Binormalized data-reusing filtered-reference algorithm for impulsive active noise control

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

1 Citation (Scopus)

Abstract

The filtered-x least mean square (FxLMS) algorithm for active noise control (ANC) systems is based on the second order moment of the error signal. In this paper we consider ANC for impulsive noise having peaky distribution with heavy tail. Such impulsive noise can be modeled using non-Gaussian stable process for which the second order moments do not exist, and hence, the FxLMS algorithm becomes unstable. Recently, we have proposed variants of the FxLMS algorithm where an improved performance has been realized by thresholding the input data or by efficiently normalizing the step-size. In this paper, we propose a modified binormalized data-reusing (BNDR) algorithm for impulsive ANC. The proposed algorithm is derived by minimizing a modified cost function, and is based on reusing the past and present samples of data. The computer simulations are carried out to demonstrate the effectiveness of the proposed algorithm. It is shown that an improved performance has been realized with a reasonable increase in computational complexity.

Original languageEnglish
Title of host publication2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages691-694
Number of pages4
ISBN (Electronic)9781479941346, 9781479941346
ISBN (Print)9781479941346
DOIs
Publication statusPublished - Jan 1 2014
Event2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014 - College Station, United States
Duration: Aug 3 2014Aug 6 2014

Publication series

NameMidwest Symposium on Circuits and Systems

Conference

Conference2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
CountryUnited States
CityCollege Station
Period8/3/148/6/14

Keywords

  • Active noise control
  • binormalized data-reusing algorithm
  • impulsive noise

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • Cite this

    Akhtar, M. T. (2014). Binormalized data-reusing filtered-reference algorithm for impulsive active noise control. In 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014 (pp. 691-694). [6908509] (Midwest Symposium on Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2014.6908509