A practical distributed active noise control algorithm overcoming communication restrictions

By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active noise control (DMCANC) techniques have become effective global noise reduction solutions with low computational costs. Ho...

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Main Authors: Ji, Junwei, Shi, Dongyuan, Luo, Zhengding, Shen, Xiaoyi, Gan, Woon-Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/168779
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1687792023-07-07T15:38:38Z A practical distributed active noise control algorithm overcoming communication restrictions Ji, Junwei Shi, Dongyuan Luo, Zhengding Shen, Xiaoyi Gan, Woon-Seng School of Electrical and Electronic Engineering 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023) Engineering::Electrical and electronic engineering Active Noise Control Distributed Networks Intermittent Communication By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active noise control (DMCANC) techniques have become effective global noise reduction solutions with low computational costs. However, existing DMCANC algorithms simply complete the distribution of traditional centralized algorithms by combining neighbour nodes' information but rarely consider the degraded control performance and system stability of distributed units caused by delays and interruptions in communication. Hence, this paper develops a novel DMCANC algorithm that utilizes the compensation filters and neighbour nodes' information to counterbalance the cross-talk effect between channels while maintaining independent weight updating. Since the neighbours' information required barely affects the local control filter updating in each node, this approach can tolerate communication delay and interruption to some extent. Numerical simulations demonstrate that the proposed algorithm can achieve satisfactory noise reduction performance and high robustness to real-world communication challenges. Submitted/Accepted version 2023-06-19T06:44:28Z 2023-06-19T06:44:28Z 2023 Conference Paper Ji, J., Shi, D., Luo, Z., Shen, X. & Gan, W. (2023). A practical distributed active noise control algorithm overcoming communication restrictions. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). https://dx.doi.org/10.1109/ICASSP49357.2023.10097013 https://hdl.handle.net/10356/168779 10.1109/ICASSP49357.2023.10097013 en © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICASSP49357.2023.10097013. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Active Noise Control
Distributed Networks
Intermittent Communication
spellingShingle Engineering::Electrical and electronic engineering
Active Noise Control
Distributed Networks
Intermittent Communication
Ji, Junwei
Shi, Dongyuan
Luo, Zhengding
Shen, Xiaoyi
Gan, Woon-Seng
A practical distributed active noise control algorithm overcoming communication restrictions
description By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active noise control (DMCANC) techniques have become effective global noise reduction solutions with low computational costs. However, existing DMCANC algorithms simply complete the distribution of traditional centralized algorithms by combining neighbour nodes' information but rarely consider the degraded control performance and system stability of distributed units caused by delays and interruptions in communication. Hence, this paper develops a novel DMCANC algorithm that utilizes the compensation filters and neighbour nodes' information to counterbalance the cross-talk effect between channels while maintaining independent weight updating. Since the neighbours' information required barely affects the local control filter updating in each node, this approach can tolerate communication delay and interruption to some extent. Numerical simulations demonstrate that the proposed algorithm can achieve satisfactory noise reduction performance and high robustness to real-world communication challenges.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Ji, Junwei
Shi, Dongyuan
Luo, Zhengding
Shen, Xiaoyi
Gan, Woon-Seng
format Conference or Workshop Item
author Ji, Junwei
Shi, Dongyuan
Luo, Zhengding
Shen, Xiaoyi
Gan, Woon-Seng
author_sort Ji, Junwei
title A practical distributed active noise control algorithm overcoming communication restrictions
title_short A practical distributed active noise control algorithm overcoming communication restrictions
title_full A practical distributed active noise control algorithm overcoming communication restrictions
title_fullStr A practical distributed active noise control algorithm overcoming communication restrictions
title_full_unstemmed A practical distributed active noise control algorithm overcoming communication restrictions
title_sort practical distributed active noise control algorithm overcoming communication restrictions
publishDate 2023
url https://hdl.handle.net/10356/168779
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