DocumentCode :
2517524
Title :
Blind equalization-combinations of Bussgang- and higher-order-statistics-based methods
Author :
Herrmann, F. ; Nandi, A.K.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
fYear :
1997
fDate :
35732
Firstpage :
42705
Lastpage :
42710
Abstract :
A new generation of higher-order-statistics (HOS) based blind equalization techniques, like the eigenvector algorithm (EVA) published in 1997 by B. Jelonnek, D. Boss and K.-D. Kammeyer, leads to a much better performance. In this paper these techniques are used to initialize a conventionally Bussgang algorithm. The purpose is to show, through simulations, that combinations of both techniques have the ability to improve the equalization quality and to reduce the computational complexity as well. Also, we consider the modifications of these algorithms for the application of a fractionally-spaced (FTS) equalizer
Keywords :
adaptive equalisers; Bussgang algorithm; adaptive equalization; blind equalization; computational complexity reduction; eigenvector algorithm; fractionally spaced equalizer; higher order statistics; maximum kurtosis criterion; performance; simulations;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Adaptive Signal Processing for Mobile Communication Systems (Ref. No. 1997/383), IEE Colloquium on
Conference_Location :
London
Type :
conf
DOI :
10.1049/ic:19971318
Filename :
668644
Link To Document :
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