Presentation 2002/4/12
An Improved NLMS Algorithm for Channel Equalization
Yusuke TSUDA, Tetsuya SHIMAMURA,
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Abstract(in English) A novel adaptive algorithm has been proposed that provides faster convergence than the least mean square (LMS) and normalized LMS (NLMS) algorithms. In the proposed algorithm, the error sequence is used for designing the step size parameter at each iteration. A strategy to reduce the computational complexity required in the NLMS adaptation is also used. Convergence analysis of the proposed algorithm is made in a comparative fashion to the NLMS algorithm. Computer simulations demonstrate that in the scenario of channel equalization, the proposed algorithm based on the structure of a transversal filter accomplishes faster start-up than the combined LMS/F algorithm recently addressed.
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Keyword(in English) channel equalization / adaptive filter / LMS algorithm / normalizad LMS algorithm
Paper # DSP2002-11
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Conference Information
Committee DSP
Conference Date 2002/4/12(1days)
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Paper Information
Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Improved NLMS Algorithm for Channel Equalization
Sub Title (in English)
Keyword(1) channel equalization
Keyword(2) adaptive filter
Keyword(3) LMS algorithm
Keyword(4) normalizad LMS algorithm
1st Author's Name Yusuke TSUDA
1st Author's Affiliation Graduate School of Science and Engineering, Saitama University()
2nd Author's Name Tetsuya SHIMAMURA
2nd Author's Affiliation Graduate School of Science and Engineering, Saitama University
Date 2002/4/12
Paper # DSP2002-11
Volume (vol) vol.102
Number (no) 14
Page pp.pp.-
#Pages 6
Date of Issue