Title
Blind nonlinear channel identification based on higher order statistics using hybrid genetic algorithm
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 the computer simulations.
Year
DOI
Venue
2000
10.1109/ICSMC.2000.885027
IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
Keywords
Field
DocType
genetic algorithms,computer simulation,mobile communication,genetic engineering,training data,local minima,intersymbol interference,cost function,minimisation,cumulant
Intersymbol interference,Control theory,Computer science,Higher-order statistics,Algorithm,Maxima and minima,Theoretical computer science,Cumulant,Minimisation (psychology),Genetic algorithm,Mobile telephony,Nonlinear channel
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Shusuke Narieda1199.15
Yen-Wei Chen2720155.73
katsumi yamashita300.34