Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169108
Title: A momentum two-gradient direction algorithm with variable step size applied to solve practical output constraint issue for active noise control
Authors: Shen, Xiaoyi
Shi, Dongyuan
Luo, Zhengding
Ji, Junwei
Gan, Woon-Seng
Keywords: Science::Physics::Acoustics
Engineering::Electrical and electronic engineering
Issue Date: 2023
Source: 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
Project: COT-V4-2019-1 
Conference: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023)
Abstract: 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.
URI: https://hdl.handle.net/10356/169108
ISSN: 978-1-7281-6327-7
DOI: 10.1109/ICASSP49357.2023.10095950
Schools: School of Electrical and Electronic Engineering 
Rights: © 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

Files in This Item:
File Description SizeFormat 
4116 Paper.pdf5.42 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 50

5
Updated on Jun 9, 2024

Page view(s)

116
Updated on Jun 22, 2024

Download(s)

37
Updated on Jun 22, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.