. The method for generating drone deception locations according to claim 1, characterized in that: In S5, the line segment and The angle between line segment and The ratio of lengths .

6. The method for generating drone deception locations according to claim 1, characterized in that: In S6, the lured location Location of the target drone The relationship is .

7. The method for generating drone deception locations according to claim 1, characterized in that: In S5, the generated induced deception space mapping model is as follows: , .

8. A drone deception location generation system, characterized in that: The system includes at least an inducement deception spatial mapping model, which acquires the location of the target UAV, sets the deception location, and specifies the timing of the deception, thereby formulating the UAV deception location generation method as described in any one of claims 1-7; It also includes a telemetry and control module, used for real-time remote control, telemetry, tracking and positioning of the UAV, as well as information transmission; The control center acquires data from the measurement and control module and transmits it to the deception spatial mapping model, providing the necessary computational data for the deception method.

9. A computer terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, it implements a method for generating drone deception locations as described in any one of claims 1-7.

10. A computer storage medium storing a computer program thereon, characterized in that: When the program is executed by the processor, it implements the method as described in any one of claims 1-7.