Blind Separation of Radar Signals Based on Detection of Time Frequency Single Source Point

Abstract

Radar signal sorting is a key part of radar reconnaissance. A blind separation algorithm based on detection of time frequency is proposed in this paper and the problems of underdetermined radar signal sorting can be solved effectively. Firstly, the method is that single source point of each radar source signal was detected. Then; the mixing vector in the corresponding single source point set was estimated by Singular Value Decomposition (SVD). Finally, the mixing matrix simultaneously were estimated by the cluster validation technique based on k-means clustering algorithm, and the radar signals can be got by the mixing matrix and the observed signals. Each time domain waveform of radar source can be sorted based on this method, the time frequency graphs of radar signal can be got and the whole radar signal sorting process is accomplished.