Effect of colored noise on the performance of LMS adaptive equalizers and predictors

Author

Umari, M.H.

Author_Institution

Dept. of Electr. Eng., Pennnsylvania State Univ., University Park, PA, USA

Volume

5

fYear

1992

fDate

10-13 May 1992

Firstpage

2565

Abstract

The effect of colored noise on the performance of the least-mean-square algorithm is investigated in two different applications: adaptive equalization and adaptive prediction. In both cases, the input signal usually consists of a signal component and a noise component that may be white or colored. In adaptive equalization, the desired signal is usually noise-free while in adaptive prediction the desired signal is a delayed version of the input signal. For both cases, expressions are obtained to show the effect of colored noise on the average weight coefficients, the minimum mean-square error, and the average steady state mean-square error. A comparison is made between the effect of colored noise on the performance of the algorithm and the effect of white noise

Keywords

equalisers; filtering and prediction theory; least squares approximations; white noise; LMS adaptive equalizers; adaptive prediction; average weight coefficients; colored noise; input signal; least-mean-square algorithm; minimum mean-square error; noise component; signal component; steady state mean-square error; white noise; Adaptive equalizers; Adaptive filters; Colored noise; Delay; Eigenvalues and eigenfunctions; Least squares approximation; Noise cancellation; Steady-state; White noise; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0593-0

Type

conf

DOI

10.1109/ISCAS.1992.230462

Filename

230462