机构地区: 华南理工大学电子与信息学院
出 处: 《电子学报》 2010年第5期1028-1031,共4页
摘 要: 两步策略已成为欠定盲信号分离的基本方法,混叠矩阵的估计是源恢复的先决条件.本文针对非完全稀疏性情况,提出一个两步的盲提取方法.该方法先利用信号的单源区间样本,估计部分源的基矢量(混叠矩阵的列矢量),后最小干扰地提取所对应的源;除它所对应的基矢量外,它不依赖的其它的基矢量,故回避了混叠矩阵可识别的必要条件.几个仿真实验结果显示了该算法的性能和实用性. Two-step strategy has become a fundamental method for underdetermined blind signal separation and the estimation of mixing matrix is a prerequisite for the source' s recovery. This paper proposes a two-step blind source extraction method for incompletely sparse case. The approach firstly estimates the basis vectors (columns of matrix) of partial sources using single-source intervals and then extracts the corresponding sources with minimum interference;it doesn't depend on other basis vector except the corresponding basis vector, so it avoids the essential condition the matrix is recoverable. Several simulation experimental results demonstrate its performance and practices.