Benefiting white noise in developing feedforward active noise control systems

Davari, Pooya & Hassanpour, Hamid (2008) Benefiting white noise in developing feedforward active noise control systems. In Communications in Computer and Information Science : Advances in Computer Science and Engineering, Springer Berlin Heidelberg, Kish Island, Iran, pp. 332-339.

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In many applications of active noise control (ANC), an online secondary path modelling method using a white noise as a training signal is required to ensure convergence of the system. The modelling accuracy and the convergence rate increase when a white noise with larger variance is used, however larger the variance increases the residual noise, which decreases performance of the system. The proposed algorithm uses the advantages of the white noise with larger variance to model the secondary path, but the injection is stopped at the optimum point to increase performance of the system. In this approach, instead of continuous injection of the white noise, a sudden change in secondary path during the operation makes the algorithm to reactivate injection of the white noise to adjust the secondary path estimation. Comparative simulation results shown in this paper indicate effectiveness of the proposed method.

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ID Code: 59574
Item Type: Conference Paper
Refereed: Yes
Keywords: Active noise Control, Feedforward, FxLMS, Online secondary path modelling
DOI: 10.1007/978-3-540-89985-3_41
ISBN: 9783540899853
ISSN: 1865-0929
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright Springer Berlin Heidelberg.
Copyright Statement: Conference proceedings published, by Springer Verlag, are available via SpringerLink
Deposited On: 03 May 2013 06:10
Last Modified: 26 Jul 2013 02:47

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