Self-defensive Deception Jamming Suppression Algorithm Based on Relative Quasi-Newton Method
The self-defensive deception jamming signal is highly similar to the target signal,and the arrival angles of both are exact-ly the same,so it is difficult for the traditional main-lobe jamming suppression algorithm to suppress it.In this paper,a blind source separation algorithm based on the relative quasi-Newton method is proposed to solve this problem for the polarization single input multiple output(PSIMO)radar system.At first,the algorithm explores the difference in polarization characteristics between the jamming and target to create an overlapping subarray structure for calculating the joint autocorrelation matrix.Then,the separa-tion matrix is estimated using the relative quasi-Newton method,resulting in a separation between the jamming and target signals on different channels and the suppression of interference.The simulation results indicate that the algorithm suppresses self-defensive deception jamming effectively,and has excellent interference suppression performance in low signal to noise ratio(SNR)and dense interference scenarios.Furthermore,even when the input SNR is-10 dB,the output target detection probability still reaches 51.6,showing strong robustness.
万方数据
维普
