LIU Zheng-ping, CHEN Ming-kui. Blind signal separation based on second order statistics[J]. 2007, (5): 33-35+39. DOI: 10.13873/j.1000-97872007.05.014.
基于二阶统计量的盲信号分离
摘要
研究讨论了一种只利用信号的二阶统计量来分离盲源信号的方法。该方法先估计传感器信号的相关矩阵
通过对其进行特征值分解
可以得到信号的主特征值和特征向量。同时可通过奇异值分解来得到预白化后的时滞信号的奇异值
利用这些信息来估计源信号。仿真结果表明:该方法计算工作量少
对多个盲混合信号有良好的分离性能。
Abstract
A method is discussed to separate blind source signals only based on second order statistics.The first step is to estimate the relation matrix of the sensor signals
getting main eigenvalues and the corresponding eigenvectors of signals through eigenvalue decomposition.Simultaneity
the singular values of the pre-whited time-delayed signals can be obtained by way of singular value decomposition.Applying these informations
the separated signals can be estimated.The simulations show that the algorithm has low computing cost and good separation performance to the blind mixed signals.