Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints

The multichannel implementation of the auxiliary-filter-based virtual-sensing (AF-VS) technique for active noise control applications is revisited and realized in the paper. Frequency-domain analysis based on random primary noise proves that the multichannel virtual-sensing active noise control (MVA...

Full description

Saved in:
Bibliographic Details
Main Authors: Shi, Dongyuan, Gan, Woon-Seng, Lam, Bhan, Hasegawa, Rina, Kajikawa, Yoshinobu
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142537
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-142537
record_format dspace
spelling sg-ntu-dr.10356-1425372020-06-24T02:29:05Z Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints Shi, Dongyuan Gan, Woon-Seng Lam, Bhan Hasegawa, Rina Kajikawa, Yoshinobu School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Microphones Theoretical Computer Science The multichannel implementation of the auxiliary-filter-based virtual-sensing (AF-VS) technique for active noise control applications is revisited and realized in the paper. Frequency-domain analysis based on random primary noise proves that the multichannel virtual-sensing active noise control (MVANC) technique can achieve optimal control at the desired virtual locations even if the signals at the physical and virtual microphones are not causally related. Further analysis on a number of sensor-actuator configurations shows that the MVANC technique achieves optimal control at the desired locations as long as the number of secondary sources does not exceed that of the physical error microphones. Furthermore, the simulations with measured transfer functions and real-time experiments conducted on a four-channel system validate the frequency domain analyses NRF (Natl Research Foundation, S’pore) Published version 2020-06-24T02:23:57Z 2020-06-24T02:23:57Z 2020 Journal Article Shi, D., Gan, W.-S., Lam, B., Hasegawa, R., & Kajikawa, Y. (2020). Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints. The Journal of the Acoustical Society of America, 147(1), 32-48. doi:10.1121/10.0000515 0001-4966 https://hdl.handle.net/10356/142537 10.1121/10.0000515 1 147 32 48 en COT-V4-2019-1 The Journal of the Acoustical Society of America © 2020 Acoustical Society of America. All rights reserved. This paper was published in The Journal of the Acoustical Society of America and is made available with permission of Acoustical Society of America. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Microphones
Theoretical Computer Science
spellingShingle Engineering::Electrical and electronic engineering
Microphones
Theoretical Computer Science
Shi, Dongyuan
Gan, Woon-Seng
Lam, Bhan
Hasegawa, Rina
Kajikawa, Yoshinobu
Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints
description The multichannel implementation of the auxiliary-filter-based virtual-sensing (AF-VS) technique for active noise control applications is revisited and realized in the paper. Frequency-domain analysis based on random primary noise proves that the multichannel virtual-sensing active noise control (MVANC) technique can achieve optimal control at the desired virtual locations even if the signals at the physical and virtual microphones are not causally related. Further analysis on a number of sensor-actuator configurations shows that the MVANC technique achieves optimal control at the desired locations as long as the number of secondary sources does not exceed that of the physical error microphones. Furthermore, the simulations with measured transfer functions and real-time experiments conducted on a four-channel system validate the frequency domain analyses
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Shi, Dongyuan
Gan, Woon-Seng
Lam, Bhan
Hasegawa, Rina
Kajikawa, Yoshinobu
format Article
author Shi, Dongyuan
Gan, Woon-Seng
Lam, Bhan
Hasegawa, Rina
Kajikawa, Yoshinobu
author_sort Shi, Dongyuan
title Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints
title_short Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints
title_full Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints
title_fullStr Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints
title_full_unstemmed Feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints
title_sort feedforward multichannel virtual-sensing active control of noise through an aperture : analysis on causality and sensor-actuator constraints
publishDate 2020
url https://hdl.handle.net/10356/142537
_version_ 1681059116364070912