A robust NLMS algorithm for acoustic echo cancellation

When an adaptive filter is applied for an acoustic echo canceler, realization of robustness in the presence of double talk is an important subject. In this paper, based on M‐estimation, a robust statistical technique, a cost function expressing the normalized least‐mean‐square algorithm (NLMS), is m...

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Published inElectronics & communications in Japan. Part 3, Fundamental electronic science Vol. 89; no. 11; pp. 1 - 9
Main Authors Shimauchi, Suehiro, Haneda, Yoichi, Kataoka, Akitoshi
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.11.2006
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ISSN1042-0967
1520-6440
DOI10.1002/ecjc.20223

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Summary:When an adaptive filter is applied for an acoustic echo canceler, realization of robustness in the presence of double talk is an important subject. In this paper, based on M‐estimation, a robust statistical technique, a cost function expressing the normalized least‐mean‐square algorithm (NLMS), is modified to derive the gradient‐limited NLMS (GL‐NLMS) algorithm. This technique makes use of the statistical characteristic that the ratio of the error and reference signal levels has different distributions during single talk and double talk. The gradient used for updating in the NLMS algorithm is limited to a nonlinear form, so high robustness against double talk is achieved. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 89(11): 1–9, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20223
Bibliography:istex:5FAE2F21F7A950E7BF6AC9E3615BEB61B5D010BF
ark:/67375/WNG-L1916B1G-6
ArticleID:ECJC20223
ISSN:1042-0967
1520-6440
DOI:10.1002/ecjc.20223