A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation

Haotian Zhang; Wenhong Liu; Jinxi Hu; Keni Xu; Mianmian Wang; Hang Liu

doi:doi:10.11648/j.jeee.20190705.14

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A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation

Haotian Zhang, Wenhong Liu, Jinxi Hu, Keni Xu, Mianmian Wang, Hang Liu

Published in Journal of Electrical and Electronic Engineering (Volume 7, Issue 5)

Received: 13 October 2019 Accepted: Published: 8 November 2019

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Abstract

Noise control is a research topic that has been widely concerned for in recent years. When a noise space has a certain volume and/or with complex channel, the method of active noise control (ANC) can be used to reduce or eliminate noise interference. The main channel delay in the active noise control system has an important impact on the performance of the ANC system, however, the traditional method, such as filtered-x least mean square algorithm (FxLMS), lacks the estimation of the main channel delay. This results that the system output cannot be accurately synchronized. Especially in the case of time-varying delay, the effect is less desirable. In this paper, the correlation time delay estimation is combined with FxLMS. A method to improve the performance of active noise control system (CTDE-FxLMS) is proposed based on time delay estimation. In CTDE-FxLMS method, the correlation time delay estimation is used to calculate the main channel delay, and the frequency response of the main channel is calculated by FxLMS. CTDE-FxLMS method improves the synchronization accuracy between the system output and the original noise in the time domain and the frequency domain. The computer simulation results show that the CTDE-FxLMS method has better noise reduction effect than the FxLMS method both the conditions of fixed delay and time-varying delay.

Published in	Journal of Electrical and Electronic Engineering (Volume 7, Issue 5)
DOI	10.11648/j.jeee.20190705.14
Page(s)	120-125
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Active Noise Control, Correlation Time Delay Estimation, FxLMS Algorithm, Time-varying Delay

References

[1]	Zhang Yuexin, Liu Jian. Low frequency noise reduction in closed spaces based on multi-channel active noise control [J]. Science Technology and Engineering, 2018, 18 (35): 236-241.
[2]	Liu Enze, Yan Jikuan, Chen Duanshi. Research Overview and Development Trend of Noise Active Control System [J]. Noise and Vibration Control, 1999 (03): 2-6.
[3]	Regis J. Serinko. Ergodic theorems arising in correlation dimension estimation [J]. Journal of Statistical Physics. 1996 (1-2).
[4]	D. Dumont, X. Geets, M. Coevoet, E. Sterpin. EP-1669: Assessment of the clinical value of off-line adaptive strategies for tomotherapy treatments [J]. Radiotherapy and Oncology.
[5]	John Odell. Error estimation in stratigraphic correlation [J]. John Odell. Journal of the International Association for Mathematical Geology. 1975 (2).
[6]	Constantinos N. Note on the estimation of the correlation function of neural spike trains [J]. Constantinos N. Christakos. Biological Cybernetics. 1984 (2).
[7]	Su Yu, Lu Jianwei, Shao Haoran. Nonlinear active noise Control Based on Feedback System FxLMS [J]. The Journal of New Industrialization, 2018, 8 (03): 40-46.
[8]	Li Nan, An Fengyan, Yang Feiran, Yang Jun. A Weighted-error-FxLMS Algorithm for active noise control headphone [J]. Journal of Applied Acoustics, 2018, 37 (03): 391-399.
[9]	Zhang Shuai, Wang Yansong, Zhang Xinguang, Li Wenwu. Application of Variable Step-size Modified FxLMS Algorithm to Active Interior Noise Control for Vehicles [J]. Noise and Vibration Control, 2019, 39 (02): 64-69.
[10]	Wang Guodong, Yang Peng. Active Noise Control System of Power Transformer Based on Adaptive Inverse Control [J]. Smart Power, 2016, 44 (09): 51-54+75.
[11]	Muhammad Tufail, Shakeel Ahmed, Muhammad Rehan, Muhammad Tahir Akhtar. A two adaptive filters-based method for reducing effects of acoustic feedback in single-channel feedforward ANC systems [J]. Digital Signal Processing.
[12]	Ibrahem Shatnawi, Ping Yi, Ibrahim Khliefat. Automated intersection delay estimation using the input–output principle and turning movement data [J]. International Journal of Transportation Science and Technology. 2018 (2).
[13]	Selahattin Ozcelik. Robust direct adaptive control for MIMO systems using Q-parameterization [J]. IFAC Proceedings Volumes. 2004 (12).
[14]	Limin Zhang, Xiaojun Qiu. Causality study on a feedforward active noise control headset with different noise coming directions in free field [J]. Applied Acoustics, 2014, 80.
[15]	Ray Laura R, Solbeck Jason A, Streeter Alexander D, Collier Robert D. Hybrid feedforward-feedback active noise reduction for hearing protection and communication. [J]. Acoustical Society of America. Journal, 2006, 120 (4).
[16]	Robert Hanus. Time delay estimation of random signals using cross-correlation with Hilbert Transform [J]. Measurement, 2019, 146.
[17]	Muhammad Tahir Akhtar, Wataru Mitsuhashi. Improving performance of FxLMS algorithm for active noise control of impulsive noise [J]. Journal of Sound and Vibration, 2009, 327 (3).
[18]	Qiu Tianshuang, Wang Hongwei. Adaptive Time Delay Estimation in Time-varying Environments [J]. Journal of Ocean Technology, 1996 (02): 21-29.
[19]	R. M. Fernández-Alcalá, J. Navarro-Moreno, J. C. Ruiz-Molina. Functional estimation incorporating prior correlation information [J]. Computational Statistics. 2007 (3).
[20]	A. V. Ivanov, N. N. Leonenko. Convergence of distributions of correlation function estimation functionals [J]. Lithuanian Mathematical Journal. 1979 (4).

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APA Style

Haotian Zhang, Wenhong Liu, Jinxi Hu, Keni Xu, Mianmian Wang, et al. (2019). A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation. Journal of Electrical and Electronic Engineering, 7(5), 120-125. https://doi.org/10.11648/j.jeee.20190705.14

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ACS Style

Haotian Zhang; Wenhong Liu; Jinxi Hu; Keni Xu; Mianmian Wang, et al. A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation. J. Electr. Electron. Eng. 2019, 7(5), 120-125. doi: 10.11648/j.jeee.20190705.14

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AMA Style

Haotian Zhang, Wenhong Liu, Jinxi Hu, Keni Xu, Mianmian Wang, et al. A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation. J Electr Electron Eng. 2019;7(5):120-125. doi: 10.11648/j.jeee.20190705.14

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@article{10.11648/j.jeee.20190705.14,
  author = {Haotian Zhang and Wenhong Liu and Jinxi Hu and Keni Xu and Mianmian Wang and Hang Liu},
  title = {A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {7},
  number = {5},
  pages = {120-125},
  doi = {10.11648/j.jeee.20190705.14},
  url = {https://doi.org/10.11648/j.jeee.20190705.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20190705.14},
  abstract = {Noise control is a research topic that has been widely concerned for in recent years. When a noise space has a certain volume and/or with complex channel, the method of active noise control (ANC) can be used to reduce or eliminate noise interference. The main channel delay in the active noise control system has an important impact on the performance of the ANC system, however, the traditional method, such as filtered-x least mean square algorithm (FxLMS), lacks the estimation of the main channel delay. This results that the system output cannot be accurately synchronized. Especially in the case of time-varying delay, the effect is less desirable. In this paper, the correlation time delay estimation is combined with FxLMS. A method to improve the performance of active noise control system (CTDE-FxLMS) is proposed based on time delay estimation. In CTDE-FxLMS method, the correlation time delay estimation is used to calculate the main channel delay, and the frequency response of the main channel is calculated by FxLMS. CTDE-FxLMS method improves the synchronization accuracy between the system output and the original noise in the time domain and the frequency domain. The computer simulation results show that the CTDE-FxLMS method has better noise reduction effect than the FxLMS method both the conditions of fixed delay and time-varying delay.},
 year = {2019}
}

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TY - JOUR
T1 - A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation
AU - Haotian Zhang
AU - Wenhong Liu
AU - Jinxi Hu
AU - Keni Xu
AU - Mianmian Wang
AU - Hang Liu
Y1 - 2019/11/08
PY - 2019
N1 - https://doi.org/10.11648/j.jeee.20190705.14
DO - 10.11648/j.jeee.20190705.14
T2 - Journal of Electrical and Electronic Engineering
JF - Journal of Electrical and Electronic Engineering
JO - Journal of Electrical and Electronic Engineering
SP - 120
EP - 125
PB - Science Publishing Group
SN - 2329-1605
UR - https://doi.org/10.11648/j.jeee.20190705.14
AB - Noise control is a research topic that has been widely concerned for in recent years. When a noise space has a certain volume and/or with complex channel, the method of active noise control (ANC) can be used to reduce or eliminate noise interference. The main channel delay in the active noise control system has an important impact on the performance of the ANC system, however, the traditional method, such as filtered-x least mean square algorithm (FxLMS), lacks the estimation of the main channel delay. This results that the system output cannot be accurately synchronized. Especially in the case of time-varying delay, the effect is less desirable. In this paper, the correlation time delay estimation is combined with FxLMS. A method to improve the performance of active noise control system (CTDE-FxLMS) is proposed based on time delay estimation. In CTDE-FxLMS method, the correlation time delay estimation is used to calculate the main channel delay, and the frequency response of the main channel is calculated by FxLMS. CTDE-FxLMS method improves the synchronization accuracy between the system output and the original noise in the time domain and the frequency domain. The computer simulation results show that the CTDE-FxLMS method has better noise reduction effect than the FxLMS method both the conditions of fixed delay and time-varying delay.
VL - 7
IS - 5
ER -

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Author Information

Haotian Zhang

School of Electronic Information, Shanghai Dianji University, Shanghai, China
Wenhong Liu

School of Electronic Information, Shanghai Dianji University, Shanghai, China
Jinxi Hu

School of Electronic Information, Shanghai Dianji University, Shanghai, China
Keni Xu

School of Electronic Information, Shanghai Dianji University, Shanghai, China
Mianmian Wang

School of Electronic Information, Shanghai Dianji University, Shanghai, China
Hang Liu

School of Electronic Information, Shanghai Dianji University, Shanghai, China

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Plain Text BibTeX RIS

APA Style

Haotian Zhang, Wenhong Liu, Jinxi Hu, Keni Xu, Mianmian Wang, et al. (2019). A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation. Journal of Electrical and Electronic Engineering, 7(5), 120-125. https://doi.org/10.11648/j.jeee.20190705.14

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ACS Style

Haotian Zhang; Wenhong Liu; Jinxi Hu; Keni Xu; Mianmian Wang, et al. A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation. J. Electr. Electron. Eng. 2019, 7(5), 120-125. doi: 10.11648/j.jeee.20190705.14

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AMA Style

Haotian Zhang, Wenhong Liu, Jinxi Hu, Keni Xu, Mianmian Wang, et al. A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation. J Electr Electron Eng. 2019;7(5):120-125. doi: 10.11648/j.jeee.20190705.14

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@article{10.11648/j.jeee.20190705.14,
  author = {Haotian Zhang and Wenhong Liu and Jinxi Hu and Keni Xu and Mianmian Wang and Hang Liu},
  title = {A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {7},
  number = {5},
  pages = {120-125},
  doi = {10.11648/j.jeee.20190705.14},
  url = {https://doi.org/10.11648/j.jeee.20190705.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20190705.14},
  abstract = {Noise control is a research topic that has been widely concerned for in recent years. When a noise space has a certain volume and/or with complex channel, the method of active noise control (ANC) can be used to reduce or eliminate noise interference. The main channel delay in the active noise control system has an important impact on the performance of the ANC system, however, the traditional method, such as filtered-x least mean square algorithm (FxLMS), lacks the estimation of the main channel delay. This results that the system output cannot be accurately synchronized. Especially in the case of time-varying delay, the effect is less desirable. In this paper, the correlation time delay estimation is combined with FxLMS. A method to improve the performance of active noise control system (CTDE-FxLMS) is proposed based on time delay estimation. In CTDE-FxLMS method, the correlation time delay estimation is used to calculate the main channel delay, and the frequency response of the main channel is calculated by FxLMS. CTDE-FxLMS method improves the synchronization accuracy between the system output and the original noise in the time domain and the frequency domain. The computer simulation results show that the CTDE-FxLMS method has better noise reduction effect than the FxLMS method both the conditions of fixed delay and time-varying delay.},
 year = {2019}
}

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