A comparison between adaptive ANC algorithms with and without cancellation path modelling

Qiu, X; Gao, M; Burnett, I

A comparison between adaptive ANC algorithms with and without cancellation path modelling

Qiu, X

Gao, M Burnett, I

Permalink

Publication Type:: Conference Proceeding
Citation:: 21st International Congress on Sound and Vibration 2014, ICSV 2014, 2014, 1 pp. 122 - 129
Issue Date:: 2014-01-01

Closed Access

	Filename	Description	Size
	full_paper_21_20140310121458493.pdf	Published version	273.46 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Qiu, X https://orcid.org/0000-0002-5181-1220	en_US
dc.contributor.author	Gao, M	en_US
dc.contributor.author	Burnett, I https://orcid.org/0000-0003-3795-7722	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	21st International Congress on Sound and Vibration 2014, ICSV 2014, 2014, 1 pp. 122 - 129	en_US
dc.identifier.isbn	9781634392389	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120851
dc.description.abstract	The adaptive filters in active noise control (ANC) systems differ from other common adaptive filters in the existence of the cancellation path, which is the transfer function between the outputs of the adaptive control filters and the error sensors. Cancellation paths play a critical role in active noise control systems, and the corresponding adaptive algorithms usually require the information of the cancellation paths for updating the control filters. The most commonly used filtered-x LMS algorithm takes into account the cancellation paths by filtering the reference signal with an estimate of the cancellation path transfer functions. For many ANC applications, the cancellation path modelling must be carried out online to maintain the stability of the system, and one modelling method obtains the cancellation path information by injecting uncorrelated signal into the cancellation path. This paper will introduce the filtered-x LMS algorithm embedded with this online cancellation path modelling and the direction search LMS algorithm, which is one of the ANC algorithms that do not need an explicit model of the cancellation path. In the direction search LMS algorithm, the standard LMS algorithm is adopted to update the adaptive filter coefficients directly with the reference signal by automatically choosing a proper update direction based on the monitoring of the excess noise power. The performance of the two typical adaptive ANC algorithms, one with and one without cancellation path modelling, will be compared in terms of noise reduction level, tracking speed, computation load and robustness.	en_US
dc.relation.ispartof	21st International Congress on Sound and Vibration 2014, ICSV 2014	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A comparison between adaptive ANC algorithms with and without cancellation path modelling	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	091301 Acoustics and Noise Control (excl. Architectural Acoustics)	en_US
pubs.embargo.period	Not known	en_US
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	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

The adaptive filters in active noise control (ANC) systems differ from other common adaptive filters in the existence of the cancellation path, which is the transfer function between the outputs of the adaptive control filters and the error sensors. Cancellation paths play a critical role in active noise control systems, and the corresponding adaptive algorithms usually require the information of the cancellation paths for updating the control filters. The most commonly used filtered-x LMS algorithm takes into account the cancellation paths by filtering the reference signal with an estimate of the cancellation path transfer functions. For many ANC applications, the cancellation path modelling must be carried out online to maintain the stability of the system, and one modelling method obtains the cancellation path information by injecting uncorrelated signal into the cancellation path. This paper will introduce the filtered-x LMS algorithm embedded with this online cancellation path modelling and the direction search LMS algorithm, which is one of the ANC algorithms that do not need an explicit model of the cancellation path. In the direction search LMS algorithm, the standard LMS algorithm is adopted to update the adaptive filter coefficients directly with the reference signal by automatically choosing a proper update direction based on the monitoring of the excess noise power. The performance of the two typical adaptive ANC algorithms, one with and one without cancellation path modelling, will be compared in terms of noise reduction level, tracking speed, computation load and robustness.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/120851