Blind nonlinear channel identification based on higher order statistics using hybrid genetic algorithm

Author

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

Author_Institution

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

Volume

1

fYear

2000

fDate

2000

Firstpage

416

Abstract

A method with 4th-order cumulant is proposed for nonlinear channel identification. Compared with the conventional method which uses 3rd-order cumulant, the proposed method does not need to use any constraints. Since the cost function with higher order statistics has local minima, we also propose to use a hybrid genetic algorithm (GA) to minimize the cost function. The applicability of the proposed method is demonstrated by computer simulations

Keywords

blind equalisers; genetic algorithms; higher order statistics; intersymbol interference; minimisation; mobile communication; telecommunication channels; telecommunication computing; 4th-order cumulant; blind nonlinear channel identification; cost function; higher order statistics; hybrid GA; hybrid genetic algorithm; local minima; mobile communication channels; nonlinear intersymbol interference; Cost function; Digital communication; Educational institutions; Genetic algorithms; Genetic engineering; Higher order statistics; Intersymbol interference; Mobile communication; Systems engineering and theory; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2000 IEEE International Conference on

Conference_Location

Nashville, TN

ISSN

1062-922X

Print_ISBN

0-7803-6583-6

Type

conf

DOI

10.1109/ICSMC.2000.885027

Filename

885027