A new method for active noise control systems with online acoustic-feedback-path modeling

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a new method for online modeling of the acoustic feedback path in active noise control (ANC) systems. The proposed method comprises three adaptive filters: 1) the FxLMS algorithm based noise control filter, 2) a variable step size (VSS) LMS algorithm based feedback path modeling (FBPM) filter, and 3) LMS algorithm based adaptive noise cancelation (ADNC) filter. The ADNC filter removes the disturbance from the desired response of FBPM filter. The disturbance signal in FBPM filter is thus decreasing in nature, (ideally) converging to zero. This gives basic idea for the VSS LMS algorithm for FBPM filter: a small step size is used initially and later its value is increased accordingly. The computer simulations show that the proposed method can reduce FBPM error at a faster convergence rate than the existing methods.

Original languageEnglish
Title of host publicationIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
Publication statusPublished - Dec 1 2006
EventIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan
Duration: Apr 22 2006Apr 23 2006

Publication series

NameIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Conference

ConferenceIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
CountryPakistan
CityIslamabad
Period4/22/064/23/06

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Akhtar, M. T., Abe, M., & Kawamata, M. (2006). A new method for active noise control systems with online acoustic-feedback-path modeling. In IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 [1703214] (IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006).