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An improved VSS NLMS algorithm for active noise cancellation

  • Harbin Institute of Technology Shenzhen

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

Abstract

In this paper, an improved variable step size NLMS algorithm is proposed. NLMS has fast convergence rate and low steady state error compared to other traditional adaptive filtering algorithm. But there is a contradiction between the convergence speed and steady state error that affect the performance of the NLMS algorithm. Now, we propose a new variable step size NLMS algorithm. It dynamically changes the step size according to current error and iteration times. The proposed algorithm has simple formulation and easily setting parameters, and effectively solves the contradiction in NLMS. The simulation results show that the proposed algorithm has a good tracking ability, fast convergence rate and low steady state error simultaneously.

Original languageEnglish
Title of host publicationGreen Energy and Sustainable Development I
Subtitle of host publicationProceedings of the International Conference on Green Energy and Sustainable Development, GESD 2017
EditorsJun Xiao, Lin Liu, Jianfeng Ke
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735415423
DOIs
StatePublished - 31 Jul 2017
Externally publishedYes
Event2017 International Conference on Green Energy and Sustainable Development, GESD 2017 - Chongqing City, China
Duration: 27 May 201728 May 2017

Publication series

NameAIP Conference Proceedings
Volume1864
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2017 International Conference on Green Energy and Sustainable Development, GESD 2017
Country/TerritoryChina
CityChongqing City
Period27/05/1728/05/17

Keywords

  • Active Noise Control
  • Iteration Times
  • Variable Step Size
  • new VSS-NLMS

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