A New Variable Tap-Length LMS Algorithm to Model an Exponential Decay Impulse Response

Author

Zhang, Yonggang ; Chambers, Jonathon A. ; Sanei, Saeid ; Kendrick, Paul ; Cox, Trevor J.

Author_Institution

Sch. of Eng., Cardiff Univ.

Volume

14

Issue

4

fYear

2007

fDate

4/1/2007 12:00:00 AM

Firstpage

263

Lastpage

266

Abstract

This letter proposes a new variable tap-length least-mean-square (LMS) algorithm for applications in which the unknown filter impulse response sequence has an exponential decay envelope. The algorithm is designed to minimize the mean-square deviation (MSD) between the optimal and adaptive filter weight vectors at each iteration. Simulation results show the proposed algorithm has a faster convergence rate as compared with the fixed tap-length LMS algorithm and is robust to the initial tap-length choice

Keywords

adaptive filters; iterative methods; least mean squares methods; transient response; MSD; adaptive filter weight vector; exponential decay impulse response; iteration method; least-mean-square; mean-square deviation; variable tap-length LMS algorithm; Acoustical engineering; Adaptive filters; Algorithm design and analysis; Computational complexity; Convergence; Finite impulse response filter; Helium; Least squares approximation; Robustness; Signal processing algorithms; Adaptive filters; variable tap-length least-mean-square (LMS) algorithm;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.887784

Filename

4130411