Blind nonlinear channel identification based on constrained hybrid genetic algorithm

Author

Chen, Yen-wei ; Narieda, Shusuke ; Yamashita, Katsumi

Author_Institution

Dept. of Electr. Eng., Ryukyus Univ., Okinawa, Japan

Volume

2

fYear

2001

fDate

2001

Firstpage

1253

Abstract

A method with higher-order cumulant fitting is proposed for nonlinear channel identification. Compared with the conventional method which uses 2nd-order cumulant as a constraint, the proposed method use 4th-order cumulant in order to smooth out the additive Gaussian noise. Since the cost function with higher order statistics has local minima, we also propose to use a simplex-genetic algorithm to minimize the cost function. The applicability of the proposed method is demonstrated by computer simulations

Keywords

Gaussian noise; Wiener filters; blind equalisers; genetic algorithms; higher order statistics; identification; intersymbol interference; moving average processes; smoothing methods; telecommunication channels; Wiener model; additive Gaussian noise smoothing; autocorrelation function; blind nonlinear channel identification; computer simulation; constrained hybrid genetic algorithm; cost function; digital communication; fourth-order cumulant; higher order statistics; higher-order cumulant fitting; local minima; moving average model; nonlinear system model; simplex-genetic algorithm; Additive noise; Cost function; Educational institutions; Gaussian noise; Genetic algorithms; Higher order statistics; Intersymbol interference; Linear systems; Nonlinear systems; Parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE

Conference_Location

Budapest

ISSN

1091-5281

Print_ISBN

0-7803-6646-8

Type

conf

DOI

10.1109/IMTC.2001.928276

Filename

928276