1862results about "Communication jamming" patented technology

The invention provides an unmanned aerial vehicle multi-system navigation decoy system based on intelligent algorithm optimization, and relates to the technical field of unmanned aerial vehicle processing, a sensing module comprises a cognitive radar, a photoelectric / infrared sensor, a magnetic and acoustic sensor and an electromagnetic environment scanning device, and a digital twinning and countermeasure AI module comprises a digital twinning model module and a countermeasure AI engine; the cross-domain multi-source cheating module comprises a multi-system navigation signal synthesis module and a sensor-level cheating module; the reconfigurable intelligent antenna array comprises a metamaterial unit, a real-time beam controller and a biological heuristic intelligent algorithm module, and the system security hiding module comprises an encryption access control unit, a micro-power frequency expansion and hopping unit and a redundant backup and disaster recovery unit. The response time of the system from detection to interference can be remarkably shortened by performing high-fidelity simulation on the flight control logic of the unmanned aerial vehicle and the actual electromagnetic environment in the digital twin environment and combining the hybrid decoy strategy generated by the adversarial AI.

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 provides a multi-means fusion unmanned aerial vehicle countering method and system, and the method comprises the steps: obtaining three-dimensional topographic data, atmospheric turbulence features and electromagnetic spectrum features in real time through deploying a distributed sensing array in a target region, constructing a multi-layer virtual signal barrier boundary, and generating a frequency band interference parameter set; when it is detected that the unmanned aerial vehicle passes through the barrier boundary, the cooperative interference module is triggered to generate an initial interference signal weight, polarization direction distribution and power density distribution are dynamically corrected in combination with electromagnetic scattering characteristics fed back by the unmanned aerial vehicle in real time, and the initial interference signal weight serves as flight path modeling input and is used for generating a three-dimensional dynamic flight path model; according to the method, the azimuth angle correction, the elevation angle compensation coefficient and the energy gradient parameter of the ground interception equipment are calculated, and then the dynamic interception strategy is generated through the dynamic strategy fuser, so that the interference and interception efficiency of the unmanned aerial vehicle is improved through fusion and dynamic closed-loop control of excessive means, and the full-link closed loop from environmental perception to interception control is realized.

The invention relates to the technical field of wireless signal detection, and discloses a wireless anti-interference signal detection method, device and equipment and a storage medium, and the method comprises the steps: collecting a standardized interference feature vector through a multi-scene wireless signal receiving device; performing interference feature enhancement processing on the standardized interference feature vector to obtain an interference feature sample set; constructing a dual-array cooperative detection system comprising a passive detection array and an active detection array, and performing real-time monitoring to obtain dual-path interference signal monitoring data; performing spatial domain and time-frequency domain dual feature extraction and fusion processing on the dual-path interference signal monitoring data to obtain a comprehensive interference feature; the receiver filtering parameter matrix and the detection threshold vector of the double-array cooperative detection system are dynamically adjusted according to the comprehensive interference characteristics, the method can adapt to changes of different interference environments in a self-adaptive mode, comprehensive coverage of communication spectrums is achieved, and the wireless anti-interference monitoring range and the spectrum sensing capacity are greatly expanded.

The invention discloses an unmanned aerial vehicle monitoring and countering integrated system, and relates to the technical field of unmanned aerial vehicle monitoring, and the system comprises a sensing module which is used for carrying out the monitoring of an environment through a plurality of sensors, and obtaining original data; the fusion module is used for processing the original data by adopting a data fusion algorithm to obtain target information; the identification module is used for outputting the type and behavior mode of the unmanned aerial vehicle; the analysis module is used for evaluating the type and behavior mode of the unmanned aerial vehicle by adopting a dynamic threat evaluation method and generating early warning information; the strategy module is used for formulating a dynamic countering strategy; the execution module is used for implementing corresponding countering measures and monitoring the countering effect in real time; and the recording module is used for recording all results in the whole process. Through the technical means of multi-sensor cooperative monitoring, data fusion processing, classification identification, dynamic threat assessment, game decision making, intelligent countering and the like, omnibearing perception, accurate identification, intelligent assessment and efficient disposal of the unmanned aerial vehicle are realized.

The present application relates to a method and a system for intercepting and controlling target-drones (2), allowing to control the target-drone's flight route (4), causing it to land in a predetermined landing position. For that purpose, the method of the invention provides the configuration of flight routes (4) for controlling the target-drone's flight path in order to direct it to the landing position, without causing any physical damage to the target-drone (1). This control is achieved by using police-drones (1) which are adapted to transmit redirection signals (3) used as a way to program a new flight route (4) for the at least one target-drone (2) to a landing position.

The invention provides a precise interference method and system for pilot signals of a remote controller of an unmanned aerial vehicle, and the method comprises the steps: receiving and processing an image transmission signal and a remote control signal of the unmanned aerial vehicle, and analyzing a starting time, a transmission period and different types of image transmission protocol classification results of the image transmission signal; extracting the time period of the remote control signal and the occurrence time of a pilot symbol in the remote control signal; generating optimized interference signal parameter configuration by utilizing a reinforcement learning algorithm, analyzing historical data by utilizing a long short-term memory network to obtain a historical analysis result, and predicting an optimal interference opportunity; monitoring a wireless communication environment around the unmanned aerial vehicle by using a real-time spectrum sensing technology so as to identify a potential conflict frequency band, and selecting a target interference frequency band by using a frequency agility technology; determining a precise interference method based on the historical analysis result, the optimal interference opportunity and the target interference frequency band; according to the invention, the interference precision and effect on the pilot signal of the remote controller of the unmanned aerial vehicle are improved.

The invention provides a control method for optimizing operation of high-power short-pulse microwave equipment, and aims to improve the accuracy of microwave interference signals, the energy utilization efficiency and the system adaptability. The method comprises the following steps: firstly, acquiring position information, motion trail data, electromagnetic scattering characteristics and environmental electromagnetic parameters of a target object; and then, according to the target position prediction data, the electromagnetic scattering characteristics and the environmental electromagnetic parameters, generating a microwave pulse waveform control instruction. And controlling the phased-array antenna array to generate a directional microwave beam based on the control instruction and the target position prediction data. And collecting real-time response data of the target, dynamically updating the target motion trend prediction model according to the real-time response data, and recalculating microwave pulse signal parameters. And finally, according to the updated signal parameters and the target position prediction data, adjusting the transmitting power, the working time sequence and the beam direction of the phased-array antenna array so as to maintain the optimal interference effect, reduce unnecessary energy consumption and improve the stability and adaptability of the system.

The invention discloses a precise interference avoidance method and device in a radio system, and relates to the field of signal processing, and the method comprises the steps: constructing a sensing matrix through sensing node data, and capturing a transient interference signal through aperiodic scanning; performing tensor decomposition on the signal data to extract time domain, frequency domain, space domain and modulation domain features, constructing a dual-mode spectrum analysis model, reconstructing an instantaneous spectrogram by using compressed sensing, and predicting an interference mode through LSTM; after the instantaneous spectrogram and the predicted interference graph are fused, threat assessment is carried out through a multi-stage interference classification model; according to the interference category and the threat level, beam forming is optimized, adaptive null is generated, a power density optimization model is constructed, and the transmitting power is dynamically adjusted; an anti-interference frequency hopping sequence is generated based on a chaotic mapping algorithm, and spectrum camouflage and tracking interference resistance are realized. The method has the advantages that accurate identification and dynamic avoidance of interference are realized through multi-dimensional perception, intelligent prediction and adaptive beam forming, and the interference avoidance capability of a wireless system is improved.

The invention provides an anti-unmanned aerial vehicle defense method and system based on radar and audio, and the method comprises the steps: constructing a three-dimensional airspace monitoring network through radar sensors and audio capture devices which are disposed at different heights and positions, carrying out the time-space synchronous multi-modal information fusion, and obtaining signal audio alignment data; a real-time behavior track of the target in a three-dimensional space is generated through a space positioning algorithm, a behavior profile modeling technology is combined with a machine learning algorithm to obtain a behavior profile with unique identification, the behavior profile is analyzed to obtain an analysis result, and a threat level judgment model is constructed according to the analysis result; the threat level judgment model is utilized to evaluate the intention and risk level of the abnormal behavior of the unmanned aerial vehicle to generate a threat evaluation result, and a self-adaptive threat evaluation engine is utilized to generate a target defense scheme; according to the technical scheme provided by the invention, the precision and reliability of target positioning and the intelligent level are improved, and the capability of coping with complex threats is enhanced.

The invention discloses a portable unmanned aerial vehicle sound wave countering system and method, and relates to the field of radio countermeasure and sound wave interference, and the system comprises a multi-source sensing module which is used for obtaining a multi-modal feature data set of a target unmanned aerial vehicle; the signal processing module is used for carrying out space-time correlation analysis on the multi-modal characteristic data set and generating a threat evaluation parameter set containing an unmanned aerial vehicle type identification result, communication protocol analysis characteristics and navigation mode discrimination indexes; the countering strategy generation module is used for generating a sound wave modulation parameter set, a radio frequency interference waveform sequence and a positioning deception signal template; the cooperative interference module is used for generating a multiband joint countering instruction set according to the improved phase cooperative control strategy; and the execution monitoring module is used for executing the multiband joint countering instruction set in the preset airspace range. According to the portable unmanned aerial vehicle sound wave countering system and method provided by the invention, the multi-level countering capability for different threat levels is improved.

A method and system for protecting low-altitude airspace against unauthorized unmanned aerial vehicles by using a base station having communication and jamming functions. The present invention relates to the field of communications, unmanned aerial vehicles, and security supervision, and specifically to a method and system for managing unmanned aerial vehicles to protect low-altitude safety by using a wireless communication network base station to provide low-altitude wireless signal coverage comprising communication signals and jamming signals. "Low altitude, slow speed, and small size" unmanned aerial vehicles have become the main users of low-altitude airspace in China, but the safety supervision on the flight of unmanned aerial vehicles in low-altitude airspace is difficult to implement. By means of the present invention, the function of a jamming signal generator is integrated into a base station (base station having communication and jamming functions), and the effective coverage of communication / jamming signals in restricted areas can be realized in a cost-effective manner through wide deployment of base station network systems, imparting the restricted areas with a significant electromagnetic signal characteristic, thereby effectively preventing the intrusion of unauthorized unmanned aerial vehicles. In addition, the management and control of authorized networked unmanned aerial vehicles is implemented through networking and communication, providing technical means for the electronic management of unmanned aerial vehicles in low-altitude airspace.

The invention discloses a sound recording shielding method and device based on ultrasonic interference, and the method comprises the steps: detecting and recognizing sound recording equipment in a target region, and obtaining the type information of the sound recording equipment; configuring a first ultrasonic interference signal and a second ultrasonic interference signal based on the type information; and performing recording interference on the target area according to the first ultrasonic interference signal and the second ultrasonic interference signal. The technical problem of poor recording interference effect caused by lack of accurate shielding methods for different types of recording devices in the prior art is solved, and the technical effects of customizing the ultrasonic interference signal according to the type of the recording device and realizing efficient and accurate recording content shielding are achieved.

The invention relates to the technical field of wireless communication testing, and particularly discloses a Bluetooth headset anti-interference performance testing system which comprises an interference signal generation module, an interference signal dynamic simulation module, a signal stability monitoring and evaluation module and an anti-interference capability identification module. An interference signal comprising a modulation signal, a cross-band noise signal and a dynamic radio frequency signal is generated and injected into a test environment, and a real interference scene is simulated by using dynamic conversion of signal strength and frequency; the monitoring module obtains the intensity and frequency characteristics of the interference signal in real time, and comprehensively evaluates the signal stability based on an intensity abnormal coefficient and a frequency abnormal coefficient; and the anti-interference capability identification module calculates an anti-interference capability coefficient by using a support vector machine in combination with performance data of the Bluetooth earphone under different interference levels, and realizes graded evaluation of earphone performance.

The invention provides an unmanned aerial vehicle full-band countering method and system based on acousto-optic-electric composite detection. According to the invention, through synchronous cooperative detection of sound wave sensing, optical imaging and electromagnetic spectrum analysis, a composite detection signal is generated; based on the relevance between the acoustic characteristic frequency band and the electromagnetic control frequency band, extracting the working mode characteristics of the unmanned aerial vehicle and generating dynamic interference parameters; generating a synchronous interference instruction according to the time domain modulation characteristic of the dynamic interference parameter; in combination with abnormal noise distribution characteristics captured by the acoustic module and flight path offset identified by the optical module, power distribution and frequency band coverage of the interference instruction are corrected in real time, and optimized interference parameters are generated; and finally, a dynamic interference map is generated through overlapping frequency spectrum fusion of the dynamic interference parameters and the optimized interference parameters, accurate cooperative suppression is realized, full-band real-time accurate suppression of navigation, communication and power control signals of the target unmanned aerial vehicle is realized, and the countering efficiency in a complex scene is remarkably improved.

The invention provides a self-adaptive anti-interference method based on unmanned aerial vehicle communication interference monitoring, and belongs to the technical field of unmanned aerial vehicle communication, and the method comprises the steps: obtaining all signal information in a communication range of an unmanned aerial vehicle, carrying out the spectrum analysis of the signal information, and recognizing a normal communication signal and an interference signal according to a spectrum analysis result; performing interference feature extraction on the interference signals, classifying the interference signals according to interference features, determining an interference source based on a classification result, and positioning the interference source; adjusting the original network topology of the unmanned aerial vehicle based on the positioning result, and performing deployment optimization on the relay node to obtain an updated network topology; the communication parameters and the flight path of the unmanned aerial vehicle are adjusted according to the updated network topology, the communication quality and the system adaptability are improved, and the reliability and the stability of a communication system are improved.

The invention provides an unmanned aerial vehicle group wide area suppression method and system based on multi-band frequency hopping interference. The method comprises the following steps: analyzing a frequency hopping rule and an encryption feature of a communication link of a target unmanned aerial vehicle group, and constructing a protocol feature library containing a multi-band frequency hopping sequence; deploying a directional focusing antenna array, and generating a directional interference energy signal covering a multi-band frequency hopping channel of the hotspot area of the unmanned aerial vehicle group; based on the encryption features and the frequency hopping sequence in the protocol feature library, performing parameter setting and subcarrier modulation adaptation on a preset interference signal, generating an adjustable interference signal, and converting the adjustable interference signal into an interference injection signal; extracting a time distribution rule of the frequency hopping sequence, dynamically and cooperatively adjusting an injection frequency band of interference energy and a signal, and generating a frequency band coordination strategy; and performing multi-band dynamic distribution on the interference energy and the signal to generate a wide-area suppression signal. According to the technical scheme provided by the invention, the blocking efficiency of unmanned aerial vehicle group cooperative control in a complex electromagnetic environment is improved.

The invention discloses an unmanned aerial vehicle radio communication frequency band countering method for automatic frequency identification and frequency writing, and relates to the technical field of unmanned aerial vehicle interference, and the method comprises a frequency band identification module which is used for scanning a 300MHz-6GHz frequency band in real time and identifying an enemy unmanned aerial vehicle communication signal; the signal analysis module is connected with the frequency band identification module, comprises a digital signal processor and an FPGA (Field Programmable Gate Array), and is used for analyzing signal modulation types and spectrum characteristics; the automatic frequency writing module is used for adjusting an interference frequency band through a direct digital frequency synthesis technology according to an analysis result; the multi-frequency-band interference transmitter supports synchronous interference in frequency bands of 1.2 GHz, 2.4 GHz, 5.2 GHz and 5.8 GHz; the intelligent control terminal integrates an adaptive interference algorithm, and the response time is less than or equal to 1 second. According to the unmanned aerial vehicle radio communication frequency band countering method capable of automatically identifying and writing the frequency, the radio communication frequency band used by the enemy unmanned aerial vehicle is automatically identified, and the corresponding frequency band is written in real time for accurate interference, so that the interference effect of an interference system facing the enemy unmanned aerial vehicle is improved.

The invention belongs to the technical field of electromagnetic confrontation and intelligent decision making, and particularly relates to an electromagnetic situation intelligent confrontation decision making method and system based on deep learning. Threat level evaluation and resource adaptation degree analysis are carried out based on a multi-head self-attention mechanism, and a dynamic electromagnetic confrontation strategy knowledge graph is generated; a game confrontation engine driven by deep reinforcement learning is used for deducing an enemy countering path and a situation evolution result under different interference strategies of our party, interference parameters are optimized through a multi-agent collaborative learning model, weight parameters of a strategy network are updated in real time through online confrontation element learning, and historical confrontation efficiency data and current task constraints are combined to obtain a confrontation result. And dynamically generating a target interference decision sequence and an electromagnetic confrontation efficiency prediction report, and synchronously updating the electromagnetic confrontation strategy library. Therefore, the problems of serious disjunction of deduction results, low real-time antagonism and the like in the prior art are solved.

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 technology disclosed teaches distributed networks and methods for cloud processing for global navigation satellite system (GNSS) interference data from a plurality of GNSS receivers to alert aircraft personnel to GNSS spoofing of aircraft guidance systems. The technology disclosed includes receiving at a cloud-based server, GNSS interference data from the plurality of GNSS receivers, analyzing the GNSS interference data upon receipt, identifying an interference event from the analyzed GNSS interference data, and in response to an identified interference event, the cloud-based server providing an alert to EFB tablet devices onboard the aircraft thereby causing notification of aircraft personnel of a potential spoofing event.

The invention relates to the technical field of unmanned aerial vehicle detection, in particular to an anti-unmanned aerial vehicle detection method and system, and the method comprises the following steps: scanning a target airspace in real time through broadband cognitive radio, and constructing an environment feature matrix; based on the environment feature matrix, double-flow feature extraction is carried out, and a protocol fingerprint vector is generated; activating a corresponding group behavior analysis model according to the protocol fingerprint vector, and constructing a behavior topological graph; constructing a dynamic threat vector by adopting a game theory in combination with the behavior topological graph and the real-time motion parameters; generating a multi-dimensional interference strategy set according to the dynamic threat vector; according to the invention, an omnibearing and real-time updated threat vector is constructed, a node threat value is calculated through a non-cooperative game model, accurate evaluation is carried out in combination with spatio-temporal information, potential threats are effectively identified, accurate interference on an unmanned aerial vehicle group is realized, the perception capability of unmanned aerial vehicle behaviors in a complex scene is enhanced, and the risk of the unmanned aerial vehicle behavior in the complex scene is reduced. And the execution precision and efficiency of the interference strategy are obviously improved.

The invention provides a signal shielding method based on deep reinforcement learning, and belongs to the technical field of artificial intelligence and communication crossing. The method comprises the steps that S1, a large number of historical wireless communication signals are acquired to construct a data set to train a signal interference strategy generation model; s2, deploying the signal interference strategy generation model to a signal shielding device; s3, verifying and analyzing the signal shielding instruction to obtain a shielding parameter, collecting a real-time wireless communication signal, and inputting the real-time wireless communication signal and the shielding parameter into a deployed signal interference strategy generation model to obtain a real-time signal interference strategy; and S4, the signal shielding device modulates the real-time interference signal based on the real-time signal interference strategy, and the power amplifier performs power amplification on the real-time interference signal and then transmits the real-time interference signal to the outside through the radio frequency antenna so as to perform signal shielding. The method has the advantages that the accuracy, the real-time performance and the expansibility of signal shielding are greatly improved, and the power consumption of signal shielding is reduced.

The invention relates to the field of data synchronization, in particular to a dynamic synchronization method and system for communication data of a combat simulation platform, and the method comprises the steps: obtaining communication data streams of a radar node and an electromagnetic interference node, generating a unified semantic tag, and detecting that the continuous packet loss times of the communication data streams exceed a preset packet loss time threshold value; predicting through Kalman filtering to obtain a predicted strike unit coordinate of the current packet loss, and generating a compensation data packet; before the compensation data packet is injected, the displacement deviation between the predicted strike unit coordinate and the follow-up actual received strike unit coordinate is compared, and if the displacement deviation exceeds a preset displacement fault-tolerant threshold value, a synchronous rollback mechanism is triggered; counting link loads through a sliding time window to obtain network real-time loads, and allocating bandwidth resources according to dynamic priority weights; the problem that real-time synchronization of radar detection data and electromagnetic interference signal parameters is abnormal in the interception cooperation process of a striking unit in a high-dynamic combat simulation scene is solved, and the data synchronization precision in simulation is effectively improved.

The invention relates to an unmanned aerial vehicle detection countering method, which comprises the following steps of: deploying a multi-dimensional sensing network to carry out full-band instantaneous scanning, synchronously acquiring noise characteristics of radio signals, material characteristics of a terahertz wave band and Doppler effect characteristics, mapping to a virtual twinborn body, reconstructing physical parameters, a communication protocol and a behavior mode of a target unmanned aerial vehicle, performing depth comparison by combining a disguise sample library generated by the antagonism generation network, and generating a holographic target file containing a three-dimensional motion vector, an energy feature and a potential threat intention; a target quantum encryption communication link is interfered through a quantum entanglement signal, a controllable plasma cloud cluster is generated, navigation and image transmission signals of the controllable plasma cloud cluster are selectively attenuated, the controllability of the target is judged, and an uncontrollable target is repelled through coded sound waves; and sending a control instruction containing a biological heuristic obstacle avoidance algorithm in stages, and guiding the control instruction to an intelligent recovery cabin. According to the invention, accurate detection, intelligent identification, safe countering and reliable takeover of the unmanned aerial vehicle are realized, and the airspace safety guarantee capability is improved.

The invention provides an air-ground cooperative unmanned aerial vehicle countering signal adaptive generation method and system, and relates to the technical field of unmanned aerial vehicle countering, and the method comprises the steps: obtaining a target unmanned aerial vehicle communication signal, and extracting a feature analysis protocol; a secondary coding structure is adopted, and parameters are optimized by using a genetic algorithm with a composite fitness function; selecting and adjusting an interference waveform template based on the protocol type; executing air-ground collaborative resource optimization allocation, and dynamically allocating power and computing resources by adopting a reinforcement learning algorithm; and controlling the air-ground countering equipment to generate an interference signal. According to the method, the interference effect can be improved, the energy consumption is reduced, the detection resistance is enhanced, and intelligent dynamic allocation of countering resources is realized.

The invention discloses an unmanned aerial vehicle multi-mode interference device based on a digital source, and relates to the technical field of electromagnetic security and protection. According to the unmanned aerial vehicle multi-mode interference device based on the digital source, airspace wireless signals are monitored in real time through multi-channel software defined radio SDR equipment, frequency hopping data of a target unmanned aerial vehicle are collected, and historical data traceability analysis is combined; backtracking the frequency hopping decision logic of the unmanned aerial vehicle by using a digital source, extracting a communication mode and predicting possible frequency hopping points in the future; in the interference implementation stage, a predictive interference strategy is adopted, when a target unmanned aerial vehicle hops to a predictive frequency band, directional high-power interference is triggered immediately, a communication link of the target unmanned aerial vehicle is blocked, the frequency hopping logic of the target unmanned aerial vehicle is invalid, the target unmanned aerial vehicle is forced to enter a blind frequency hopping state, and the communication stability is reduced; the communication mode of the target unmanned aerial vehicle is copied in combination with a signal mirroring technology, and a part of credible communication signals are forged to guide the target unmanned aerial vehicle to misjudge the optimal communication frequency, so that the target unmanned aerial vehicle enters a frequency band susceptible to interference by mistake, the communication capability is further reduced, and the interference effect is improved.

The invention discloses an unmanned aerial vehicle soft landing control method based on track prediction and multi-source cooperative decoy, and the method comprises the steps: introducing a communication protocol recognition mechanism in a blocking process of an instruction link of an unmanned aerial vehicle, and achieving the conversion from extensive broadband suppression to protocol precise interference; the problems that in the prior art, power consumption is high, interference on legal communication is large, and the frequency hopping unmanned aerial vehicle resisting effect is insufficient can be effectively solved. In the scheme, signal integrity is guaranteed through monitoring and preprocessing, an unmanned aerial vehicle link protocol is identified through feature extraction and protocol library matching, and then a targeted interference template is generated, so that the interference effect can accurately fall on key positions such as a leader sequence, a CRC field, a subcarrier or a control frame and the like; therefore, synchronization, verification or data transmission can be destroyed under the condition of low power, and accidental damage of broadband noise to services such as co-frequency Wi-Fi and Bluetooth is avoided.

The invention provides an unmanned aerial vehicle countering system and method, and the system is characterized in that a ground control center controls a ground detection system to carry out the omnibearing scanning detection of a target region based on the detection demands of the target region, carries out the discrimination of an invaded unmanned aerial vehicle based on the ground detection information fed back by the ground detection system in real time, and carries out the recognition of the invaded unmanned aerial vehicle after the invaded unmanned aerial vehicle is detected. And continuously monitoring the threat level of the invading unmanned aerial vehicle and generating a countering strategy, issuing an airborne equipment selection instruction corresponding to the countering strategy to the airborne equipment switching platform, and sending the countering strategy to the unmanned aerial vehicle flight platform, so that the airborne equipment switching platform mounts the corresponding airborne equipment to the unmanned aerial vehicle flight platform, and then the unmanned aerial vehicle flight platform carries the unmanned aerial vehicle flight platform. And the unmanned aerial vehicle flight platform executes a countering task based on the countering strategy and the installed airborne equipment. According to the method, the accuracy of the countering strategy can be improved, the reflecting time of countering the unmanned aerial vehicle flight platform can be shortened, the cruising ability of the unmanned aerial vehicle flight platform can be improved, and then the flexible, rapid and accurate countering effect is ensured to be achieved.

The present disclosure describes a system and a method for object detection and counter measures. A signal reflected by an object in an environment is conditioned to improve various parameters such as signal to noise ratio, spectral resolution, color mapping, or the like. A determination whether the object is unmanned aerial vehicle is based on an output of a trained AI model. The trained AI model classifies the detected object into a category based on the conditioned signal. Additionally, a jammer and spoofer are orchestrated based on determination that the object is an unmanned aerial vehicle. A control of the object is achieved based on the orchestration to perform counter measures such as jamming and spoofing.