An intermittent RLS algorithm and its application to adaptive active wideband noise control

K. A. Chen, Y. L. Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The most commonly used algorithm for an adaptive active acoustic noise controller is the filtered-x least mean square (FLMS) algorithm which has been applied successfully to active pure tone or narrowband noise control. However, the FLMS algorithm fails in active wideband noise control because of slow convergence rate and sensitivity to dispersion of eigenvalues of the noise autocorrelation matrix. Based on the principle of recursive least squares, an intermittent RLS (IRLS) algorithm is presented, which updates recursively weight coefficients of an adaptive filter at intervals. The intermittent period equals the time delay when the sound wave propagates from the secondary source to the error sensor. Analytic and simulation results show that the IRLS algorithm has excellent convergence behavior, stability and high attenuation level (AL) in comparison with the FLMS algorithm, hence this algorithm is particularly suitable for active wideband noise control. Finally, the feasibility of hardware implementation of the IRLS algorithm is discussed.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Industrial Electronics, ISIE 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-445
Number of pages4
ISBN (Electronic)0780300424
DOIs
StatePublished - 1992
Event1992 IEEE International Symposium on Industrial Electronics, ISIE 1992 - Xian, China
Duration: 25 May 199229 May 1992

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference1992 IEEE International Symposium on Industrial Electronics, ISIE 1992
Country/TerritoryChina
CityXian
Period25/05/9229/05/92

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