DocumentCode :
1737911
Title :
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
Link To Document :
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