On active noise control systems with online acoustic feedback path modeling

Muhammad Tahir Akhtar; Masahide Abe; Masayuki Kawamata

doi:10.1109/TASL.2006.876749

On active noise control systems with online acoustic feedback path modeling

Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata

Research output: Contribution to journal › Article › peer-review

58 Citations (Scopus)

Abstract

The presence of strong acoustic feedback degrades the convergence speed of the active noise control (ANC) filter, and in the worst case the ANC system may become unstable. A fixed feedback neutralization filter, obtained offline, can be used to neutralize the acoustic feedback. The feedback path, however, may be time varying, and we may need continual adjustments during online operation of the ANC system. This paper proposes a new method for online modeling of the acoustic feedback path in ANC systems. The proposed method uses three adaptive filters; a noise control filter, a feedback path modeling (FBPM) filter, and an adaptive noise cancelation (ADNC) filter. The objective of ADNC filter is to remove the disturbance from the desired response of FBPM filter. In comparison with the existing method, which works only for predictable noise sources, the proposed method can work, as well, with the broadband noise sources. The computer simulations are carried out for narrowband (predictable) (case I) and broadband (random) noise sources (case II). It is demonstrated that the proposed method performs better than the existing method in both cases.

Original language	English
Article number	4067019
Pages (from-to)	593-600
Number of pages	8
Journal	IEEE Transactions on Audio, Speech and Language Processing
Volume	15
Issue number	2
DOIs	https://doi.org/10.1109/TASL.2006.876749
Publication status	Published - Feb 1 2007
Externally published	Yes

Funding

Manuscript received August 15, 2005; revised January 29, 2006. This work was supported by the 21st Century COE (Center of Excellence) program of Tohoku University, Sendai, Japan. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Shoji Makino. The authors are with the Graduate School of Engineering, Tohoku University, Sendai-shi 980-8579, Japan (e-mail: [email protected]). Digital Object Identifier 10.1109/TASL.2006.876749

Keywords

Acoustic feedback
Active noise control (ANC)
FxLMS algorithm
Online feedback path modeling

ASJC Scopus subject areas

Acoustics and Ultrasonics
Electrical and Electronic Engineering

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10.1109/TASL.2006.876749

http://www.mendeley.com/research/active-noise-control-systems-online-acoustic-feedback-path-modeling-7

Cite this

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title = "On active noise control systems with online acoustic feedback path modeling",

abstract = "The presence of strong acoustic feedback degrades the convergence speed of the active noise control (ANC) filter, and in the worst case the ANC system may become unstable. A fixed feedback neutralization filter, obtained offline, can be used to neutralize the acoustic feedback. The feedback path, however, may be time varying, and we may need continual adjustments during online operation of the ANC system. This paper proposes a new method for online modeling of the acoustic feedback path in ANC systems. The proposed method uses three adaptive filters; a noise control filter, a feedback path modeling (FBPM) filter, and an adaptive noise cancelation (ADNC) filter. The objective of ADNC filter is to remove the disturbance from the desired response of FBPM filter. In comparison with the existing method, which works only for predictable noise sources, the proposed method can work, as well, with the broadband noise sources. The computer simulations are carried out for narrowband (predictable) (case I) and broadband (random) noise sources (case II). It is demonstrated that the proposed method performs better than the existing method in both cases.",

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On active noise control systems with online acoustic feedback path modeling

Abstract

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Keywords

ASJC Scopus subject areas

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