Presentation 2005-04-22
Channel Estimation Based Classification Approaches to Equalization of Time Variant Multipath Channels
Yoshihiro TSUTSUMI, Yusuke TSUDA, Tetsuya SHIMAMURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) For the purpose of equalization of rapidly time variant multipath channels, we derive novel adaptation schemes based on the least mean square (LMS) algorithm. In two methods proposed in this paper, instead of a coefficient vector, a coefficient matrix is prepared for a linear transversal equalizer (LTE). Based on the estimated channel impulse response, the equalizer coefficients are selected and updated by the LMS algorithm. Computer simulation results show that with a small increase of computation, the proposed methods outperform the amplitude banded LMS equalizer recently addressed in high fade rate conditions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) adaptive equalization / time variant multipath channels
Paper # SIP2005-9,IE2005-9
Date of Issue

Conference Information
Committee IE
Conference Date 2005/4/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Channel Estimation Based Classification Approaches to Equalization of Time Variant Multipath Channels
Sub Title (in English)
Keyword(1) adaptive equalization
Keyword(2) time variant multipath channels
1st Author's Name Yoshihiro TSUTSUMI
1st Author's Affiliation Department of Information and Computer Sciences, Saitama University()
2nd Author's Name Yusuke TSUDA
2nd Author's Affiliation Department of Information and Computer Sciences, Saitama University
3rd Author's Name Tetsuya SHIMAMURA
3rd Author's Affiliation Department of Information and Computer Sciences, Saitama University
Date 2005-04-22
Paper # SIP2005-9,IE2005-9
Volume (vol) vol.105
Number (no) 30
Page pp.pp.-
#Pages 6
Date of Issue