Research On Jammer Source Positioning Methods In UAV Networks

In recent years,with the continuous development of communication technology,computer technology and innovative research in artificial intelligence,UAV industry has achieved rapid development,and has received extensive attentions and applications in aerial photography,agriculture,rescue,and military fields.However,with the continuous development of the UAV industry,vicious incidents in which UAV networks being attacked by malicious jammer often occur.The problem of jammer hinders the development of the civilian UAV industry,which makes it increasingly important to resist jammer.Therefore,this thesis mainly focuses on idle nodes in UAV networks,studies the estimation of the location of the jammer source in the UAV network based on the classical UAV network target positioning method,and provides new ideas and methods for the anti-jamming approaches.The main research contents and contributions are summarized below.Firstly,for the scenario where the jammer source is relatively close to the UAV network,the thesis first establishes a positioning model based on the time difference and direction angle of the received specific detection signal transmitted actively by other idle nodes.Based on the established model,preliminary estimation of the position of the jammer source using spherical coordinates is proposed.Finally,an jammer source positioning method is proposed based on the discrete trajectory curvature of the jammer source space designed in this thesis.Simulation results show that compared with the target positioning method in traditional UAV networks,the algorithm can improve the jammer source positioning accuracy to more than 53.28%,and significantly improve the positioning performance.Secondly,for the scenario where the jammer source is far away from the UAV network,the passive jammer signal positioning model is established by using the time difference that the jammer arriving at different UAVs.Then,based on the established passive positioning model,a preliminary estimation of the location of the jammer source using the least square method is proposed.Finally,by using the preliminary position estimation of the jammer source as the input of the extended Kalman filter,a joint jammer source location algorithm suitable for long-range scenario.Simulation results show that the joint positioning method can improve the accuracy of the jammer source positioning by more than 15.93%,which has obvious advantage when the jammer source is far away from the UAV network.In this thesis,for the scenario where the distance between the jammer source and the UAV network is different,corresponding jammer source positioning methods in the UAV network are proposed.These methods can effectively obtain the spatial location of the jammer source in real time,further improving the flexibility of anti-jammer measures.