Research On UAV Swarm Track Deception Jamming Against To Network Radar

Network radar gets excellent performance in target monitoring and the anti-interference.How to implement effective electronic interference/jamming against network radars is one of the hot points in the research of electronic countermeasures.Unmanned Aerial Vehicle(UAV)swarm have attracted widespread attention across the world for their high flexibility,wide adaptability and controllability resources in electronic jamming applications.The use of UAV swarm to interfere with networked radars can influence or even mislead the judgement of the network radar,enhance our gaming advantage and gain more initiative in tactics.Based on this requirement,it has a great strategic significance to study the track deception jamming of network radar by UAV swarm.Track deception is an advanced form of deceptive jamming,in which the signal is delayed and forwarding with the support of the DRFM loaded in the UAV,and then cooperates with the UAV’s flight track to form a false track to deceive the network radar and achieves effective jamming.Therefore,it has a great strategic significance to study the track deception jamming of network radar by UAV swarm.The main research elements are as follows:(1)Research in Spatial track deception jamming by UAV coordination in a network radar coverage environment.First,the technical requirements of track deception jamming are introduced;second,the mathematical model of single UAV versus single radar track deception jamming is established and derived,then the coupling relationship between UAV and false target and the state transition relationship under multi-aircraft cooperation are studied and analyzed.Finally,the multi-aircraft cooperative track deception optimal control model is established.Finally,the Particle Swarm Algorithm is used to solve the model.Then the simulations are carried out for the cases of single UAV spoofing a single radar and multiple UAVs spoofing a network radar respectively.The planned track was closer to the actual flight of the UAV than before the application of the model,which proves the feasibility of the track spoofing method.(2)In this paper,the way to generate False track generation of UAV swarm under network radar environment is established.The main objective is to minimize the number of UAVs generating a given false track.Thus,to ensure effective jamming versus the network radar.First,this paper describe and analysis a scenario in which a minimum number of UAV are used to generate a false target;Then try to establish a kinematic model for cooperative multi-UAV jamming of a networked radar based on the dynamic geometric relationship between the radar;the UAVs and the false target in combination with the motion constraints of the UAVs;Finally,the use of a Particle Swarm Algorithm to solve the model.After minimizing the number of UAVs,the algorithm gives the cooperative speed,tracks and altitude of each UAV,and analyses the effective interference of the UAVs.Through the research,the paper analyses a reasonable cooperative motion strategy for the UAV to jam the network radar effectively.