A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control
Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise. The primary objective of ANC is to generate an anti-noise with the same amplitude but the opposite phase of the primary noise using the secondary source. However, the effectiveness of the ANC application is i...
| 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/10356/169108 |
| _version_ | 1826120162566209536 |
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| author | Shen, Xiaoyi Shi, Dongyuan Luo, Zhengding Ji, Junwei Gan, Woon-Seng |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Shen, Xiaoyi Shi, Dongyuan Luo, Zhengding Ji, Junwei Gan, Woon-Seng |
| author_sort | Shen, Xiaoyi |
| collection | NTU |
| description | Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise. The primary objective of ANC is to generate an anti-noise with the same amplitude but the opposite phase of the primary noise using the secondary source. However, the effectiveness of the ANC application is impacted by the speaker’s output saturation. This paper proposes a two-gradient direction ANC algorithm with a momentum factor to solve the saturation with faster convergence. In order to make it implemented in real-time, a computation-effective variable step size approach is applied to further reduce the steady-state error brought on by the changing gradient directions. The time constant and step size bound for the momentum two-gradient direction algorithm is analyzed. Simulation
results show that the proposed algorithm performs effectively in the time-unvaried and time-varied environment. |
| first_indexed | 2024-10-01T05:11:59Z |
| format | Conference Paper |
| id | ntu-10356/169108 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:11:59Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1691082023-07-07T15:38:39Z A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control Shen, Xiaoyi Shi, Dongyuan Luo, Zhengding Ji, Junwei Gan, Woon-Seng School of Electrical and Electronic Engineering 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023) Science::Physics::Acoustics Engineering::Electrical and electronic engineering Active Noise Control Output Saturation Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise. The primary objective of ANC is to generate an anti-noise with the same amplitude but the opposite phase of the primary noise using the secondary source. However, the effectiveness of the ANC application is impacted by the speaker’s output saturation. This paper proposes a two-gradient direction ANC algorithm with a momentum factor to solve the saturation with faster convergence. In order to make it implemented in real-time, a computation-effective variable step size approach is applied to further reduce the steady-state error brought on by the changing gradient directions. The time constant and step size bound for the momentum two-gradient direction algorithm is analyzed. Simulation results show that the proposed algorithm performs effectively in the time-unvaried and time-varied environment. Ministry of National Development (MND) National Research Foundation (NRF) Submitted/Accepted version This research/work is supported by the Singapore Ministry of National Development and National Research Foundation under the Cities of Tomorrow R&D Program: COT-V4-2019-1. 2023-07-05T06:24:58Z 2023-07-05T06:24:58Z 2023 Conference Paper Shen, X., Shi, D., Luo, Z., Ji, J. & Gan, W. (2023). A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023). https://dx.doi.org/10.1109/ICASSP49357.2023.10095950 978-1-7281-6327-7 https://hdl.handle.net/10356/169108 10.1109/ICASSP49357.2023.10095950 en COT-V4-2019-1 © 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/ICASSP49357.2023.10095950. application/pdf |
| spellingShingle | Science::Physics::Acoustics Engineering::Electrical and electronic engineering Active Noise Control Output Saturation Shen, Xiaoyi Shi, Dongyuan Luo, Zhengding Ji, Junwei Gan, Woon-Seng A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control |
| title | A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control |
| title_full | A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control |
| title_fullStr | A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control |
| title_full_unstemmed | A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control |
| title_short | A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control |
| title_sort | momentum two gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control |
| topic | Science::Physics::Acoustics Engineering::Electrical and electronic engineering Active Noise Control Output Saturation |
| url | https://hdl.handle.net/10356/169108 |
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