Presentation 2002/3/11
An Analysis of Dogancay-Kennedy Blind Equalization Algorithm using Channel Noise Statistics
Hideki YAGI, Manabu KOBAYASHI, Shigeichi HIRASAWA,
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Abstract(in English) One of the most prominent blind channel equalizer is Godard algorithm, which many researchers have been devoted to recently. Since the Godard algorithm has local minima, which leads to inferior equalization performance, recently, K. Dogancay and R. A. Kennedy have reformulated the Godard algorithm so that equalizer parameters converge globally and we can perform more robust way of equalization. In this paper, the equalization algorithm, which the equalization parameter is proved to control bias of estimator under the certain noise model, is proposed. Furthermore, an efficient adaptive implementation of the algorithm is proposed.
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Keyword(in English) blind equalization / adaptive equalization / linear estimation / least squares method
Paper # ISEC2001-104
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Committee ISEC
Conference Date 2002/3/11(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Analysis of Dogancay-Kennedy Blind Equalization Algorithm using Channel Noise Statistics
Sub Title (in English)
Keyword(1) blind equalization
Keyword(2) adaptive equalization
Keyword(3) linear estimation
Keyword(4) least squares method
1st Author's Name Hideki YAGI
1st Author's Affiliation Dep. of Industrial and Management Systems Engineering Waseda University()
2nd Author's Name Manabu KOBAYASHI
2nd Author's Affiliation Dep. of Industrial and Management Systems Engineering Waseda University
3rd Author's Name Shigeichi HIRASAWA
3rd Author's Affiliation Dep. of Industrial and Management Systems Engineering Waseda University
Date 2002/3/11
Paper # ISEC2001-104
Volume (vol) vol.101
Number (no) 727
Page pp.pp.-
#Pages 6
Date of Issue