基于两步单源点筛选的改进退化解混和估计算法

Improved Degenerate Unmixing Estimation Technique Algorithm Based on Two-Step Single-Source Point Screening

退化解混和估计(Degenerate unmixing estimation technique,DUET)算法是一种典型的欠定盲源分离算法,其采用的二进制时频掩蔽会保留部分干扰信号。提出了基于两步单源点筛选的改进DUET算法,首先使用余弦角算法进行单源点筛选,再采用计算相似度的方法进行第二步单源点筛选。通过两步单源点筛选获得更精确的目标信号和干扰信号后,设计用于抵消干扰信号的滤波器取代DUET中的二进制时频掩蔽,达到抑制干扰信号和提取目标信号的目的。仿真实验结果表明,该方法在正定盲源分离和欠定盲源分离两种情况下都有较优的盲源分离性能。

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 firststep 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 twostep 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.