Generalized Robust Multichannel Frequency‐Domain LMS Algorithms for Blind Channel Identification

Recently, several noise‐robust adaptive multichannel LMS algorithms have been proposed based on the spectral flatness of the estimated channel coefficients in the presence of additive noise. In this work, we propose a general form for the algorithms that integrates the existing algorithms into a com...

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Bibliographic Details
Published inETRI journal Vol. 34; no. 1; pp. 130 - 133
Main Authors Chung, Ikjoo, Clements, Mark A.
Format Journal Article
LanguageEnglish
Published 한국전자통신연구원 01.02.2012
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ISSN1225-6463
2233-7326
DOI10.4218/etrij.12.0211.0118

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Summary:Recently, several noise‐robust adaptive multichannel LMS algorithms have been proposed based on the spectral flatness of the estimated channel coefficients in the presence of additive noise. In this work, we propose a general form for the algorithms that integrates the existing algorithms into a common framework. Computer simulation results are presented and demonstrate that a new proposed algorithm gives better performance compared to existing algorithms in noisy environments.
Bibliography:G704-001110.2012.34.1.007
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.12.0211.0118