Performance improvement of blind equalizers using the constant modulus algorithm

Author

Hull, Andrew W. ; Jenkins, W. Kenneth

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

fYear

1992

Firstpage

11

Abstract

A technique for orthogonalizing the update relation for steepest descent algorithms using pseudorandom (PR) modulation has been developed. It is shown that the application of PR modulation to the constant modulus algorithm (CMA) improves the rate of convergence and reduces the steady state misadjustment. Computer simulation results are presented to illustrate the performance improvement of blind equalization using the CMA with PR modulation

Keywords

adaptive filters; equalisers; filtering and prediction theory; signal processing; CMA; adaptive filters; blind equalization; constant modulus algorithm; convergence rate; pseudorandom modulation; steady state misadjustment; steepest descent algorithms; update relation orthogonalisation; Adaptive filters; Application software; Autocorrelation; Blind equalizers; Convergence; Eigenvalues and eigenfunctions; Filtering algorithms; Finite impulse response filter; Least squares approximation; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-3160-0

Type

conf

DOI

10.1109/ACSSC.1992.269267

Filename

269267