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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/168779 |
| _version_ | 1826110028141035520 |
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| author | Ji, Junwei Shi, Dongyuan Luo, Zhengding Shen, Xiaoyi Gan, Woon-Seng |
| 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 |
| author_sort | Ji, Junwei |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T02:27:49Z |
| format | Conference Paper |
| id | ntu-10356/168779 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:27:49Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | A practical distributed active noise control algorithm overcoming communication restrictions |
| title_sort | practical distributed active noise control algorithm overcoming communication restrictions |
| topic | Engineering::Electrical and electronic engineering Active Noise Control Distributed Networks Intermittent Communication |
| url | https://hdl.handle.net/10356/168779 |
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