Blind source separation based on high-resolution time-frequency distributions

被引：8

作者：

Guo, Jing ^{[1
,3
]}

Zeng, Xiaoping ^{[3
]}

She, Zhishun ^{[2
]}

机构：

[1] Southwest Univ, Sch Elect & Informat Engn, Chongqing 400715, Peoples R China

[2] Univ Wales, Glyndwr Univ, Dept Engn, Bangor LL11 2AW, Gwynedd, Wales

[3] Chongqing Univ, Coll Commun Engn, Chongqing 400044, Peoples R China

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2012年 / 38卷 / 01期

基金：

中国国家自然科学基金;

关键词：

SIGNAL SEPARATION;

D O I：

10.1016/j.compeleceng.2011.12.002

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Blind source separation (BSS) based on time-frequency distributions (TFDs) exploits the underlying diagonal or off-diagonal structure of TFD matrices to separate the source signals. In this paper, we propose a new signal-independent kernel which is defined in both the time-lag and the Doppler-lag domain and satisfies most of the desirable properties of a TFD. The main objective of this research is to achieve the high resolution and the maximum cross-term reduction with the preferable diagonal or off-diagonal structure of TFD matrices in BSS applications. Moreover, a BSS approach is developed which includes first whitening mixed signals, then constructing a set of TFD matrices using the proposed TFD and the Hough transform, finally a joint diagonalization of a combined set of TFD matrices to estimate the mixing matrix and the source signals. By use of the techniques proposed in this paper, the improved performance of BSS of nonstationary signals has been achieved. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：175 / 184

页数：10

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