A New Diffusion Filtered-X Affine Projection Algorithm: Performance Analysis and Application in Windy Environment

Chu, Y; Zhao, S; Niu, F; Dong, Y; Zhao, Y

A New Diffusion Filtered-X Affine Projection Algorithm: Performance Analysis and Application in Windy Environment

Chu, Y Zhao, S

Niu, F Dong, Y Zhao, Y

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE/ACM Transactions on Audio Speech and Language Processing, 2024, 32, pp. 1596-1608
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Chu, Y
dc.contributor.author	Zhao, S https://orcid.org/0000-0002-6261-8864
dc.contributor.author	Niu, F
dc.contributor.author	Dong, Y
dc.contributor.author	Zhao, Y
dc.date.accessioned	2024-08-07T04:51:09Z
dc.date.available	2024-08-07T04:51:09Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE/ACM Transactions on Audio Speech and Language Processing, 2024, 32, pp. 1596-1608
dc.identifier.issn	2329-9290
dc.identifier.issn	2329-9304
dc.identifier.uri	http://hdl.handle.net/10453/180239
dc.description.abstract	Wind noise caused by turbulent flows over microphones usually has detrimental impacts on the reference signal of an active noise control (ANC) system and degrade its performance considerably. This paper evaluates the influence of wind noise on the filtered-x affine projection algorithm (FxAPA) for ANC systems. To improve the performance of noise control systems in windy environments, the FxAPA is modified based on a wind-noise-free least mean squares error and the diffusion control technology that could suppress interruptions in the collected primary noise. Performance analysis of the resulting de- regularized diffusion FxAPA (Diff-FxAPA) algorithm has been carried out at the presence of wind noise, which reveals the underlying mechanism of the new algorithm on suppressing the wind noise interruption. Difference equations describing the mean and mean squares convergence behaviors of this ANC system are derived to characterize its optimal solution, estimation bias and variance, and convergence conditions. Computer simulations with real-recorded data validate the theoretical analysis and show that the noise reduction performance of conventional ANC methods degrades with wind noise while the proposed algorithm has a stable performance under a variety of windy conditions.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE/ACM Transactions on Audio Speech and Language Processing
dc.relation.isbasedon	10.1109/TASLP.2024.3363409
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4602 Artificial intelligence
dc.subject.classification	4603 Computer vision and multimedia computation
dc.title	A New Diffusion Filtered-X Affine Projection Algorithm: Performance Analysis and Application in Windy Environment
dc.type	Journal Article
utslib.citation.volume	32
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	recently_added	*
dc.date.updated	2024-08-07T04:51:04Z
pubs.publication-status	Published
pubs.volume	32

Abstract:

Wind noise caused by turbulent flows over microphones usually has detrimental impacts on the reference signal of an active noise control (ANC) system and degrade its performance considerably. This paper evaluates the influence of wind noise on the filtered-x affine projection algorithm (FxAPA) for ANC systems. To improve the performance of noise control systems in windy environments, the FxAPA is modified based on a wind-noise-free least mean squares error and the diffusion control technology that could suppress interruptions in the collected primary noise. Performance analysis of the resulting de- regularized diffusion FxAPA (Diff-FxAPA) algorithm has been carried out at the presence of wind noise, which reveals the underlying mechanism of the new algorithm on suppressing the wind noise interruption. Difference equations describing the mean and mean squares convergence behaviors of this ANC system are derived to characterize its optimal solution, estimation bias and variance, and convergence conditions. Computer simulations with real-recorded data validate the theoretical analysis and show that the noise reduction performance of conventional ANC methods degrades with wind noise while the proposed algorithm has a stable performance under a variety of windy conditions.

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http://hdl.handle.net/10453/180239