Data-reusing-based adaptive algorithm for active noise control of impulsive noise sources

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

5 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. Recently we have proposed variants of the FxLMS algorithm where improved performance has been realized either by thresholding the input data or efficiently normalizing the step-size for adaptation. In the practical ANC systems, these thresholding parameters need to be estimated offline and cannot be updated during online operation of ANC systems. Furthermore, normalizing the steps-size for an impulsive noise source would essentially freeze the adaptation for very large impulses. In order to solve these problems, in this paper we propose a novel approach for ANC of impulsive noise sources. The proposed approach is based on data-reusing (DR) type adaptive algorithm. The main idea is to improve the stability by normalizing the step-size, and improve the convergence speed by reusing the data. The computer simulations are carried out to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2013 IEEE 9th International Conference on Emerging Technologies, ICET 2013
PublisherIEEE Computer Society
ISBN (Print)9781479934560
DOIs
Publication statusPublished - Jan 1 2013
Event2013 IEEE 9th International Conference on Emerging Technologies, ICET 2013 - Islamabad, Pakistan
Duration: Dec 9 2013Dec 10 2013

Publication series

NameICET 2013 - 2013 IEEE 9th International Conference on Emerging Technologies

Conference

Conference2013 IEEE 9th International Conference on Emerging Technologies, ICET 2013
CountryPakistan
CityIslamabad
Period12/9/1312/10/13

Keywords

  • Active noise control
  • Data-reusing algorithm
  • impulsive noise
  • normalized step-size

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint Dive into the research topics of 'Data-reusing-based adaptive algorithm for active noise control of impulsive noise sources'. Together they form a unique fingerprint.

  • Cite this

    Akhtar, M. T. (2013). Data-reusing-based adaptive algorithm for active noise control of impulsive noise sources. In 2013 IEEE 9th International Conference on Emerging Technologies, ICET 2013 [6743494] (ICET 2013 - 2013 IEEE 9th International Conference on Emerging Technologies). IEEE Computer Society. https://doi.org/10.1109/ICET.2013.6743494