Research On Radar Jamming Method For Target Tracking

Electronic jamming can weaken the target tracking ability of the radar and improve the battlefield survival rate of aircraft by using suppression,deception and other means,which is a research hotspot in the field of electronic warfare(EW).Traditional radar electronic jamming methods rely on expert experience,coarse granularity,low degree of freedom,and it is difficult to cope with the increasingly advanced radar target tracking technology.The jamming method for radar target tracking,through the frame-by-frame fine design of jamming strategy,flexible assignment of jamming tasks,can release the degree of freedom of radar electronic jamming,and give full play to its potential against advanced radar target tracking.The current bottlenecks faced by this technology mainly include how to optimize the design of jamming strategy under the condition of lacking objective function algebraic expression and incomplete information,and how to realize the distributed task assignment of multi-node collaborative jamming.This dissertation focuses on these problems,and develops theoretical analysis,method research and simulation verification.The main innovations are as follows:1.A white-box range gate pull-off(RGPO)jamming method for single-station radar target tracking is proposed.According to the stochastic simulation optimization(SSO)theory,the local simulation model of the radar tracking system is established,and the optimization of RGPO jamming strategy is driven by using simulation experimental data,which solves the problem of constraints on the design of RGPO jamming strategy due to the lack of objective function algebraic expression.2.A black-box RGPO jamming method for single-station radar target tracking is proposed.According to the multi-mode estimation theory,a set of local sub-simulation models are constructed to fit the actual radar tracking model,then the performance of blackbox RGPO jamming is evaluated by multi-mode hybridization,which solves the problem of RGPO jamming performance evaluation under incomplete information.A black-box RGPO jamming strategy optimization algorithm base on the classical SSO architecture is proposed.By improving the efficiency of simulation experiments,the algorithm reduces the computational burden caused by RGPO jamming performance evaluation under incomplete information.3.A black-box RGPO jamming strategy optimization algorithm base on improved SSO architecture is proposed.The active learning surrogate model is used to improve the classical SSO architecture,solve the problem of computing resource competition between solution space exploration and candidate solution performance estimation.An efficient black-box RGPO jamming strategy optimization algorithm is proposed according to the improved SSO architecture,which improves the optimization efficiency of RGPO jamming strategy under incomplete information.4.A collaborative suppression jamming method for networked radar target tracking is proposed.Using the coalition formation game theory,the task assignment problem of the multi-node collaborative suppression jamming is transformed into an equivalent distributed optimization problem,and a distributed coalition formation based collaborative suppression jamming dynamic task assignment algorithm is proposed,which achieves the same performance of centralized algorithms while realizing computing efficiency improvement and network decentralization.The methods mentioned above have been verified by the experiments.The results show that these methods can effectively improve the jamming effect on radar target tracking.The research in this dissertation is an important supplement to the existing radar electronic jamming technology.