Active Radar Jamming Adaptive Generation Method For Tracking Confrontation

Modern radars can automatically track maneuvering targets,manage resources adaptively,and significantly improve detection performance.The jamming of tracking radar has become an important research direction in the field of radar countermeasures.The existing jamming methods often follow relatively fixed parameters or laws,and their performance is seriously challenged,and the confrontation disadvantage with radar is more and more obvious.The radar active jamming based on the tracking confrontation realizes the linkage between jamming parameters and jamming patterns by iteratively learning the coupling between different stages of radar tracking,which can enhance the complementarity of different jamming patterns and the correlation of different jamming stages,which can effectively improve jamming performance.Based on the analysis of the tracking radar's processing of echoes and typical active jamming methods,this thesis focuses on the research on adaptive generation methods for range gate drag jamming and active compound jamming.The main work of the thesis is as follows:1.Firstly,the signal and data processing flow in radar tracking mode is analyzed;then,typical deceptive jamming such as range gate drag jamming,intermittent sampling forwarding jamming and noise suppression jamming patterns such as AM,FM,phase modulation and noise convolution are analyzed.And the mathematical representation model of active jamming combined with different jamming patterns is theoretically analyzed,which lays the foundation for the establishment of radar countermeasure environment.2.Aiming at the problem that the traditional range gate drag jamming strategy is fixed and the jamming performance of tracking radar is limited,an adaptive generation method of range gate drag jamming based on improved particle swarm algorithm is proposed.The maximum pull off distance is increased,and the pull off success rate is improved.3.Aiming at the two forms of suppression and deception compound jamming and multi-deception pattern jamming,each adaptive generation method of active compound jamming based on improved particle swarm algorithm is proposed.The intrinsic correlation information between jamming realizes the effect of "concealing the true target and showing the false target".The maximum pull off distance and pull off success rate of the methods obtained by the two compound styles are higher than those of the single range gate pull off jamming.The above algorithms have been validated by simulation experiments.