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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
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1992/11/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Acoustic System Modeling and Signal Processing)
acoustic echo canceller, adaptive FIR filter, extension of NLMS, convergence by colored signal, variable tap length LMS,
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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.