基于两步单源点筛选的改进退化解混和估计算法OA北大核心CSTPCD

The degenerate unmixing estimation technique(DUET)algorithm is a typical underdetermined blind source separation algorithm.However,as a binary time-frequency mask-based method,DUET erroneously results in some interference signals retention.This paper proposes an improved DUET algorithm based on two-step single-source point screening.The cosine angle algorithm is used for the first-step single-source point screening,and then a similarity calculation method is employed for the second-step single-source point screening.After obtaining more accurate target and interference signals through two-step single-source point screening,the filter designed to cancel the interference signals replaces the binary time-frequency mask of DUET,achieving interference signal suppression and target signal extraction.Simulation results show that the proposed method has good performance in both positive definite and underdetermined blind source separation.