Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: A nonlinear active noise control algorithm for virtual microphones controlling chaotic noise
Author: Das, D.
Moreau, D.
Cazzolato, B.
Citation: Journal of the Acoustical Society of America, 2012; 132(2):779-788
Publisher: Acoustical Soc Amer Amer Inst Physics
Issue Date: 2012
ISSN: 0001-4966
Statement of
Debi Prasad Das, Danielle Moreau and Ben S. Cazzolato
Abstract: In active noise control (ANC) systems, virtual microphones provide a means of projecting the zone of quiet away from the physical microphone to a remote location. To date, linear ANC algorithms, such as the filtered-x least mean square (FXLMS) algorithm, have been used with virtual sensing techniques. In this paper, a nonlinear ANC algorithm is developed for a virtual microphone by integrating the remote microphone technique with the filtered-s least mean square (FSLMS) algorithm. The proposed algorithm is evaluated experimentally in the cancellation of chaotic noise in a one-dimensional duct. The secondary paths evaluated experimentally exhibit non-minimum phase response and hence poor performance is obtained with the conventional FXLMS algorithm compared to the proposed FSLMS based algorithm. This is because the latter is capable of predicting the chaotic signal found in many physical processes responsible for noise. In addition, the proposed algorithm is shown to outperform the FXLMS based remote microphone technique under the causality constraint (when the propagation delay of the secondary path is greater than the primary path). A number of experimental results are presented in this paper to compare the performance of the FSLMS algorithm based virtual ANC algorithm with the FXLMS based virtual ANC algorithm.
Keywords: Least-Squares Analysis; Sound Spectrography; Transducers; Noise; Algorithms; Nonlinear Dynamics; Acoustics; Models, Theoretical; Signal Processing, Computer-Assisted; User-Computer Interface
Rights: Copyright © 2012 Acoustical Society of America
RMID: 0020121826
DOI: 10.1121/1.4731227
Appears in Collections:Mechanical Engineering publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.