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A New Adaptive Algorithm Focused on the Convergence Characteristics by Colored Input Signal: Variable Tap Length KMS

Tsuyoshi USAGAWA, Hideki MATSUO, Yuji MORITA, Masanao EBATA

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Summary :

This paper proposes a new adaptive algorithm of the FIR type digital filter for an acoustic echo canceller and similar application fields. Unlike an echo canceller for line, an acoustic echo canceller requires a large number of taps, and it must work appropriately while it is driven by colored input signal. By controlling the filter tap length and updating filter coefficients multiple times during a single sampling interval, the proposed algorithm improves the convergence characteristics of adaptation even if colored input signal is introduced. This algorithm is maned VT-LMS after variable tap length LMS. The results of simulation show the effectiveness of the proposed algorithm not only for white noise but also for colored input signal such as speech. The VT-LMS algorithm has better convergence characteristice with very little extra computational load compared to the conventional algorithm.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E75-A No.11 pp.1493-1499
Publication Date
1992/11/25
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Acoustic System Modeling and Signal Processing)
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