A time-dependent LMS algorithm for adaptive filtering

Lau, Y, Hussain, Z and Harris, R 2004, 'A time-dependent LMS algorithm for adaptive filtering', WSEAS Transactions on Circuits and Systems, vol. 3, no. 1, pp. 35-42.


Document type: Journal Article
Collection: Journal Articles

Title A time-dependent LMS algorithm for adaptive filtering
Author(s) Lau, Y
Hussain, Z
Harris, R
Year 2004
Journal name WSEAS Transactions on Circuits and Systems
Volume number 3
Issue number 1
Start page 35
End page 42
Total pages 8
Publisher World Scientific and Engineering Academy and Society
Abstract A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. The approach utilizes the conventional LMS algorithm with a time-varying convergence parameter μ n rather than a fixed convergence parameter μ. It is shown that the proposed time-varying LMS algorithm (TV-LMS) provides reduced mean-squared error and also leads to a faster convergence as compared to the conventional fixed parameter LMS algorithm. This paper presents a performance study for the proposed TV-LMS algorithm and other two main adaptive approaches: the least-mean square (LMS) algorithm and the recursive least-squares (RLS) algorithm. These algorithms have been tested for noise reduction and estimation in single-tone sinusoids and nonlinear narrow-band FM signals corrupted by additive white Gaussian noise. The study shows that the TV-LMS algorithm has a computation time close to conventional LMS algorithm with the advantages of faster convergence time and reduced mean-squared error.
Subject Broadband and Modem Technology
ISSN 1109-2734
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