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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/207
Title: A robust evolutionary feedforward active noise control system using Wilcoxon norm and particle swarm optimization algorithm
Authors: George N.V.
Panda G.
Keywords: Active noise control
FxLMS algorithm
Particle swarm optimization
Wilcoxon norm
Issue Date: 2012
Citation: 12
Abstract: The conventional filtered-x least mean square (FxLMS) algorithm commonly employed for active noise control (ANC) is sensitive to disturbances acquired by the error microphone and yields poor performance in such scenario. To circumvent this problem, in this paper, a Wilcoxon FxLMS (WFxLMS) algorithm is proposed and used in the design of an efficient ANC which is robust to outliers in the secondary path and immune to burst noise acquired by the error microphone. It is demonstrated through simulation study that under such situation the proposed algorithm outperforms the traditional FxLMS algorithm. A particle swarm optimization (PSO) algorithm based robust ANC system, which does not require the modeling of the secondary path is also derived in the paper. Improved performance of the robust evolutionary ANC system over L2 norm based evolutionary ANC system is also shown. � 2011 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2012.01.038
http://10.10.32.48:8080/jspui/handle/2008/207
Appears in Collections:Research Publications

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