Tactical Missile Technology

Aiming at the high density non stationary radar signal convolution mixed problem under the complex electromagnetic environment. First of all,establish the frequency domain blind separation model,then by the use of sparse decomposition,mixed signal is decomposed into time-frequency sparce unit,again using the separated signal envelope to describe the unit activity,so the signal was segmented,and because it was based on the respective advantages and disadvantages of azimuth estimation and correlation coefficient method,the algorithm make the best optimization in the accuracy and robustness of each section for solving the frequency rearrangement problem of frequency domain convolutive blind source separation. Simulation evaluate the quality of the algorithm from points of view of the correlation coefficient and error indicators of separated signal and put forward the algorithm complex degree of problems. The results show that,the algorithm in this paper can greatly improve the signal separating effect and high reliability,which is suitable for separating non stationary system of complex radar signal.