A stochastic subspace algorithm for blind channel identification in noise fields with unknown spatial color

被引：1

作者：

Vandaele, P ^{[1
]}

Moonen, M ^{[1
]}

机构：

[1] Katholieke Univ Leuven, ESAT, B-3001 Heverlee, Belgium

来源：

ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI | 1999年

关键词：

D O I：

10.1109/ICASSP.1999.761234

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Tn this paper, the blind channel identification problem is formulated in a stochastic state space framework. Starting from a state space model we present a preprocessing step based on two orthogonal subspace projections. Using these orthogonal projections, we derive an algorithm for blind channel estimation which is insensitive to the spatial color of the noise. The performance of this new algorithm is demonstrated through simulation examples.

引用

页码：2619 / 2622

页数：4

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