基于时频单源点检测的雷达信号的盲分选

针对欠定条件下的雷达信号分选问题,提出一种基于时频单源点检测的雷达信号盲分选算法,该分选算法的创新点在于将雷达信号由时域转移到时频域进行分析.在时频域内,雷达信号具有一定的稀疏性,有助于实现信号盲分选,给出了基于时频单源点检测的雷达信号盲分选算法的具体步骤.该方法能够有效解决欠定条件下雷达信号盲分选问题,将其应用于雷达信号分选领域,具有一定的军事应用价值.仿真测试结果表明了该方法的可行性与优越性.

Blind separation of radar signals based on detection of time frequency single source point

A blind separation algorithm based on detection of time frequency is proposed in this paper, in order to solve the problems of underdetermined radar signal sorting. The innovation point of this algorithm is that it shifts radar signals from time zone to time frequency zone then analyzes them. Firstly, 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. The proposed method can solve the problem of radar signals sorting in underdetermined condition and has considerable applicantion value for military use. The simulation experiments prove the feasibility and superiority of the algorithm.