Non-Wiener effects in LMS-implemented adaptive equalizers

Author

Reuter, Michael ; Zeidler, James

Author_Institution

Naval Command, Control & Ocean Surveillance Center, San Diego, CA, USA

Volume

3

fYear

1997

fDate

21-24 Apr 1997

Firstpage

2509

Abstract

An adaptive transversal equalizer based upon the least-mean-square (LMS) algorithm, operating in an environment with temporally correlated interference can exhibit better steady-state mean-square-error (MSE) performance than the corresponding Wiener filter. This phenomenon is a result of the nonlinear nature of the LMS algorithm and is obscured by traditional analysis approaches that utilize the independence assumption. We use a transfer function approach to quantify the MSE performance of the LMS algorithm and demonstrate that the degree to which LMS may outperform the corresponding Wiener filter is dependent on system parameters such as signal-to-noise ratio and the step-size parameter

Keywords

adaptive equalisers; interference suppression; least mean squares methods; transfer functions; LMS-implemented adaptive equalizers; MSE performance; Wiener filter; adaptive transversal equalizer; least-mean-square algorithm; nonWiener effects; signal-to-noise ratio; steady-state mean-square-error performance; step-size parameter; temporally correlated interference; transfer function approach; Adaptive equalizers; Adaptive filters; Interference; Least squares approximation; Noise cancellation; Oceans; Steady-state; Surveillance; Transfer functions; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.599602

Filename

599602