Fixed point analysis of the constant modulus algorithm

Author

Yousef, Nabil R. ; Sayed, Ali H.

Author_Institution

Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

2177

Abstract

The steady-state performance of adaptive equalizers can significantly vary when they are implemented in finite precision arithmetic, which makes it vital to analyze their performance in a quantized environment. We present a fixed point analysis for the steady-state mean square error (MSE) of a blind adaptive equalizer and the optimal value of the step-size that minimizes this MSE. Such expressions are useful for selecting the adequate wordlength of a blind equalizer to achieve a specific desired steady-state performance

Keywords

adaptive equalisers; blind equalisers; fixed point arithmetic; least mean squares methods; minimisation; signal sampling; blind adaptive equalizer; constant modulus algorithm; finite precision axithmetic; fixed point analysis; mean square error; minimum MSE; optimal step size; steady-state performance; wordlength; Adaptive equalizers; Adaptive systems; Algorithm design and analysis; Blind equalizers; Cost function; Mean square error methods; Nonlinear equations; Performance analysis; Steady-state; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940426

Filename

940426