Unmanned aerial vehicle countering system

Abstract

The utility model discloses an unmanned aerial vehicle countering system, and a countering method comprises the steps: monitoring an unmanned aerial vehicle in an airspace in real time, judging whether the unmanned aerial vehicle is a to-be-countered unmanned aerial vehicle or not, and determining the unmanned aerial vehicle which is judged to be the to-be-countered unmanned aerial vehicle as a target unmanned aerial vehicle; and transmitting a countering signal to the direction of the target unmanned aerial vehicle, generating an identification code when the countering signal is transmitted, associating the identification code with the countering signal to form a countering signal associated with the identification code, and countering the target unmanned aerial vehicle. According to the unmanned aerial vehicle countering device, the unique identification code is associated with the countering signal, and the countering operation detailed information related to the unique identification code is recorded, so that the problems of the existing unmanned aerial vehicle countering device in the aspects of management and traceability are solved, the subsequent accurate management and responsibility traceability of the countering operation are facilitated, and by analyzing the identification code, the countering operation can be accurately managed. Therefore, detailed conditions such as specific time and place of each countering operation and which countering device executes each countering operation can be clearly traced back, and the accuracy and convenience of information traceability are greatly improved.

Description

Technical Field

[0001] This utility model relates to the field of unmanned aerial vehicle (UAV) control technology, specifically a UAV countermeasure system. Background Technology

[0002] In today's era of rapid technological advancement, drones, with their flexibility and versatility, are widely used in numerous fields, from aerial filming and logistics delivery to agricultural plant protection and geographic surveying. As drone technology develops, their applications are expanding, bringing convenience but also creating security risks and privacy issues such as intrusion into no-fly zones, threats to public safety, privacy, and critical infrastructure. To address illegal or dangerous drone activities, drone countermeasures have become a necessary measure. However, existing countermeasures equipment has deficiencies in management and tracking, failing to effectively record and trace countermeasure operations, posing challenges to subsequent liability determination and management. Utility Model Content

[0003] The purpose of this invention is to provide a drone countermeasure system to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, this utility model provides the following technical solution:

[0005] A drone countermeasure system includes a detection module, a control module, a countermeasure device, and an encoding module. The detection module monitors drones in the airspace in real time and identifies drones deemed to be subject to countermeasure as target drones. The countermeasure device is signal-connected to the control module and generates a corresponding countermeasure signal against the target drone according to instructions from the control module. The encoding module is signal-connected to the control module and generates a corresponding identification code for the countermeasure signal according to instructions from the control module. The control module associates the identification code with the countermeasure signal and controls the countermeasure device to transmit the countermeasure signal associated with the identification code towards the target drone, thereby countermeasures the target drone.

[0006] Furthermore, it also includes a recording module, which is signal-connected to the control module.

[0007] Furthermore, the recording module records one or more of the following: countermeasure time, countermeasure location, characteristic information of the target UAV, operating parameters of the countermeasure equipment, and countermeasure methods.

[0008] Furthermore, the encoding module includes a random number generator and an encoding unit. The random number generator is used to generate an original random number sequence, and the encoding unit is used to encode the original random number sequence to form an identification code.

[0009] Furthermore, the encoding module includes an RF encoder, which is connected to the countermeasure device for signal transmission.

[0010] Compared with the prior art, the beneficial effects of this utility model are as follows: This utility model solves the problems of management and traceability of existing UAV countermeasure equipment by associating a unique identification code with the countermeasure signal and recording the relevant detailed information of the countermeasure operation. This facilitates the accurate management and accountability of the countermeasure operation. By parsing the identification code, the specific time, location and which countermeasure equipment performed each countermeasure operation can be clearly traced back, which greatly improves the accuracy and convenience of information traceability. Attached Figure Description

[0011] Figure 1 This is a structural block diagram of the UAV countermeasure processing system of this utility model. Detailed Implementation

[0012] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0013] like Figure 1 As shown, this embodiment provides a drone countermeasure system. The system includes a detection module 1, a control module 2, a countermeasure device 3, an encoding module 4, and a recording module 5. In this embodiment, the control module 2 has a remote communication function and supports communication with the detection module 1, the countermeasure device 3, the encoding module 4, the recording module 5, and the remote command center via a 4G / 5G network or satellite communication link to achieve real-time data interaction.

[0014] The detection module 1 is used to monitor drones in the airspace in real time. For example, it uses a radar system to monitor drones in the airspace in real time, and detects information such as the drone's position, speed, and direction by transmitting and receiving radio waves. It uses a camera or infrared sensor to perform image recognition on drones in the airspace to identify the type and characteristics of drones. It uses radio frequency monitoring equipment to detect the drone's communication frequency, communication protocol, and signal strength. It detects the signal characteristics of drones by analyzing their communication spectrum, determines their type and identity by identifying the communication protocol used by the drone, and judges the drone's activity status by changes in signal strength. It matches the detected drone characteristics with known legitimate drone characteristics. If the match fails or abnormal characteristics are found, it is determined to be a drone to be countered. It analyzes the drone's behavior patterns, such as flight path, speed, and altitude, to determine whether it is a suspicious or illegal drone. The drone determined to be countered is identified as the target drone.

[0015] The countermeasure device 3 is signal-connected to the control module 2 and is used to generate corresponding countermeasure signals against the target drone according to the instructions of the control module 2. For example, the countermeasure signal is an interference signal, which can be transmitted by a radio frequency jammer to block the drone's remote control signal, image transmission signal, or GPS signal, and can interfere with the drone at a relatively long distance. For example, the countermeasure signal is a deception signal, which can be transmitted by a GPS jammer to interfere with the drone's GPS signal, making it unable to obtain accurate location information, causing the drone to return or make an emergency landing due to loss of positioning ability. A GPS deception transmitter can transmit false GPS signals to induce the drone to fly to the wrong location, and can achieve deception at a relatively long distance. An inertial navigation jammer can transmit interference signals to interfere with the drone's inertial navigation system (such as gyroscope and accelerometer), making it unable to correctly judge its flight status. For example, the countermeasure signal is a capture signal, which can be used to capture the drone with net bullets or net guns, forcing it to fall, and can directly control the drone to avoid secondary interference. A laser beam can be used to irradiate the drone's propeller or other key parts to make it lose power, and can accurately strike the target. For example, a countermeasure signal can be a forced landing signal. For instance, a remote control signal intrusion device can be used to intrude into the drone's remote control system, forcing it to perform a forced landing or return operation. Alternatively, a signal hijacking device can be used to hijack the drone's control signals and take over control of the drone. Another countermeasure signal can be an attack signal. A laser attack system can use a high-energy laser beam to directly destroy critical parts of the drone (such as batteries, circuit boards, etc.). An electron pulse transmitter can emit high-energy electron pulses to burn out the drone's electronic components. Countermeasure signals can also be a combination of multiple signals, selected based on the type and behavior of the drone.

[0016] The encoding module 4 is used to generate a corresponding identification code for the countermeasure signal according to the instructions of the control module 2.

[0017] For example, such as Figure 1 As shown, the encoding module 4 includes a random number generator 41 and an encoding unit 42. The random number generator 41 works in conjunction with the hardware clock signal according to a specific mathematical algorithm. With the help of a pseudo-random number generation algorithm, it uses the real-time clock pulse of the device hardware as the seed value to continuously generate a string of original random numbers of length [X] bits (such as 128 bits). The encoding unit 42 encrypts and encodes the collected original random number sequence to form an identification code.

[0018] For example, the encoding module 4 includes an RF encoder with pre-set encoding rules. When a trigger signal is received, it emits an RF signal carrying an identification code according to the rules. The RF encoder is signal-connected to the countermeasure device 3. When the countermeasure device 3 emits a countermeasure signal, it triggers the RF encoder to emit an RF signal carrying an identification code. It can use Nordic Semiconductor nRF series civilian-grade industrial RF encoders or Honeywell RF encoders, etc. Nordic's nRF series chips, such as the nRF52832, feature low power consumption and high performance, and can be used for wireless RF communication. It can encode data to generate specific RF signals as identification codes. It supports multiple communication protocols, such as Bluetooth Low Energy, facilitating data interaction with other devices. Honeywell RF encoders have high stability and reliability, and can generate complex and secure identification codes. It has multiple interfaces and communication methods, facilitating integration with other devices.

[0019] The control module 2 is used to associate the identification code with the countermeasure signal. For example, it marks the identification code and the countermeasure signal with an association tag and controls the countermeasure device 3 to transmit the countermeasure signal associated with the identification code towards the target drone to counter the target drone. The countermeasure device 3 has a transmission module and a built-in intelligent frequency band identification and switching system and a power dynamic control system. The frequency band identification and switching system monitors the signal frequency bands of drones in the surrounding airspace in real time. Once a target drone is detected, it immediately performs spectrum analysis on the signal to identify the specific frequency band to which it belongs. For example, if a target drone is detected to be communicating in the 2.4GHz frequency band, the intelligent frequency band identification and switching system quickly switches the operating frequency band of the signal transmission module to a countermeasure frequency band effective for that frequency band, such as the corresponding interference frequency band. This ensures that the subsequently transmitted countermeasure signal can accurately act on the target drone, achieving efficient interference or blocking of its communication link, thereby maximizing the countermeasure success rate. The power dynamic control function works based on preset rules and real-time environmental information. By interacting with the positioning module and surrounding environmental monitoring sensors (such as personnel density sensors and geographic information sensors), the system determines the type of countermeasure scenario. For example, when in a densely populated urban area, the sensors report a high personnel density, and the area is near a no-fly zone containing sensitive facilities such as hospitals and schools. In this case, the power dynamic control module automatically reduces the transmission power of the signal transmission module according to the built-in algorithm, keeping the countermeasure signal strength within a reasonable range that effectively counters illegal drones without causing electromagnetic interference to other electronic devices such as mobile phones, computers, and medical equipment, while ensuring the health and safety of personnel. In open, remote outdoor work areas, if a long-distance, highly maneuverable illegal drone is detected, the system will comprehensively consider factors such as the distance between the target drone and the countermeasure device, and the target's flight speed. Through power calculation formulas and power amplification circuits, the system will quickly increase the transmission power to ensure that the countermeasure signal can cover the airspace where the target is located, achieving an effective countermeasure effect and ensuring comprehensive coverage of the countermeasure operation.

[0020] The recording module 5 is connected to the control module 2 by signal. It classifies and stores all data generated during this countermeasure process, including identification code, countermeasure time, countermeasure location, detailed characteristic information of the countermeasured drone, and operating parameters of the countermeasure equipment, such as transmission direction, transmission power, transmission frequency, and transmission bandwidth. It can also be backed up to the cloud server simultaneously.

[0021] In practical use, a radar system is used to monitor drones in the airspace in real time. By transmitting and receiving radio waves, information such as the drone's position, speed, and direction is detected. Cameras or infrared sensors are used to perform image recognition of drones in the airspace to identify the type and characteristics of the drones. Radio frequency monitoring equipment is used to detect the drone's communication frequency, communication protocol, and signal strength. By analyzing the drone's communication spectrum, its signal characteristics are detected. By identifying the communication protocol used by the drone, its type and identity are determined. By observing changes in signal strength, the activity status of the drone is determined. The detected drone characteristics are matched with the characteristics of known legitimate drones. If the match fails or abnormal characteristics are found, the drone is identified as a target drone. The drone's behavior patterns, such as flight path, speed, and altitude, are analyzed to determine whether it is a suspicious or illegal drone. Drones identified as targets are designated as the target drones.

[0022] A countermeasure signal is emitted in the direction of the target drone. When emitting the countermeasure signal, an identification code is generated.

[0023] For example, a random number generator works in conjunction with a hardware clock signal based on a specific mathematical algorithm. Using a pseudo-random number generation algorithm and the real-time clock pulse of the device hardware as a seed value, it continuously iterates to generate a sequence of original random numbers of length [X] bits (e.g., 128 bits), such as generating the random number "10110011...". The encoding unit uses a hash function to encrypt the collected original random number sequence to obtain a hash value. For example, this embodiment uses SHA-256 for encryption conversion. The hash function, with its one-way characteristic, irreversibly maps the original random number sequence into a fixed-length (256-bit) hash value through complex mathematical transformations. It has extremely high uniqueness and collision resistance. Even slight changes in the input data will cause drastic changes in the hash value, thus building a strong security defense for data encryption. The random number "10110011..." is processed by multiple rounds of compression functions inside the SHA-256 function, outputting a hash value "a1b2c3d4e5f6..." with extremely high randomness, uniqueness, and collision resistance, which serves as an identification code.

[0024] For example, the radio frequency encoder 43 has a pre-set encoding rule. When a trigger signal is received, it emits a radio frequency signal carrying an identification code according to the rule. The radio frequency encoder 43 is signal-connected to the countermeasure device 3. When the countermeasure device 3 emits a countermeasure signal, it triggers the radio frequency encoder 43 to emit a radio frequency signal carrying an identification code.

[0025] The control module 2 is used to associate the identification code with the countermeasure signal. For example, it marks the identification code and the countermeasure signal with an association mark and controls the countermeasure device 3 to send the countermeasure signal associated with the identification code in the direction of the target drone to countermeasure the target drone.

[0026] For example, when a drone is detected entering restricted areas without authorization, such as the airspace surrounding sensitive locations like airports, military bases, or government offices, countermeasures equipment emits high-intensity radio frequency interference signals. These signals typically cover the communication frequency bands commonly used by drones, such as the 2.4GHz and 5.8GHz bands. The signal modulation method can employ frequency sweeping interference, which involves rapidly scanning within a certain frequency range and speed, constantly changing the frequency of the interference signal to make it difficult for the drone to establish a stable communication link. For instance, within the 2.4GHz band, frequency sweeping interference is performed from 2.400GHz to 2.4835GHz at a rate of 100 times per second, causing the drone to receive chaotic signals and be unable to properly receive and execute operator commands. Furthermore, the countermeasures equipment intelligently adjusts its transmission power based on the distance between the drone and the countermeasures equipment. When the drone is close, such as within 100 meters, the countermeasures device can appropriately reduce its transmission power to avoid excessive interference with other legitimate electronic devices in the vicinity. If the drone is far away, reaching 1,000 meters or even further, the countermeasures device will increase its transmission power to ensure that the interference signal can effectively cover the drone and block its communication.

[0027] For example, when a target drone is determined to be engaging in malicious behavior, such as carrying dangerous items or conducting espionage, the countermeasure device emits a high-precision deception signal. This deception signal simulates the normal communication protocol between the drone and its remote controller, forging control commands to make the drone fly or land along a preset safe path. For instance, the countermeasure device sends a specific landing command, causing the drone to land in a safe area to prevent it from continuing its malicious mission. The frequency and modulation method of the deception signal are highly matched to the drone's normal communication signal, making it highly targeted and covert. Simultaneously with emitting the deception signal, the countermeasure device employs certain interference strategies to ensure the deception signal is successfully received by the drone. For example, at the instant the drone receives the deception signal, a short, high-intensity interference pulse is emitted to suppress the erroneous signal originally received by the drone, making the deception signal easier to identify and execute. Alternatively, when the drone exhibits abnormal flight behavior, such as loss of control or abnormal flight trajectory, the countermeasure device emits an emergency countermeasure signal. This signal is typically emitted in a wide-bandwidth, high-power manner to quickly cut off the drone's power supply or communication link. For example, a strong interference signal covering the drone's power system control frequency is emitted, causing the drone's motors to stop operating and forcing it to land safely. The signal waveform can be pulsed, interfering with the drone's electronic equipment through instantaneous high-energy impacts;

[0028] For example, when abnormal flight of a target drone is detected, the law enforcement equipment will also form a linkage mechanism with other nearby countermeasures equipment or monitoring systems. Multiple countermeasures devices will simultaneously emit countermeasure signals to interfere with the drone from different directions and angles, increasing the success rate of countermeasures. At the same time, the monitoring module will track the position and status of the target drone in real time, providing accurate target information to the countermeasures equipment and ensuring that the countermeasure signals can accurately hit the drone.

[0029] For example, in temporarily designated no-fly zones, such as those around large events or critical infrastructure, if a drone intrudes, the countermeasure device will emit a protocol-based blocking signal. It deeply analyzes the drone's communication protocol and targets and interferes with key control command transmissions. For instance, for the command frame structure responsible for controlling flight direction and altitude in common drone communication protocols, the countermeasure device sends specific interference data frames. These data frames have a similar format to normal command frames, but their content is incorrect or invalid. By sending a large number of such interference frames, errors occur when the drone's receiver parses the commands, preventing it from performing normal flight operations. Simultaneously, the countermeasure device adjusts its signal coverage strategy based on the no-fly zone's area and terrain characteristics. In open areas like plazas, an omnidirectional antenna is used to evenly distribute the countermeasure signal in all directions; while in complex mountainous areas or areas with many buildings obstructing the view, a directional antenna may be used to concentrate the signal in the direction the drone is likely to appear, while utilizing signal reflection and diffraction principles to maximize signal coverage and effectively prevent drones from flying within the no-fly zone.

[0030] The recording module categorizes and stores all data generated during this countermeasure process, including identification codes, countermeasure time, countermeasure location, detailed characteristic information of the countermeasured drone, and operating parameters of the countermeasure equipment, such as transmission direction, transmission power, transmission frequency, and transmission bandwidth. It can also be synchronously backed up to the cloud server.

[0031] This invention solves the management and traceability problems of existing drone countermeasure equipment by associating a unique identification code with the countermeasure signal and recording detailed information about the countermeasure operation. This facilitates precise management and accountability for subsequent countermeasure operations. By deeply integrating various key information, the generated identification code contains rich information and is highly secure, providing comprehensive support for the traceability and refined management of complex countermeasure operations. It has significant advantages in dealing with the increasingly complex phenomenon of unauthorized drone flights and meeting strict regulatory requirements. By parsing this identification code, the specific time, location, and which countermeasure device performed each countermeasure operation can be clearly traced back, greatly improving the accuracy and convenience of information traceability.

[0032] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A drone countermeasure system, characterized in that: The system includes a detection module, a control module, a countermeasure device, and an encoding module. The detection module monitors UAVs in the airspace in real time and identifies UAVs deemed to be subject to countermeasure as target UAVs. The countermeasure device is signal-connected to the control module and generates corresponding countermeasure signals against the target UAVs according to the instructions of the control module. The encoding module is signal-connected to the control module and generates a corresponding identification code for the countermeasure signal according to the instructions of the control module. The control module associates the identification code with the countermeasure signal and controls the countermeasure device to transmit the countermeasure signal associated with the identification code towards the target UAV, thereby countermeasures the target UAV.

2. The UAV countermeasure system according to claim 1, characterized in that: It also includes a recording module, which is signal-connected to the control module.

3. The UAV countermeasure system according to claim 2, characterized in that: The recording module records one or more of the following: countermeasure time, countermeasure location, characteristic information of the target UAV, operating parameters of the countermeasure equipment, and countermeasure methods.

4. The UAV countermeasure system according to claim 1, characterized in that: The encoding module includes a random number generator and an encoding unit. The random number generator is used to generate an original random number sequence, and the encoding unit is used to encode the original random number sequence to form an identification code.

5. The anti-drone system according to claim 1, characterized in that: The encoding module includes an RF encoder, which is connected to the countermeasure device for signal transmission.

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