An Acoustic Modelling Based Remote Error Sensing Approach for Quiet Zone Generation in a Noisy Environment

Zhu, Q; Qiu, X; Burnett, I

An Acoustic Modelling Based Remote Error Sensing Approach for Quiet Zone Generation in a Noisy Environment

Zhu, Q

Qiu, X

Burnett, I

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020, 00, pp. 8424-8428
Issue Date:: 2020-05-08

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Field	Value	Language
dc.contributor.author	Zhu, Q https://orcid.org/0000-0003-3942-0945
dc.contributor.author	Qiu, X https://orcid.org/0000-0002-5181-1220
dc.contributor.author	Burnett, I https://orcid.org/0000-0003-3795-7722
dc.date	2020-05-04
dc.date.accessioned	2021-06-16T23:02:50Z
dc.date.available	2021-06-16T23:02:50Z
dc.date.issued	2020-05-08
dc.identifier.citation	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020, 00, pp. 8424-8428
dc.identifier.isbn	978-1-5090-6631-5
dc.identifier.issn	1520-6149
dc.identifier.issn	2379-190X
dc.identifier.uri	http://hdl.handle.net/10453/149564
dc.description.abstract	Remote error sensing is required in active noise control systems when they are used to create a quiet zone in a noisy environment with the constraint that the error microphones cannot be inside the zone. The challenge in remote error sensing is to estimate the sound pressure in the target zone with a small number of physical microphones outside it. The spatial harmonic decomposition method uses wave domain sound field parameterisation to reduce the required number of the error microphones but can only provide accurate estimation below a certain frequency. This paper presents an improved approach to increase the effective frequency range based on the acoustic modelling. The simulation results demonstrate the proposed method can provide more than 20 dB noise reduction up to 1650 Hz for a quiet zone with a radius of 0.1 m by using only three microphones under the studied situations.
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/LP160100616
dc.relation.ispartof	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.relation.ispartof	ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing
dc.relation.isbasedon	10.1109/icassp40776.2020.9053688
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	An Acoustic Modelling Based Remote Error Sensing Approach for Quiet Zone Generation in a Noisy Environment
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Barcelona, Spain
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	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2022-05-08T00:00:00+1000Z
dc.date.updated	2021-06-16T23:02:47Z
pubs.finish-date	2020-05-08
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2020-05-04
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

Remote error sensing is required in active noise control systems when they are used to create a quiet zone in a noisy environment with the constraint that the error microphones cannot be inside the zone. The challenge in remote error sensing is to estimate the sound pressure in the target zone with a small number of physical microphones outside it. The spatial harmonic decomposition method uses wave domain sound field parameterisation to reduce the required number of the error microphones but can only provide accurate estimation below a certain frequency. This paper presents an improved approach to increase the effective frequency range based on the acoustic modelling. The simulation results demonstrate the proposed method can provide more than 20 dB noise reduction up to 1650 Hz for a quiet zone with a radius of 0.1 m by using only three microphones under the studied situations.

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http://hdl.handle.net/10453/149564