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
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