A modified normalized FxLMS algorithm for active control of impulsive noise

Muhammad Tahir Akhtar, Wataru Mitsuhashi

Research output: Contribution to journalConference articlepeer-review

25 Citations (Scopus)

Abstract

In this paper we consider active noise control (ANC) of impulsive noise having peaky distribution with heavy tail. Such impulsive noise can be modeled using non- Gaussian stable process for which second order moments do not exist. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on second order moment of error signal, and hence, becomes unstable for the impulsive noise. Previously, a modified-FxLMS algorithm has been proposed, where the reference signal used in update equation is modified on the basis of the thresholding parameters. In the practical ANC systems, these thresholding parameters need to be estimated offline and cannot be updated during online operation of ANC systems. In this paper we propose an ad hoc basis normalized FxLMS algorithm for ANC of impulsive noise sources, which does not require any thresholding. The computer simulations are carried out to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalEuropean Signal Processing Conference
Publication statusPublished - Dec 1 2010
Event18th European Signal Processing Conference, EUSIPCO 2010 - Aalborg, Denmark
Duration: Aug 23 2010Aug 27 2010

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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