Intelligent unmanned aerial vehicle countering system

Abstract

The invention discloses an intelligent unmanned aerial vehicle countering system, and the system comprises an integrated bearing platform which is used for bearing a multi-source investigation sensing system and a self-adaptive phased array interference system; wherein the multi-source investigation sensing system is used for identifying illegal and legal unmanned aerial vehicles and acquiring information; the adaptive phased array interference system is used for generating intelligent electromagnetic interference beams in real time. The multi-source investigation sensing system integrates photoelectric detection equipment and frequency spectrum detection equipment, and the adaptive phased array interference system comprises an intelligent decision and control module, a microwave interference source, an active ultra-wideband digital feed network and an ultra-wideband multi-polarization phased array. The designed intelligent unmanned aerial vehicle countering system has the advantages of being high in friend or foe recognition and tracking speed and flexible and adjustable in electromagnetic interference wave beam in real time, can achieve rapid strike on single or multiple illegal unmanned aerial vehicles and illegal unmanned aerial vehicle groups in various complex environments, and meanwhile protects normal task execution of legal unmanned aerial vehicles.

Description

Technical Field

[0001] This invention relates to the field of counter-drone technology, and more specifically to an intelligent drone countermeasure system. Background Technology

[0002] With the continuous development of drone technology, issues such as unauthorized drone flights pose a significant threat to the security of important areas. To ensure low-altitude security, counter-drone technologies have emerged, among which electromagnetic interference technology has become the mainstream countermeasure due to its low cost and fast response.

[0003] However, existing electromagnetic interference counter-drone systems generally suffer from two major drawbacks: First, they are not agile, mostly relying on mechanical turntables to adjust the direction of electromagnetic interference beams, resulting in slow response speed and inability to deal with multiple or high-speed targets; second, their identification and interference strategies are crude, unable to distinguish between illegal and legal drones, and often employing indiscriminate interference, which not only easily "accidentally" damages legal drones but also easily interferes with the surrounding electromagnetic environment.

[0004] Therefore, in the increasingly complex electromagnetic environment, there is an urgent need for a new type of UAV countermeasure technology that can quickly identify and track multiple targets and carry out intelligent, selective and precise interference to meet the requirements of highly adversarial missions. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent drone countermeasure system that can identify, track, and precisely interfere with both illegal and legal drones.

[0006] To achieve the above functions, this invention designs an intelligent UAV countermeasure system, including an integrated carrier platform, a multi-source reconnaissance and perception system, and an adaptive phased array jamming system;

[0007] The multi-source reconnaissance and sensing system and the adaptive phased array jamming system are integrated into an integrated platform.

[0008] The multi-source reconnaissance and perception system is used to detect and identify illegal and legal drones, and to acquire information on the two types of drones in real time, including model information, serial number information, flight attitude, flight area, location information, spectrum information, distance information and polarization information, and transmit it to the adaptive phased array jamming system.

[0009] The adaptive phased array jamming system receives information on two types of UAVs acquired by the multi-source reconnaissance and sensing system. For illegal UAVs, it adjusts the interference power, frequency, beam state, and polarization state of the electromagnetic interference beam radiation to conduct real-time electromagnetic interference against illegal UAVs, while protecting legitimate UAVs from normal mission execution and preventing interference with equipment operating normally in other areas.

[0010] As a preferred technical solution of the present invention: the multi-source reconnaissance and perception system includes a photoelectric detection module and a spectrum detection module, which respectively acquire information on illegal and legal drones in real time based on visual photoelectric detection and electromagnetic spectrum detection methods, including model information, serial number information, flight attitude, flight area, location information, spectrum information, distance information and polarization information, and transmit them to the adaptive phased array jamming system.

[0011] As a preferred technical solution of the present invention: the adaptive phased array interference system includes an intelligent decision and control module, a microwave interference source, an active ultra-wideband digital feed network, and an ultra-wideband multi-polarization phased array antenna.

[0012] The intelligent decision-making and control module receives information on two types of drones acquired by the multi-source reconnaissance and perception system. Based on the drone's model information, flight attitude, flight area, and serial number information, it comprehensively judges and distinguishes between illegal and legal drones. Based on the position information, distance information, spectrum information, and polarization information of the two types of drones, it generates interference decision commands, including outputting interference frequency and power adjustment commands to the microwave interference source; and outputting amplitude and phase adjustment commands for each radio frequency channel to the active ultra-wideband digital feed network.

[0013] Ultra-wideband multi-polarized phased array antennas radiate the optimal electromagnetic interference beam according to interference decision commands, thereby achieving interference decision-making.

[0014] As a preferred technical solution of the present invention: the intelligent decision-making and control module integrates a comprehensive information processing and analysis algorithm and an intelligent beamforming algorithm. The comprehensive information processing and analysis algorithm is used to process and analyze two types of UAV information returned by the multi-source reconnaissance and perception system. Based on the UAV's model information, flight attitude, flight area, and serial number information, it determines legal and illegal UAVs in real time. The intelligent beamforming algorithm calculates interference decision commands in real time based on the current UAV's position information, distance information, spectrum information, and polarization information. These commands include interference frequency and power adjustment commands output to the microwave interference source, and amplitude and phase adjustment commands for each radio frequency channel output to the active ultra-wideband digital feeder network. The solution process is as follows:

[0015] Discretizing the monitoring area into point locations, the ultra-wideband multi-polarization phased array antenna at the far-field position... electric field As shown in the following formula:

[0016] ;

[0017] in, Indicates the far-field position. Let represent the complex excitation of the j-th port of the ultra-wideband multi-polarization phased array antenna. This indicates the number of ports on an ultra-wideband multi-polarization phased array antenna. and These represent the directions along the spherical coordinate system. and The unit vector of direction, and When the j-th port of the ultra-wideband multi-polarization phased array antenna is excited, the far-field position is... Along and Electric field components in two orthogonal directions;

[0018] In order to control the polarization of electromagnetic interference beams, a polarization constraint coefficient is introduced. and For far-field position Polarization is controlled by two orthogonal electric fields, as shown in the following equation:

[0019] ;

[0020] in, and Representing the far-field position Along and Polarization constraint coefficients of electric fields in two orthogonal directions;

[0021] By adjusting the polarization constraint coefficient and Further adjust the radiation direction toward the far-field position. The polarization state of the electromagnetic interference beam;

[0022] The specific control methods for electromagnetic interference beams emitted by illegal drones and null-trapped beams emitted by legitimate drones are as follows:

[0023] Based on the two types of drone information obtained by the multi-source reconnaissance and perception system, the location of illegal drones is determined. Legal drone locations Other discrete locations within the monitored area ;

[0024] Then, a ratio function is established for the electric field energy density at the location of the illegal drone, the electric field energy density at the location of the legal drone, and other discrete locations within the monitored area. :

[0025] ;

[0026] in, This represents the electric field energy density at the location of the illegal drone. This represents the electric field energy density at the location of a legally registered drone. This represents the electric field energy density at other discrete locations within the monitoring area; Assign weights to the interference energy targeting the location of the Mth illegal drone; It is the zero-trap constant factor; It is the dielectric constant; This indicates the location of the Mth illegal drone. , Total number of locations of illegal drones; This represents the number of locations of the Nth legal drone. , This represents the total number of legitimate drone locations. This represents the Qth other discrete location within the monitored area. , This represents the total number of other discrete locations within the monitored area. , , These represent the total electric fields after polarization constraints at the locations of the illegal drone, the legal drone, and other discrete locations within the monitored area, respectively.

[0027] By using a genetic algorithm to solve for the maximum value of the above equation, the optimal electromagnetic interference beam with controllable beam state and polarization state can be obtained.

[0028] As a preferred technical solution of the present invention: the electromagnetic interference beam is adaptively adjusted according to the number and location distribution of illegal drones. A single interference beam is used for a single illegal drone; for multiple illegal drones, multiple interference beams with unequal power are used according to the distance difference between the drones. Specifically, shaped interference beams, including flat-top interference beams, cosecant square interference beams, and saddle beams, are used for illegal drone swarms composed of multiple illegal drones. At the same time, the polarization state of the electromagnetic interference beam is adjusted in real time according to the polarization state of the drone antenna to achieve optimal energy interference efficiency.

[0029] Beneficial effects: Compared with the prior art, the advantages of the present invention include:

[0030] 1. This invention adopts an integrated platform design, which highly integrates the multi-source reconnaissance and sensing system and the adaptive phased array jamming system into an integrated platform. The structure is compact and can be deployed flexibly and quickly according to mission requirements.

[0031] 2. This invention has selective attack and protection capabilities. It can identify and distinguish between illegal and legal drones through a multi-source reconnaissance and perception system. The adaptive phased array jamming system can generate electromagnetic interference beams that radiate toward illegal drones and at the same time generate null-drop beams at the location of legal drones.

[0032] 3. This invention has the advantage of high intelligence. The adaptive phased array jamming system can adjust the beam state (such as single jamming beam, multi-jamming beam with distributable electromagnetic energy, null beam, shaped jamming beam, etc.) and polarization state (arbitrary linear polarization, left circular polarization, right circular polarization, etc.) in real time according to the number, position, distance, polarization and other information of the detected illegal UAV targets to achieve optimal jamming of illegal UAV targets, while protecting the normal operation of legitimate UAVs.

[0033] 4. This invention features fast response speed and strong multi-target processing capability. Based on an ultra-wideband reconnaissance and jamming system, this invention can effectively identify, track and jam multiple or clustered illegal drones, and has the ability to counter illegal drone saturation attacks. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the principle structure of an intelligent unmanned aerial vehicle (UAV) countermeasure system according to an embodiment of the present invention;

[0035] Figure 2 This is a flowchart of a countermeasure task provided according to an embodiment of the present invention;

[0036] Figure 3 This is a shaped electromagnetic interference beam pattern radiated by an anti-UAV system according to an embodiment of the present invention;

[0037] Figure 4 This is a three-dimensional power pattern of a multi-electromagnetic interference beam with adjustable multi-polarization power radiated by an anti-drone system according to an embodiment of the present invention.

[0038] Figure 5 This is a two-dimensional power pattern of interference beams with null traps radiated by an anti-drone system according to an embodiment of the present invention. Detailed Implementation

[0039] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0040] This invention provides an intelligent drone countermeasure system to identify, track, and precisely interfere with both illegal and legal drones.

[0041] To achieve the above functions, this invention designs an intelligent drone countermeasure system, referring to... Figure 1 It includes an integrated carrier platform, a multi-source reconnaissance and sensing system, and an adaptive phased array jamming system;

[0042] The multi-source reconnaissance and sensing system and the adaptive phased array jamming system are integrated into an integrated platform; the integrated platform can be flexibly placed on rooftops, cars, or intelligent robots as needed.

[0043] Reference Figure 2 The multi-source reconnaissance and perception system is used to detect and identify illegal and legal drones, and to acquire information on the two types of drones in real time, including model information, serial number information, flight attitude, flight area, location information, spectrum information, distance information and polarization information, and transmit it to the adaptive phased array jamming system.

[0044] The adaptive phased array jamming system receives information on two types of UAVs acquired by the multi-source reconnaissance and sensing system. For illegal UAVs, it adjusts the interference power, frequency, beam state, and polarization state of the electromagnetic interference beam radiation to conduct real-time electromagnetic interference against illegal UAVs, while protecting legitimate UAVs from normal mission execution and preventing interference with equipment operating normally in other areas.

[0045] The multi-source reconnaissance and perception system includes an optoelectronic detection module and a spectrum detection module, which acquire information on illegal and legal drones in real time based on visual optoelectronic detection and electromagnetic spectrum detection methods, respectively. This information includes model information, serial number information, flight attitude, flight area, location information, spectrum information, distance information, and polarization information, and is transmitted to the adaptive phased array jamming system.

[0046] Among them, the photoelectric detection module observes the flight attitude of the drone based on visual photoelectric detection methods to detect abnormal flight attitudes such as low-altitude breakout and serpentine trajectories; at the same time, the spectrum detection module listens to the electromagnetic signals of the drone based on electromagnetic spectrum detection equipment, receives information such as frequency and serial number, and determines its model and identity.

[0047] The adaptive phased array jamming system includes an intelligent decision and control module, a microwave jamming source, an active ultra-wideband digital feed network, and an ultra-wideband multi-polarization phased array antenna.

[0048] The intelligent decision-making and control module receives information on two types of drones acquired by the multi-source reconnaissance and perception system. Based on the drone's model information, flight attitude, flight area, and serial number information, it comprehensively judges and distinguishes between illegal and legal drones. In this embodiment, based on whether the drone has an illegal flight attitude (such as low-altitude penetration or serpentine trajectory) or has entered a no-fly zone, and whether the serial number is on the "whitelist," the intelligent decision-making and control module combines the flight attitude, electromagnetic signals, serial number, model, and other information detected by visual photoelectric detection and electromagnetic spectrum detection methods in the multi-source reconnaissance and perception system to comprehensively judge and distinguish between illegal and legal drones.

[0049] Based on the position, distance, spectrum, and polarization information of the two types of UAVs, the intelligent decision-making and control module generates interference decision commands, including outputting interference frequency and power control commands to the microwave interference source; and outputting amplitude and phase control commands for each radio frequency channel to the active ultra-wideband digital feeder network.

[0050] Ultra-wideband multi-polarization phased array antennas radiate the optimal electromagnetic interference beam (electromagnetic wave polarization matching, optimal interference beam shape, and highest energy utilization efficiency) according to interference decision commands, thereby achieving interference decision.

[0051] The intelligent decision-making and control module integrates a comprehensive information processing and analysis algorithm and an intelligent beamforming algorithm. The comprehensive information processing and analysis algorithm is used to process and analyze two types of UAV information returned by the multi-source reconnaissance and perception system. Based on the UAV's model information, flight attitude, flight area, and serial number information, it determines legal and illegal UAVs in real time. The intelligent beamforming algorithm calculates interference decision commands in real time based on the current UAV's position information, distance information, spectrum information, and polarization information. This includes interference frequency and power adjustment commands output to the microwave interference source, as well as amplitude and phase adjustment commands for each radio frequency channel output to the active ultra-wideband digital feed network. The solution process is as follows:

[0052] Discretizing the monitoring area into point locations, the ultra-wideband multi-polarization phased array antenna at the far-field position... electric field As shown in the following formula:

[0053] ;

[0054] in, Indicates the far-field position. Let represent the complex excitation of the j-th port of the ultra-wideband multi-polarization phased array antenna. This indicates the number of ports on an ultra-wideband multi-polarization phased array antenna. and These represent the directions along the spherical coordinate system. and The unit vector of direction, and When the j-th port of the ultra-wideband multi-polarization phased array antenna is excited, the far-field position is... Along and Electric field components in two orthogonal directions;

[0055] In order to control the polarization of electromagnetic interference beams, a polarization constraint coefficient is introduced. and For far-field position Polarization is controlled by two orthogonal electric fields, as shown in the following equation:

[0056] ;

[0057] in, and Representing the far-field position Along and Polarization constraint coefficients of electric fields in two orthogonal directions;

[0058] By adjusting the polarization constraint coefficient and The radiation direction can be arbitrarily adjusted towards the far-field position based on the UAV's polarization information. The polarization state of the electromagnetic interference beam; to achieve the optimal polarization state of the interference beam and maximize interference efficiency;

[0059] The specific control methods for electromagnetic interference beams emitted by illegal drones and null-trapped beams emitted by legitimate drones are as follows:

[0060] Based on the two types of drone information obtained by the multi-source reconnaissance and perception system, the location of illegal drones is determined. That is, the desired electromagnetic interference beam pointing position; the legal drone position. That is, the desired null beam pointing position; other discrete positions within the monitoring area. , that is, the position within the grating lobe region;

[0061] Then, a ratio function is established for the electric field energy density at the location of the illegal drone, the electric field energy density at the location of the legal drone, and other discrete locations within the monitored area. :

[0062] ;

[0063] in, This represents the electric field energy density at the location of the illegal drone. This represents the electric field energy density at the location of a legally registered drone. This represents the electric field energy density at other discrete locations within the monitoring area; To assign interference energy weights to the location of the Mth illegal drone, electromagnetic interference energy can be dynamically allocated by adjusting the interference energy allocation weights based on information such as the distance of different illegal drones. It is the zero-trap constant factor; The dielectric constant is used to create a null trap at the location of a legitimate drone, thus avoiding electromagnetic interference to the legitimate drone. This indicates the location of the Mth illegal drone. , Total number of locations of illegal drones; This represents the number of locations of the Nth legal drone. , This represents the total number of legitimate drone locations. This represents the other discrete locations within the Q-th monitoring area. , This represents the total number of other discrete locations within the monitored area. , , These represent the total electric fields after polarization constraints at the locations of the illegal drone, the legal drone, and other discrete locations within the monitored area, respectively.

[0064] The optimal electromagnetic interference beam with controllable beam state and polarization state is obtained by solving the above formula using a genetic algorithm. In the embodiment, an existing optimization algorithm is used to solve the problem and obtain the optimal excitation distribution with controllable beam state and polarization state. This results in maximum electromagnetic interference energy at the location of illegal UAVs (electromagnetic interference beam) and minimum electromagnetic interference energy at the location of legal UAVs (null beam). At the same time, electromagnetic interference energy leaking in other airspaces is also suppressed, avoiding interference with other equipment.

[0065] The intelligent drone countermeasure system designed in this invention can adaptively adjust the electromagnetic interference beam according to the number and location distribution of illegal drones. A single interference beam is used for a single illegal drone; for multiple illegal drones, multiple interference beams with unequal power are used according to the distance differences between the drones. Specifically, shaped interference beams, including flat-top interference beams, cosecant square interference beams, and saddle beams, are used for illegal drone swarms composed of multiple illegal drones. At the same time, the polarization state of the electromagnetic interference beam is adjusted in real time according to the polarization state of the drone antenna to achieve optimal energy interference efficiency.

[0066] The intelligent drone countermeasure system designed in this invention can cover all frequency bands used by drones with only one phased array jamming system, without the need for multiple countermeasure devices. It can adaptively adjust the polarization of the radiated electromagnetic interference beam according to the polarization information of the illegal drone antenna to achieve the maximum jamming effect. Furthermore, it can adaptively adjust the effective jamming power of each electromagnetic interference beam according to the location and distance information of the illegal drone.

[0067] Based on the intelligent drone countermeasure system designed according to this invention, in application embodiment one, the system is set to operate in the commonly used control and image transmission frequency band of drones (2.4 GHz). Based on the countermeasure capability of the anti-drone system against drone swarms, a square flat-top jamming beam covering the airspace with a pitch angle of ±30° is designed;

[0068] The beam pattern of the square flat-top electromagnetic interference emitted by the anti-drone system is as follows: Figure 3 As shown, Figure 3This invention demonstrates that an intelligent drone countermeasure system can directly interfere with illegal drone swarms.

[0069] In the second application embodiment, the system is set to operate in the commonly used control and image transmission frequency band for UAVs (2.4 GHz). Based on the anti-UAV system's ability to counter multiple UAVs at different distances and locations with multi-polarization, a multi-electromagnetic interference beam experiment with multi-polarization electromagnetic energy allocation is designed;

[0070] The three-dimensional power pattern of the multi-electromagnetic interference beams radiated by the anti-drone system, exhibiting unequal power with multiple polarizations (left-hand circular polarization, linear polarization, and right-hand circular polarization), is shown below. Figure 4 As shown, Figure 4 The present invention demonstrates an intelligent drone countermeasure system that can adjust the polarization, energy, and direction of the jamming beam to efficiently interfere with illegal drones.

[0071] In application embodiment three, the system is set to operate in the frequency band commonly used by UAVs for image transmission and control links (5.8 GHz). Based on the anti-UAV system's ability to simultaneously and accurately jam illegal UAVs and protect legitimate UAVs, a single-beam scanning jamming experiment with zero traps is designed;

[0072] The two-dimensional power pattern of the interference beam with null radiated by the anti-drone system is shown in the figure. Figure 5 As shown, Figure 5 The jamming beam of the anti-drone system can be dynamically adjusted to continuously interfere with illegal drones, while simultaneously targeting legitimate drones to ensure that legitimate drones can perform their missions normally.

[0073] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. A smart drone countermeasure system, characterized in that, This includes an integrated platform, a multi-source reconnaissance and sensing system, and an adaptive phased array jamming system; The multi-source reconnaissance and sensing system and the adaptive phased array jamming system are integrated into an integrated platform. The multi-source reconnaissance and perception system is used to detect and identify illegal and legal drones, and to acquire information on the two types of drones in real time, including model information, serial number information, flight attitude, flight area, location information, spectrum information, distance information and polarization information, and transmit it to the adaptive phased array jamming system. The adaptive phased array jamming system receives information on two types of UAVs acquired by the multi-source reconnaissance and sensing system. For illegal UAVs, it adjusts the interference power, frequency, beam state, and polarization state of the electromagnetic interference beam radiation to conduct real-time electromagnetic interference against illegal UAVs, while protecting legitimate UAVs from normal mission execution and preventing interference with equipment operating normally in other areas.

2. The intelligent unmanned aerial vehicle (UAV) countermeasure system according to claim 1, characterized in that, The multi-source reconnaissance and perception system includes an optoelectronic detection module and a spectrum detection module, which acquire information on illegal and legal drones in real time based on visual optoelectronic detection and electromagnetic spectrum detection methods, respectively. This information includes model information, serial number information, flight attitude, flight area, location information, spectrum information, distance information, and polarization information, and is transmitted to the adaptive phased array jamming system.

3. The intelligent unmanned aerial vehicle (UAV) countermeasure system according to claim 2, characterized in that, The adaptive phased array jamming system includes an intelligent decision and control module, a microwave jamming source, an active ultra-wideband digital feed network, and an ultra-wideband multi-polarization phased array antenna. The intelligent decision-making and control module receives information on two types of drones acquired by the multi-source reconnaissance and perception system. Based on the drone's model information, flight attitude, flight area, and serial number information, it comprehensively judges and distinguishes between illegal and legal drones. Based on the position information, distance information, spectrum information, and polarization information of the two types of drones, it generates interference decision commands, including outputting interference frequency and power adjustment commands to the microwave interference source; and outputting amplitude and phase adjustment commands for each radio frequency channel to the active ultra-wideband digital feed network. Ultra-wideband multi-polarized phased array antennas radiate the optimal electromagnetic interference beam according to interference decision commands, thereby achieving interference decision-making.

4. The intelligent unmanned aerial vehicle (UAV) countermeasure system according to claim 3, characterized in that, The intelligent decision-making and control module integrates a comprehensive information processing and analysis algorithm and an intelligent beamforming algorithm. The comprehensive information processing and analysis algorithm is used to process and analyze two types of UAV information returned by the multi-source reconnaissance and perception system. Based on the UAV's model information, flight attitude, flight area, and serial number information, it determines legal and illegal UAVs in real time. The intelligent beamforming algorithm calculates interference decision commands in real time based on the current UAV's position information, distance information, spectrum information, and polarization information. This includes interference frequency and power adjustment commands output to the microwave interference source, as well as amplitude and phase adjustment commands for each radio frequency channel output to the active ultra-wideband digital feed network. The solution process is as follows: Discretizing the monitoring area into point locations, the ultra-wideband multi-polarization phased array antenna at the far-field position... electric field As shown in the following formula: ； in, Indicates the far-field position. Let represent the complex excitation of the j-th port of the ultra-wideband multi-polarization phased array antenna. This indicates the number of ports on an ultra-wideband multi-polarization phased array antenna. and These represent the directions along the spherical coordinate system. and The unit vector of direction, and When the j-th port of the ultra-wideband multi-polarization phased array antenna is excited, the far-field position is... Along and Electric field components in two orthogonal directions; In order to control the polarization of electromagnetic interference beams, a polarization constraint coefficient is introduced. and For far-field position Polarization is controlled by two orthogonal electric fields, as shown in the following equation: ； in, and Representing the far-field position Along and Polarization constraint coefficients of electric fields in two orthogonal directions; By adjusting the polarization constraint coefficient and Further adjust the radiation direction toward the far-field position. The polarization state of the electromagnetic interference beam; The specific control methods for electromagnetic interference beams emitted by illegal drones and null-trapped beams emitted by legitimate drones are as follows: Based on the two types of drone information obtained by the multi-source reconnaissance and perception system, the location of illegal drones is determined. Legal drone locations Other discrete locations within the monitored area ; Then, a ratio function is established for the electric field energy density at the location of the illegal drone, the electric field energy density at the location of the legal drone, and other discrete locations within the monitored area. : ； in, This represents the electric field energy density at the location of the illegal drone. This represents the electric field energy density at the location of a legally registered drone. This represents the electric field energy density at other discrete locations within the monitoring area; Assign weights to the interference energy targeting the location of the Mth illegal drone; It is the zero-trap constant factor; It is the dielectric constant; This indicates the location of the Mth illegal drone. , Total number of locations of illegal drones; This represents the location of the Nth legal drone. , This represents the total number of legitimate drone locations. This represents the Qth other discrete location within the monitored area. , This represents the total number of other discrete locations within the monitored area. , , These represent the total electric fields after polarization constraints at the locations of the illegal drone, the legal drone, and other discrete locations within the monitored area, respectively. By using a genetic algorithm to solve for the maximum value of the above equation, the optimal electromagnetic interference beam with controllable beam state and polarization state can be obtained.

5. The intelligent unmanned aerial vehicle (UAV) countermeasure system according to claim 4, characterized in that, Based on the number and location distribution of illegal drones, the electromagnetic interference beam is adaptively adjusted. A single interference beam is used for a single illegal drone; for multiple illegal drones, multiple interference beams with unequal power are used according to the distance differences between the drones. Specifically, shaped interference beams, including flat-top interference beams, cosecant square interference beams, and saddle beams, are used for illegal drone swarms composed of multiple illegal drones. At the same time, the polarization state of the electromagnetic interference beam is adjusted in real time according to the polarization state of the drone antenna to achieve optimal energy interference efficiency.

Images