1004results about "Defence devices" patented technology

The invention provides a directional energy multi-target interference system based on an ultra-wideband phased array technology, and the system integrates signal perception, target recognition, interference signal generation and phased array control, so as to achieve the precise interference of an unmanned aerial vehicle cluster. The signal sensing module scans an airspace target through the ultra-wideband phased-array antenna array and obtains spectrum characteristics of a target signal. The target identification module analyzes signal features, identifies an individual target and predicts a motion track and a communication protocol of the individual target. And the phased array control module calculates and adjusts antenna beam forming parameters, and dynamically controls the radiation direction, phase and transmitting power of the antenna. The interference signal generation module generates a matched interference waveform based on the target communication protocol and the trajectory information. The ultra-wideband phased-array antenna array adopts a digital beam forming technology. According to the invention, efficient and accurate directional energy interference can be realized under multiple frequency bands, the confrontation capability of the unmanned aerial vehicle cluster is improved, and the method is suitable for defense tasks in electronic warfare and complex electromagnetic environments.

The invention discloses a region denial method and system for an unmanned aerial vehicle. Precise defense is realized through a four-stage cooperation mechanism. The method comprises the following steps: S1, a multi-source detection stage; s2, an intelligent identification stage; s3, a dynamic response stage; and S4, a closed loop feedback stage. The system architecture comprises a control center, a composite detection array, an intelligent analysis engine and a multi-mode countering unit, and a complete automatic link from situation awareness to effect execution is formed. Through cooperation of soft and hard killing means, detection and recognition integrated design and an intelligent decision engine, the unmanned aerial vehicle interception efficiency in a complex electromagnetic environment is remarkably improved, an echelon defense system covering electron suppression to precise destroy is constructed, and the method is particularly suitable for important place protection, city security and other high-value target protection scenes.

The invention discloses an unmanned aerial vehicle intrusion real-time alarm and countering guidance system based on RID information. The system comprises a multi-source information acquisition and fusion module, an intrusion detection and threat evaluation module, a real-time alarm and countering strategy generation module, a feedback evaluation and strategy iteration module, a signal loss prediction and compensation module, a comprehensive processing terminal module and the like. The system establishes a three-dimensional geofence model by analyzing remote identification information of the unmanned aerial vehicle and fusing radar, photoelectric, electromagnetic and other multi-source data, and performs dynamic judgment and multi-factor threat grading on a target intrusion state. Multi-mode alarm is automatically triggered according to the threat level, and a hierarchical countering scheme from broadcast alarm and electromagnetic interference to physical capture is generated; and when the RID signal is lost, the system realizes continuous tracking and state recovery of the target by using a motion prediction and probability association algorithm.

The invention provides an unmanned aerial vehicle intrusion real-time interception method and system based on an airspace electronic fence. The method comprises the steps of firstly obtaining real-time flight monitoring data of an unmanned aerial vehicle in a target airspace, then analyzing predefined airspace electronic fence configuration information to generate a virtual boundary constraint set, and then combining three-dimensional space coordinates and the virtual boundary constraint set to judge whether the unmanned aerial vehicle invades a no-fly zone or not. When it is judged that the unmanned aerial vehicle invades the no-fly zone, a collaborative interception instruction sequence is generated, finally, the collaborative interception instruction sequence is sent to the unmanned aerial vehicle through a radio frequency communication link, the unmanned aerial vehicle is driven to execute flight path correction, and real-time interception of the unmanned aerial vehicle is completed; according to the technical scheme, the real-time performance and safety of sensitive airspace protection are improved, meanwhile, the risk of mistakenly intercepting legal aircrafts is avoided, and non-lethal precise expelling is completed on the premise of completely eradicating the crash risk.

The invention provides an unmanned aerial vehicle navigation signal interference method and system based on an electromagnetic shielding array. According to the method, firstly, a navigation signal sent by a target unmanned aerial vehicle is monitored, positioning information transmission characteristics in the navigation signal are identified, then a periodic dynamic interference mode synchronous with a navigation signal transmission period is generated according to the positioning information transmission characteristics, and then, through spatial gradient barrier distribution of an electromagnetic shielding array, a dynamic interference mode is generated. Converting the periodic dynamic interference mode into directional space interference energy, and finally controlling the directional space interference energy to be continuously applied to a navigation signal receiving path of the unmanned aerial vehicle so as to complete navigation signal interference of the unmanned aerial vehicle. According to the technical scheme provided by the invention, a frequency hopping anti-interference mechanism of the unmanned aerial vehicle is effectively cracked, invalid energy consumption is remarkably reduced, the interference efficiency is improved, and error interference on non-target equipment is avoided.

The invention discloses an intelligent generation method and device for an unmanned aerial vehicle countering strategy, relates to the technical field of unmanned aerial vehicles, and aims to solve the problems of poor countering means matching effect and low efficiency caused by limited applicable scenes, lack of deep semantic support and single means of unmanned aerial vehicle countering in the prior art. The method comprises the following steps: acquiring multi-source sensor data of a target area, and determining environment information of the target area and situation type information of a suspicious unmanned aerial vehicle; extracting to-be-matched features corresponding to the situation type information from the multi-source sensor data, performing similarity matching on the to-be-matched features and the features of the multiple target matching entity nodes, and determining a matching result; based on the matching result and the environment information, obtaining at least one countering means from the unmanned aerial vehicle countering knowledge graph and generating an initial countering strategy set; and processing the initial countering strategy set by adopting a target optimization algorithm to obtain a target countering strategy. The method is used for improving the matching precision and the matching efficiency of the unmanned aerial vehicle countering technology.

The invention relates to the technical field of unmanned aerial vehicle countering, and discloses an unmanned aerial vehicle intercepting method and system. According to the method, first flight information and target point cloud data obtained by a target radar are analyzed through a target control end, target appearance information and a gravity center position of an incoming attack target are obtained, and the number of first unmanned aerial vehicles required for damaging the incoming attack target is determined according to the target appearance information. And the ground end determines the number of second unmanned aerial vehicles required for interception and the array type according to the target appearance information, predicts the air interception time and the air interception position according to the first flight information, and sends the information to the unmanned aerial vehicle swarm. The unmanned aerial vehicle swarm forms a flight plane according to the air interception position and a rectangular grid, an electromagnetic wave defense net is formed to capture second flight information of the incoming target, target unmanned aerial vehicles actually intercepted are determined according to the second flight information and the number of the second unmanned aerial vehicles, and self-explosion unmanned aerial vehicles are determined in combination with the number of the first unmanned aerial vehicles; and high-precision interception and self-explosion damage of an incoming target are realized.

The invention discloses a tilting quad-rotor unmanned aerial vehicle and an unmanned aerial vehicle countering system, and the system comprises a flight control module which is used for controlling the tilting quad-rotor unmanned aerial vehicle to fly towards a target unmanned aerial vehicle, and adjusting the flight mode and the flight speed of the tilting quad-rotor unmanned aerial vehicle in real time according to the distance and the speed difference in the flight process. The target identification module is used for collecting video stream information of a target airspace and detecting whether a target unmanned aerial vehicle exists in the video stream information frame by frame; the target tracking module is used for determining the distance and the speed difference between the target unmanned aerial vehicle and the tilt quad-rotor unmanned aerial vehicle under the condition that the target unmanned aerial vehicle exists in the video stream information; and the net gun capturing module is used for calculating a launching parameter of a capturing net when the distance between the target unmanned aerial vehicle and the tilt quadrotor unmanned aerial vehicle is smaller than a preset distance, and launching the capturing net to the target unmanned aerial vehicle according to the launching parameter. According to the scheme, the unmanned aerial vehicle can be precisely countered.

The invention discloses a pneumatic anti-unmanned aerial vehicle interception net launching device, and belongs to the technical field of low slow small unmanned aerial vehicle target countering. The pneumatic type anti-unmanned aerial vehicle interception net launching device comprises a percussion unit, the percussion unit comprises a percussion pipe, an adapter and an impact block, an air storage cavity is formed in the percussion pipe, the adapter is connected with the first end of the percussion pipe, a firing pin is arranged in the adapter in a sliding mode, and a vent hole communicated with the air storage cavity is formed in the side wall of the adapter; the impact block is arranged in the percussion pipe; the power unit comprises a container, and one end, with a to-be-punctured layer, of the container is detachably connected with the adapter; the intercepting unit comprises an intercepting pipe with a storage cavity and a launching cavity, the intercepting pipe is connected with the second end of the percussion pipe, the launching cavity is communicated with the gas storage cavity, the intercepting net is initially folded and stored in the storage cavity, the intercepting net is connected with the traction block, and the launching cavity is filled with the traction block. According to the method, the low-slow small unmanned aerial vehicle target can be intercepted in a quick, efficient and low-cost manner.

A projectile and method for stopping aerial vehicles. The projectile comprises a shell—and a bunch of filaments. The bunch is wound in a coil and placed inside the shell. The projectile according to the solution may be brought to a target by different methods and utilising different means. For example, the projectile may be fired with compressed air or a propulsion charge, by using a compressed air weapon or rocket launcher. In addition, the projectile may be taken to the target by using a rocket or aerial vehicle.

The Portable Digital Twin Robotic System based on Computer Vision for the Identification, Tracking, and Destruction of Suicide Drones is an innovative system that autonomously identifies, tracks, and destroys suicide drones by leveraging Digital Twin and computer vision technology. This system analyzes visual data using artificial intelligence algorithms and performs precise positioning in real-time. Aided by the Digital Twin, the precise simulation of the system's dynamics and movement enables the optimization of paths and precise control of the robot, while the real-time communication between the digital model and the physical robot provides the capability for immediate updates of control algorithms and predictive maintenance. The portable design and the capability to be connected to various types of weapons make this system suitable for installation on military and non-military platforms and improves the security of sensitive areas.

The invention provides an unmanned aerial vehicle countering method, which comprises the following steps of: acquiring a radar signal containing an unmanned aerial vehicle reflection signal in a target airspace through a radar detection module, obtaining an unmanned aerial vehicle motion feature through feature extraction, and inputting the unmanned aerial vehicle motion feature into a threat judgment model to determine a threat level. And if the active interception condition is met, controlling the radio interference module to transmit a directional interference beam and activate the physical interception module, and analyzing an interference efficiency parameter to generate a dynamic interception instruction. And finally, combining the target airspace coordinate, the threat level and the interception instruction into a countering control instruction, and sending the countering control instruction to a physical interception module to complete interception. According to the invention, automatic and accurate countering of the urban low-altitude unmanned aerial vehicle can be realized, and the response speed and interception reliability of a security and protection system are improved.

The invention discloses an anti-unmanned aerial vehicle defense system based on electromagnetic pulses and a defense method thereof, and relates to the technical field of unmanned aerial vehicle defense. The position information, the signal characteristics and the thermal imaging information of the unmanned aerial vehicle are acquired and comprehensively evaluated, so that a three-dimensional threat evaluation system is constructed, multi-dimensional parameters are weighted and calculated into the threat evaluation index, the threat evaluation index is matched with the preset index set to determine the threat level, different threat scenes can be dynamically responded, and the threat evaluation accuracy is improved. The problem that in the prior art, the threat level cannot be automatically evaluated according to dynamic parameters such as the speed, the flight path and the load type of the unmanned aerial vehicle, and overreaction or defense vulnerabilities are likely to occur is solved.

An autonomous drone swarm system and method utilizing artificial intelligence for coordinated operations comprises command drones equipped with large language model processors and subordinate drones coordinated through a hierarchical Queen-Worker architecture. The system processes natural language commands, generates autonomous mission plans, and coordinates multi-drone operations through an encrypted self-healing mesh communication network utilizing laser, radio frequency, and visual communication channels. Multi-modal sensor integration including electro-optical, infrared, LiDAR and photogrammetry, radio frequency, and chemical detection provides comprehensive environmental awareness while federated learning algorithms enable distributed coordination in signal-denied environments. The system implements configurable operational modes spanning tactical (15 minutes-2 hours over 2 to 5 square kilometers), operational (6-24 hours over 20 to 50 square kilometers), and strategic (7-30+days over 200 to 500 square kilometers) mission profiles for military and commercial applications. Fault-tolerant protocols ensure continued operation despite individual failures through automatic task redistribution and leader election procedures.

The invention refers to a counter countermeasures device, for use in an anti-aircraft combat. In one embodiment the CCM device together with an anti-aircraft weapon system forms an air defense system. The counter countermeasures device is configured for generating and emitting electromagnetic radiation of appropriate wavelengths and is capable of operating in spoof and jam mode and switching between both modes. The mode of operation is dependent on the selection of the output power of the EM source unit and the distance to the target. The selection of the output power may be done with a mechanical cover or with an electronic solution, decreasing driving current of the EM sources. With the CCM device the anti-aircraft missile launch warning and detection system installed on aircrafts are deceived and the countermeasures are released. With the use of the CCM device the efficiency of the anti-aircraft combat is highly improved, i.e. the probability of the target hit is highly improved.

The invention relates to the technical field of unmanned aerial vehicle trapping, and discloses an unmanned aerial vehicle trapping method for emitting a navigation deception signal, which comprises the following steps: step 1, generating a navigation deception signal synchronized with the time reference of a satellite navigation system through an atomic clock synchronization mechanism; step 2, injecting dynamically predicted satellite orbit parameters based on the navigation deception signal; 3, subcarrier pseudo-arbitrary frequency hopping control is carried out on the navigation deception signal with the injected parameters; and 4, collecting multi-source data of the radar and the optical sensor, and fusing the multi-source data to generate a motion track of the unmanned aerial vehicle. According to the invention, an atomic clock synchronization mechanism is adopted to generate a high-precision time reference, a technical scheme of dynamic orbit prediction and pseudo-random frequency hopping control is combined, time synchronization with a satellite system is realized through an atomic clock, satellite orbit parameters are dynamically corrected through a long and short-term memory network, and rapid hopping modulation of a subcarrier frequency band is realized. The technical effects of high space-time consistency of deception signals and dynamic disguising of spectrum characteristics are achieved.

The invention belongs to the technical field of low-altitude security and particularly relates to the field of unmanned aerial vehicle defense. Aiming at the problems that in the prior art, electronic interference accidentally damages legal equipment, the physical interception efficiency is low, physical evidences are damaged, and the whole-process dynamic decision-making capability is lacked, the invention provides a hierarchical anti-unmanned aerial vehicle system and method. According to the technical scheme, the method comprises the following steps: 1) constructing a multi-source detection module, fusing data through a phased array radar (the detection radius is greater than or equal to 3km), a frequency spectrograph and photoelectric equipment, and dynamically evaluating airspace risks based on a threat level formula; 2) a hierarchical response mechanism: starting electronic interference (dynamic power adjustment) within 2500m, triggering physical interception within 800m, and optimizing emission parameters through an interception success rate formula; and 3) the flexible interception net is combined with grading recovery design to realize target lossless capture and flight control data complete extraction.The method is suitable for airports, nuclear power stations and major activity places, and has all-weather and all-time protection, high interception efficiency and judicial-level evidence obtaining ability, and the false touch rate is lower than 0.1 time / month.

The invention discloses a reusable anti-unmanned aerial vehicle aircraft based on rotary cutting steel blades, and belongs to the technical field of unmanned aerial vehicle countering. The aircraft comprises a seeker cabin, a function cabin, an instrument cabin, a power cabin, a steering engine cabin and a parachute pack cabin. An infrared seeker is arranged in the seeker cabin; the functional cabin comprises a fixed cabin body, a rotating cabin body and a folding and unfolding mechanism, a fixed shaft is arranged at the axis position of the fixed cabin body, N folding steel blades are installed on the rotating cabin body and evenly distributed in the circumferential direction, and the folding and unfolding mechanism drives the folding steel blades to complete unfolding and folding actions. The folding and unfolding mechanism simultaneously drives the rotary cabin to rotate around the axis of the aircraft; a main power supply, an airborne computer, a data chain and an inertial navigation device are arranged in the instrument cabin, and the power cabin provides patrol flight power for the aircraft; a steering engine for controlling the rudder wings to rotate is arranged in the cabin, and a pressurizing device for pressurizing the parachute pack cabin is arranged in the parachute pack cabin. The anti-unmanned aerial vehicle aircraft can be repeatedly used, and the combat time of the aircraft is prolonged to the maximum extent.

The invention discloses an anti-unmanned aerial vehicle aircraft based on folding steel blade rotary cutting, and belongs to the technical field of unmanned aerial vehicle countering. The aircraft comprises a seeker cabin, a function cabin, an instrument cabin, a power cabin, a steering engine cabin and a parachute pack cabin. An infrared seeker is arranged in the seeker cabin; the functional cabin can independently rotate relative to the front cabin section and the rear cabin section under the driving of the motor and release the folding steel blade mounted on the surface of the functional cabin in a folding manner, and the motor drives the functional cabin to rotate at a high speed and drives the folding steel blade to rotate, so that rotary cutting of the target unmanned aerial vehicle is realized; a main power supply, an airborne computer, a data chain and an inertial navigation device are arranged in the instrument cabin, and the power cabin provides patrol flight power for the aircraft; a steering engine for controlling the rudder wings to rotate is arranged in the cabin, and a pressurizing device for pressurizing the parachute pack cabin is arranged in the parachute pack cabin. The anti-unmanned aerial vehicle aircraft is few in component parts, high in reliability, low in cost and high in cost-effectiveness ratio.

The utility model discloses a multifunctional mobile platform for detecting, interfering, trapping, striking and picking up an unmanned aerial vehicle. The multifunctional mobile platform comprises a mobile platform and portable reconnaissance and striking equipment which is arranged on the mobile platform and is used for striking the unmanned aerial vehicle, the mobile platform is provided with a positioning navigation antenna for autonomous navigation; the mobile platform is provided with a navigation laser radar for ground environment detection. An unmanned aerial vehicle countering antenna and an unmanned aerial vehicle countering controller are arranged on the mobile platform, and the unmanned aerial vehicle countering controller is in communication connection with the unmanned aerial vehicle countering antenna; a pickup unit is arranged on the moving platform, the pickup unit comprises a mechanical arm mounted on the moving platform, a pickup clamping jaw assembled at the end of the mechanical arm and a 3D camera, and the pickup clamping jaw, the 3D camera and the mechanical arm are in communication connection with the unmanned aerial vehicle countering controller. According to the utility model, the unmanned aerial vehicle countering controller sends a control instruction to the 3D camera and carries out visual search on the forced landing unmanned aerial vehicle; and a control instruction is sent to the mechanical arm and the picking clamping jaw to pick the unmanned aerial vehicle.

A pressure-tight container pressure control assembly is configured to adjust internal pressure in a pressure-tight container. The pressure-tight container pressure control assembly has a housing having an attachment end. wherein the attachment end is configured to penetrate a wall of the pressure-tight container. A seal is arranged around the housing and configured to form an airtight seal between the housing and the wall. A pressure controller is arranged in the housing and configured to provide a controlled transfer of a material between the housing and the pressure-tight container through the wall thereby adjusting an internal pressure of the material within the pressure-tight container.

The invention discloses an anti-unmanned aerial vehicle aircraft based on rotary cutting, and belongs to the technical field of unmanned aerial vehicle countering. The aircraft comprises a seeker cabin, a steel rope cabin, an instrument cabin, a power cabin, a steering engine cabin and a parachute pack cabin. An infrared seeker is arranged in the seeker cabin; the steel rope cabin can independently rotate relative to the front cabin section and the rear cabin section under driving of the motor and release the flexible steel rope wound in the steel rope cabin, the motor drives a shell of the steel rope cabin to rotate at a high speed and drives the flexible steel rope to rotate at a high speed, and therefore rotary cutting of the target unmanned aerial vehicle is achieved. A main power supply, a control computer, a data chain and an inertial navigation device are arranged in the instrument cabin; the power cabin provides patrol flight power for the aircraft; a steering engine for controlling the rudder wings to rotate is arranged in the cabin, and a pressurizing device for pressurizing the parachute pack cabin is arranged in the parachute pack cabin; the target unmanned aerial vehicle is softly killed, the application range is wide, and the problem that the cost-effectiveness ratio of an existing anti-unmanned aerial vehicle aircraft is relatively low can be effectively solved.

The invention discloses a multispectral target identification and laser orientation soft and hard damage anti-unmanned aerial vehicle system. Comprising a multispectral signal acquisition module, a multi-modal data preprocessing module, an unmanned aerial vehicle target feature extraction module, an intelligent target identification and classification module, a laser parameter dynamic configuration module, a directional tracking and aiming module, a soft and hard damage execution module and a damage effect evaluation and feedback module. According to the invention, through multi-spectral fusion acquisition and multi-dimensional feature extraction, haze, camouflage and other environmental interferences are effectively resisted, and the distinguishing precision of the unmanned aerial vehicle and the interference target is improved; laser parameter dynamic configuration and soft and hard damage mode switching can be carried out according to target types and scene requirements, and energy waste or excessive treatment is avoided; and a damage effect evaluation and feedback mechanism ensures thorough target disposal, reduces repeated operation, and improves the system combat efficiency.

The invention relates to the technical field of unmanned aerial vehicle detection, in particular to a civil small unmanned aerial vehicle cat eye detection and countering system which comprises the steps that a cat eye detection module collects cat eye reflection characteristic signals, environment sensing data and unmanned aerial vehicle flight state associated information in an airspace; the threat level evaluation center identifies the type of the unmanned aerial vehicle and the intrusion risk level through an improved random forest model, and measures the real-time airspace position; the dynamic trajectory modeling module constructs a digital twin flight model of the civil small unmanned aerial vehicle, and simulates a flight trajectory and a potential intrusion path by using an intention pre-judgment algorithm; the grading countering unit generates a non-destructive countering strategy according to the intrusion risk grade, the flight path and the potential intrusion path; the man-machine interaction unit constructs a visual airspace monitoring scene, renders a detection result, an intrusion risk level and a countering effect in real time, and carries out man-machine interaction operation. Therefore, the problems of insufficient perception, poor decision collaboration and the like in the prior art are solved.

The invention discloses an unmanned aerial vehicle countering system, and relates to the technical field of unmanned aerial vehicle countering, and the system comprises a plurality of guidance unmanned aerial vehicles which are used for carrying out the rigid interception of black flight unmanned aerial vehicles; the radar is used for discovering a black flight unmanned aerial vehicle target; the medium-wave infrared camera is used for performing image recognition on the black-flight unmanned aerial vehicle target; the control center is used for displaying a signal detected by the radar and a target image and generating a control instruction; the radar transmits the control instruction to the unmanned aerial vehicle, and controls and guides the unmanned aerial vehicle to fly to the black flight unmanned aerial vehicle and collide with the target; guidance of the unmanned aerial vehicle further comprises image terminal guidance, namely, an airborne image recognition and tracking system autonomously finds a target, tracks the target and guides the unmanned aerial vehicle to intercept collision; and guiding the unmanned aerial vehicle to autonomously adjust the flight attitude after the target is hit, and executing a task according to an instruction after stabilization. According to an actual deployment scheme, the radar instructs the guidance unmanned aerial vehicle close to the deployment incoming attack direction to take off and execute a countering task, and the interception probability can be effectively improved.

A method for the airborne deployment of anti-tank mine barriers using anti-tank mines (40) using a vertical takeoff aircraft (1) having a magazine coupling device (2) configured to mechanically couple an anti-tank mine magazine (30) to the aircraft (1), wherein the anti-tank mine magazine (30) comprises a housing (32) with a plurality of mine receiving locations (34) arranged therein, each for one anti-tank mine (40), and each mine receiving location (34) is assigned a mine release device (36) operable by a control device (28) and configured to mechanically couple an anti-tank mine (40) received at a mine receiving location (34) to the anti-tank mine magazine (30), is characterized by the following method steps: a) fastening the anti-tank mine magazine (30) filled with a plurality of anti-tank mines (40) to the aircraft (1) by means of the magazine coupling device (2), b) vertically launching the aircraft (1) and bringing it to a predetermined deployment position for an anti-tank mine (40), c) vertically lowering the aircraft (1) and deploying an anti-tank mine (40) from a mine receiving station (34) onto the ground, d) removing the aircraft (1) from the deployment position (50.1, 50.n), e) flying to a further mine deployment position and repeating process steps c) to d).

The invention discloses an unmanned aerial vehicle catching gun grenade, and relates to the technical field of unmanned aerial vehicle defense. The gun grenade comprises an air cap, a heavy hammer part sleeve, a catching net, a net expanding exploder and a cartridge case. The heavy hammer part sleeve is formed by combining a plurality of split heavy hammer blocks, and the rear end of the heavy hammer part sleeve is hooped by a brittle constraint ring. The net expanding exploder comprises a delay ignition unit and an explosion initiation unit. After launching, the delay ignition unit triggers the detonation unit after delaying a preset time to generate impact to crush the brittle constraint ring, so that the heavy hammer block carries the catching net to be scattered and unfolded at a high speed, and interception is realized. The device is compact in structure, low in cost and high in reliability, can be launched through a gun grenade launcher, is particularly suitable for being carried and used by an individual soldier, and can effectively cope with the threat of a small-sized high-speed unmanned aerial vehicle.

The invention belongs to the technical field of anti-unmanned aerial vehicles, and discloses an unmanned aerial vehicle capturing system based on radar search, which comprises a radar echo analysis unit, a phased array radar array is deployed to scan a target airspace in real time, radar echo signals are acquired, target detection sensitivity is adjusted in real time through a nonparametric dynamic threshold value method, and the target detection sensitivity is acquired. Target echoes and natural clutters are distinguished, frequency drift and waveform deformation of radar echo signals are analyzed, and a target dynamic trajectory sequence is output; the target motion recognition unit is used for receiving the target dynamic trajectory sequence, performing recognition analysis on a flight mode of the target based on a rule-driven trajectory fitting method, judging whether the target accords with preset unmanned aerial vehicle flight characteristics or not, and generating an unmanned aerial vehicle recognition flag bit if the target accords with the preset unmanned aerial vehicle flight characteristics; the sensing precision, the recognition reliability, the interception efficiency and the combat safety of the unmanned aerial vehicle target in a complex environment are improved.

The invention discloses an unmanned aerial vehicle target tracking method and system, and relates to the technical field of radio monitoring and unmanned aerial vehicle control, and the unmanned aerial vehicle target tracking method and system can analyze the radio signal of an unmanned aerial vehicle, combine the three-dimensional map data, unify the coordinate reference, and eliminate the height reference difference. And a three-dimensional space model is constructed to accurately calculate the spatial position relationship between the unmanned aerial vehicle and the control equipment, so that the positioning precision and the tracking effect are improved, and the technical problem of large positioning error in a complex electromagnetic environment and terrain in a traditional method is solved.

The invention relates to the technical field of unmanned aerial vehicle countering, in particular to an unmanned aerial vehicle countering model training method, an unmanned aerial vehicle countering method, control equipment and a system. According to the embodiment of the invention, the first state information of the unmanned aerial vehicle in the target area is acquired, the overall situation of the unmanned aerial vehicle in the target area is evaluated, the countering strategy is generated, the unmanned aerial vehicle countering device is controlled to countering the unmanned aerial vehicle, and after countering is completed, the second state information of the unmanned aerial vehicle in the target area is acquired. Determining a reward function according to the previous and later situation scores, evaluating a countering strategy in time according to the reward function and the action space vector, generating an action value function, and adjusting an unmanned aerial vehicle countering model through the action value function. Through the training mode, the countering accuracy of the unmanned aerial vehicle countering model is improved.