Research On Receiver And Transmitter Isolation Technology Of Jammer Based On Sparse System Identification

With the rapid development of electronic warfare equipment,modern jamming systems require the ability to detect and interfere at the same time.However,for the jammer working at the same time,the interference signals will reach the receiving end through all kinds of coupling,especially for the jammer installed on the small platform,this phenomenon is very obvious,and even cause self-excitation in serious cases.Therefore,it is of great significance to study the transceiver isolation technology of jammer to realize the simultaneous work of jammer transceiver.In this thesis,the research is carried out from the point of view of system identification,the main work is as follows:Firstly,in order to solve the problem of system identification in static sparse coupling environment,an off-line identification algorithm based on sparse regularization constraint is proposed in order to improve the sparse tendency of identification parameters by adding constraint function.Then,in order to reduce the power demand of the detection signal and improve the stability of the algorithm,the identification algorithm under the low detection signal-to-noise ratio and the identification algorithm adapted to the sparsity change are proposed respectively.Secondly,in order to reduce the data storage capacity requirements of the algorithm,a robust sparse online identification algorithm is proposed.The algorithm combines the optimized sparse constraints and a mature variable step length technique,which ensures the convergence rate of non-zero elements and improves the convergence accuracy.Thirdly,in order to solve the problem of system identification in dynamic sparse coupling environment,two common parameters change models are considered,and the identification algorithms based on sparse catastrophe environment and sparse Gaussian-Markov model are proposed respectively.