A narrowband approach to blind source separation in convolutive MIMO mixtures

被引：0
|
作者：
Affes, Sofiene [1 ]
Souden, Mehrez [1 ]
Benesty, Jacob [1 ]
机构：
[1] Univ Quebec, INRS EMT, Montreal, PQ H3C 3P8, Canada
来源：
2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this contribution, we adopt a novel and simple narrowband approach to blind separation of mutually independent and temporally i.i.d. sources in convolutive MIMO mixtures. After remodelling the observation at the sensor array as an instantaneous mixture where the delayed replicas of the desired signals from multipath propagation are seen as separate sources independent of each other, we estimate them all in an analysis step by a conventional narrowband blind source separation (BSS) technique. In a synthesis step, we match the delayed replicas of each source based on cross-correlation then combine them after proper time & phase alignments and weighting. In the process, this multipath matching and combining procedure identifies the convolutive MIMO channel and is able to provide accurate expressions for direct blind deconvolution (BD) equalizers. Simulations support the efficiency of the new narrowband approach to BD.
引用
收藏
页码：1377 / 1380
页数：4
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