A variable step size based method for online secondary path modeling in active noise control system

Shakeel Ahmed, Muhammad Tahir Akhtar, Muhammad Tufail

Research output: Contribution to conferencePaperpeer-review

Abstract

Online secondary path modeling with higher modeling accuracy and faster convergence is desirable in active noise control systems. This paper proposes a method based on variable step size LMS algorithm for modeling filter and FxLMS algorithm for noise control filter. The proposed idea uses a novel three stage approach for step size selection of modeling filter in order to improve the performance of secondary path modeling. Consequently, a faster initial convergence and reduced steady state error are achieved in comparison with existing online secondary path modeling methods. The computational complexity of the proposed method is comparable with the existing methods which uses only two adaptive filters for ANC with online secondary path modeling. The performance of the proposed method is verified through computer simulation.

Original languageEnglish
Pages549-554
Number of pages6
Publication statusPublished - Dec 1 2010
Event2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore
Duration: Dec 14 2010Dec 17 2010

Conference

Conference2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
CountrySingapore
CityBiopolis
Period12/14/1012/17/10

Keywords

  • Active noise control
  • FxLMS algorithm
  • Online secondary path modeling
  • Variable step size least mean square (VSS-LMS) algorithm

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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