The University of Southampton
University of Southampton Institutional Repository

Virtual sensing technique for a multi-reference and multi-error active noise control system

Virtual sensing technique for a multi-reference and multi-error active noise control system
Virtual sensing technique for a multi-reference and multi-error active noise control system
This paper investigates the virtual sensing technique for a multi-reference and multi-error active noise control (ANC) system. Our previous study has validated the effectiveness of virtual sensing technique for the multi-channel feedforward ANC system with only one reference signal. In this paper, two reference signals are implemented. The numbers of control filters and auxiliary filters are doubled accordingly. A comparison is carried out between the condition when 4 physical error microphones are used to model 8 virtual error microphones and the condition when 8 physical error microphones are used to model 4 virtual error microphones. It is demonstrated that when the number of physical error microphones are not less than the number of secondary loudspeakers, the virtual sensing technique remains effective.
6891-6897
RWTH Publications
Xie, Rong
c236a271-fe47-4fdb-b1ed-2598ef36ed4d
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Li, Huiyong
01099860-a8cb-4a57-b2b3-f5a426fcba2c
Ochmann, Martin
Vorländer, Michael
Fels, Janina
Xie, Rong
c236a271-fe47-4fdb-b1ed-2598ef36ed4d
Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Li, Huiyong
01099860-a8cb-4a57-b2b3-f5a426fcba2c
Ochmann, Martin
Vorländer, Michael
Fels, Janina

Xie, Rong, Shi, Chuang and Li, Huiyong (2019) Virtual sensing technique for a multi-reference and multi-error active noise control system. Ochmann, Martin, Vorländer, Michael and Fels, Janina (eds.) In Proceedings of the 23rd International Congress on Acoustics : Integrating 4th EAA Euroregio 2019 : 9-13 September 2019 In Aachen, Germany. RWTH Publications. pp. 6891-6897 . (doi:10.18154/RWTH-CONV-239232).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper investigates the virtual sensing technique for a multi-reference and multi-error active noise control (ANC) system. Our previous study has validated the effectiveness of virtual sensing technique for the multi-channel feedforward ANC system with only one reference signal. In this paper, two reference signals are implemented. The numbers of control filters and auxiliary filters are doubled accordingly. A comparison is carried out between the condition when 4 physical error microphones are used to model 8 virtual error microphones and the condition when 8 physical error microphones are used to model 4 virtual error microphones. It is demonstrated that when the number of physical error microphones are not less than the number of secondary loudspeakers, the virtual sensing technique remains effective.

Text
769643 - Version of Record
Download (1MB)

More information

e-pub ahead of print date: 9 September 2019
Venue - Dates: 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019, , Aachen, Germany, 2019-09-09 - 2019-09-23

Identifiers

Local EPrints ID: 484241
URI: http://eprints.soton.ac.uk/id/eprint/484241
PURE UUID: ba35ed98-1254-472b-966b-bd1e05305f93
ORCID for Chuang Shi: ORCID iD orcid.org/0000-0002-1517-2775

Catalogue record

Date deposited: 13 Nov 2023 18:43
Last modified: 18 Mar 2024 04:13

Export record

Altmetrics

Contributors

Author: Rong Xie
Author: Chuang Shi ORCID iD
Author: Huiyong Li
Editor: Martin Ochmann
Editor: Michael Vorländer
Editor: Janina Fels

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×