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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| Published in | ETRI journal Vol. 34; no. 1; pp. 130 - 133 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
한국전자통신연구원
01.02.2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1225-6463 2233-7326 |
| DOI | 10.4218/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. |
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| Bibliography: | G704-001110.2012.34.1.007 |
| ISSN: | 1225-6463 2233-7326 |
| DOI: | 10.4218/etrij.12.0211.0118 |