An efficient and effective variable step size NLMS algorithm

Hideki Takekawa, Tetsuya Shimamura, Shihab Jimaa

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

14 Scopus citations

Abstract

Using the least-mean-square (LMS) and the normalized LMS (NLMS) algorithms, the adaptive filter usually results in a trade-off between the convergence speed and adaptation precision. Recently, in order to resolve this problem, several variable step size NLMS (VSS-NLMS) algorithms that provide faster convergence than the LMS and NLMS have been proposed. This paper presents a new VSS-NLMS algorithm that is simple, but possesses, good characteristics. In the proposed algorithm, the input power and error signals are used to design the step size parameter at each iteration. Simulation results demonstrate that in the scenario of channel equalization, the proposed algorithm accomplishes faster start-up and gives better precision than the conventional algorithms.

Original languageBritish English
Title of host publication2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages1640-1643
Number of pages4
DOIs
StatePublished - 2008
Event2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States
Duration: 26 Oct 200829 Oct 2008

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Country/TerritoryUnited States
CityPacific Grove, CA
Period26/10/0829/10/08

Keywords

  • Adaptive filters
  • Channel equalization
  • LMS
  • Variable step size

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