Rapidly converging adaptive state-space-based multichannel active noise control algorithm for reduction of broadband noise

Rapidly changing spectra may lead to performance limitations in adaptive systems for broadband active noise control, especially in multichannel systems. This paper presents techniques to address the negative consequences of two main causes. First, the dynamics of the transfer paths between the noise...

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Published inThe Journal of the Acoustical Society of America Vol. 121; no. 5_Supplement; p. 3179
Main Authors Berkhoff, Arthur P., Wesselink, Johan M.
Format Journal Article
LanguageEnglish
Published 01.05.2007
Online AccessGet full text
ISSN0001-4966
1520-8524
DOI10.1121/1.4782331

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Abstract Rapidly changing spectra may lead to performance limitations in adaptive systems for broadband active noise control, especially in multichannel systems. This paper presents techniques to address the negative consequences of two main causes. First, the dynamics of the transfer paths between the noise control sources and the error microphones is compensated for by using a regularized state-space based adaptive filtered-error scheme. Second, for the reference signals a modified adaptive scheme is used, taking into account the nonwhiteness of these signals as well as the correlation between the individual signals. Examples are given for simulated data and for real-time implementations. [This work was partly supported by EC Contract 501084 (InMAR).]
AbstractList Rapidly changing spectra may lead to performance limitations in adaptive systems for broadband active noise control, especially in multichannel systems. This paper presents techniques to address the negative consequences of two main causes. First, the dynamics of the transfer paths between the noise control sources and the error microphones is compensated for by using a regularized state-space based adaptive filtered-error scheme. Second, for the reference signals a modified adaptive scheme is used, taking into account the nonwhiteness of these signals as well as the correlation between the individual signals. Examples are given for simulated data and for real-time implementations. [This work was partly supported by EC Contract 501084 (InMAR).]
Author Berkhoff, Arthur P.
Wesselink, Johan M.
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