Variable tap-length adaptive algorithm which exploits both second and fourth order statistics

  • Yonggang Zhang*
  • , Leilei Li
  • , Jonathon A. Chambers
  • *Corresponding author for this work

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

Abstract

A new variable tap-length adaptive algorithm which exploits both second and fourth order statistics is proposed in this paper. In this algorithm, the tap-length of the adaptive filter is varying rather than fixed, and controlled by fourth order statistics, whereas the coefficient update retains a conventional least mean square (LMS) form. As will be seen in the simulation results, the proposed algorithm has a faster convergence rate as compared with an existing variable tap-length LMS algorithm which is based only on second order statistics in sub-Gaussian noise environments.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages223-226
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Conference

Conference2008 9th International Conference on Signal Processing, ICSP 2008
Country/TerritoryChina
CityBeijing
Period26/10/0829/10/08

Keywords

  • Adaptive filters
  • Fourth order statistics
  • LMS algorithm
  • Variable tap-length

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