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Recursive Least-Squares Algorithms for Echo Cancellation - An Overview and Open Issues

Authors:
Camelia Elisei-Iliescu
Constantin Paleologu

Keywords: Adaptive filters; Echo cancellation; Recursive least-squares (RLS) algorithm.

Abstract:
The recursive least-squares (RLS) algorithm is very popular in many applications of adaptive filtering, especially due to its fast convergence rate. However, the computational complexity of this algorithm represents a major limitation in some applications that involve high length adaptive filters, like echo cancellation. Moreover, the specific features of this application require good tracking capabilities and double-talk robustness for the adaptive algorithm, which further implies an optimization process on its parameters. In case of most RLS-based algorithms, the performance can be controlled in terms of two main parameters, i.e., the forgetting factor and the regularization term. The goal of this paper is to outline the influence of these parameters on the overall performance of the RLS algorithms and to present several solutions to control their behavior, taking into account the specific requirements of echo cancellation application.

Pages: 87 to 91

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-546-3

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017