Convergence evaluation of variable step-size NLMS algorithm in adaptive channel equalization

S. A. Jimaa, A. Al-Simiri, R. M. Shubair, T. Shimamura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The use of two simple and robust variable step-size approaches in the adaptation process of the Normalized Least Mean Square (NLMS) algorithm (VSS-NLMS) in the adaptive channel equalization is investigated. The NLMS algorithm with a fixed step-size (FSS-NLMS) usually results in a trade-off between the residual error and the convergence speed of the algorithm. It is proved by computer simulation that the VSS-NLMS algorithms presented here eliminate much of this trade-off. In this paper the Mean-Square Error (MSE) performance of using the VSS-NLMS algorithms in the adaptation process of adaptive channel equalization is investigated. The step-size variation makes it possible for the VSS-NLMS algorithm to converge faster and to a lower steady state error than in the FSS-NLMS case.

Original languageBritish English
Title of host publicationIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
PublisherIEEE Computer Society
Pages145-150
Number of pages6
ISBN (Print)9781424459506
DOIs
StatePublished - 1 Dec 2009
Event9th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009 - Ajman, United Arab Emirates
Duration: 14 Dec 200916 Dec 2009

Publication series

NameIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009

Conference

Conference9th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
Country/TerritoryUnited Arab Emirates
CityAjman
Period14/12/0916/12/09

Keywords

  • Channel equalization
  • NLMS
  • Variable step-size

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