Research On GNSS-based Drone Deflect Technology

With the rapid development of intelligent economy,UAV has become an important unmanned flying tool in production life,a large number of UAV into the market,UAV-related applications are becoming more and more extensive.There are also many security risks in the convenient production and life of drones,the lack of effective and reasonable control of drone flight,so that drones are used by criminals with ulterior motives in the field of illegal crimes,causing many unpredictable security incidents and major threats,public security and national security pose a major threat.Therefore,how to control and counter-control illegal flying drones quickly,safely and effectively has become one of the hot spots and difficulties in the research of drone reaction at home and abroad.To this end,the paper mainly focuses on the GNSS(Global Navigation satellite System)-based UAV bias technology,and focuses on the analysis and research of UAV decoying principles and drone decoying methods in drone decoying technology,and then provides theoretical basis and decision support for the effective implementation of drone anti-spoofing and in-depth research on drone deflection technology.Specific research efforts include:(1)To study and analyze the principles of interference and reaction of UAV navigation system.The UAV navigation system is based on the longitude,latitude and time of the UAV provided by the GNSS receiver,compared with the general navigation system,the UAV navigation depends on the accuracy and real-time performance of the navigation receiver,therefore,this paper in-depth study of the GNSS positioning principle,while analyzing the GNSS deception interference principle and analysis of the deception signal generation principle and the deception signal capture and tracking principle,for the further analysis and research of drone decoy technology has laid a solid foundation.(2)Drone deflecting method based on fusion LSTM-EKF.In order to reduce the signal time delay between the generation of drone deceptive signal and the reception signal of the drone navigation receiver,this paper innovatively establishes the UAV speed vector deception model,and puts forward a UAV deflecting strategy to realize the effective defleument of the UAV;The prediction results are optimized by expanding Kalman filtering ability to deal with nonlinear problems,and the flight trajectory of the UAV is effectively predicted,the evaluation index of UAV cheating performance is further established,and the cheating rate of LSTM-EKF model is higher than LSTM algorithm 2.02% and 11.72% higher than BP neural network.(3)Building a drone deception hardware and software platform.To realize the anti-bias of the UAV,the hardware system and software platform of the UAV deception are constructed,which provide the conditions for the effective deception of the UAV,and in order to avoid the effective deception of the UAV in the no-fly zone,a method of the UAV inducement based on angle inducement is proposed.