Research On Deception Of Radar Network Using Multiple Electronic Combat Air Vehicles

Through proper deployment of multiple radar sites,the networked radar forms a‘network’ that can collect and transmit observation information from each member radar,achieving complementary and verification of observation information between stations and significantly improving anti-interference capability.This has led to a significant reduction in the effectiveness of traditional deception jamming techniques against singlestation radars,posing a serious threat to traditional deception technology.In response to the problem of deception jamming against networked radars,this thesis considers the attacking scenario and uses multiple unmanned electronic combat air vehicles(ECAVs)to achieve range gate pull-off(RGPO)jamming against the networked radar to protect high-value attack target.This thesis focuses on the RGPO phantom track and ECAV control strategy,and conducts the following research:1.Research on the RGPO phantom track planning method for deception jamming against networked radars: In order to achieve the maximum protecting effect for highvalue attack target under the monitoring of networked radars,an RGPO phantom track optimization model is constructed;based on the difficulty of unknown motion noise and radar measurement noise in the movement process of the attack unit,a networked radarbased RGPO phantom track planning algorithm is proposed using a simulation optimization architecture,combined with particle swarm optimization and optimal computation allocation algorithm.Simulation experiments are conducted under constant speed,constant acceleration,and coordinated turning motion models of the target being protected,and the results show that the proposed method can reduce the tracking accuracy,increase the probability of tracking interruption,and perform better than traditional methods.2.Research on the control strategy planning method of ECAVs for phantom tracks against networked radars: In order to implement RGPO phantom tracks,an control strategy optimization model is constructed by combining completion degree of implementation of the phantom tracks and flight distance of ECAVs based on the line-ofsight guidance law;a tree-based optimal path search problem is converted from the optimization model through time and space dimension discretization and state transformation relationship of ECAVs,and an control strategy planning algorithm of ECAVs is proposed by combining single-player monte carlo tree search algorithm.Simulation experiments are conducted under scenarios of single phantom track and multiple phantom tracks,and the proposed method has advantages in completion degree of implementation of the phantom tracks and flight distance of ECAVs compared to existing methods.3.Research on the coordinated planning method of RGPO phantom tracks and control strategies of ECAVs against networked radars: In a scenario where the initial state and maneuverability of ECAVs are determined,an RGPO phantom track and ECAVs’ control strategy coordinated optimization model is constructed to improve RGPO jamming performance by analyzing the coordinated constraint relationship between phantom tracks and ECAVs in time and space;in view of the difficulty of nonlinear constraints that are difficult to express explicitly,the Deb criterion is used to evaluate phantom tracks,and an RGPO phantom track and ECAVs’ control strategy coordinated planning algorithm is proposed.Simulation experiments are conducted under different initial states and maneuvering abilities,and the results show that the proposed method can ensure RGPO jamming completion degree and improve jamming performance.