Adjoint nonlinear active noise control algorithm for virtual microphone

Controlling nonlinear noise processes at a virtual location involves higher computational complexity compared to traditional active noise control (ANC) at a physical sensor. In an attempt to reduce the computational burden, a filtered-error LMS based ANC algorithm is proposed in this paper for contr...

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Bibliographic Details
Published inMechanical systems and signal processing Vol. 27; pp. 743 - 754
Main Authors Das, Debi Prasad, Moreau, Danielle J., Cazzolato, Ben S.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.02.2012
Subjects
Active noise control
Adjoint LMS
Adjoints
Algorithms
Complexity
Computation
Filtered-error algorithm
FLANN
Noise
Nonlinear ANC
Nonlinearity
Position (location)
Virtual ANC
Virtual ANC
Adjoint LMS
FLANN
Filtered-error algorithm
Nonlinear ANC
Online AccessGet full text
ISSN0888-3270
1096-1216
DOI10.1016/j.ymssp.2011.09.012

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Summary:Controlling nonlinear noise processes at a virtual location involves higher computational complexity compared to traditional active noise control (ANC) at a physical sensor. In an attempt to reduce the computational burden, a filtered-error LMS based ANC algorithm is proposed in this paper for controlling a nonlinear noise process at a virtual location. The filtered-error based algorithm using the adjoint of the secondary path is used to develop both linear and nonlinear ANC controllers with the later based on the functional link artificial neural network. A computer simulation and real-time experimental study with detailed computational complexity analysis are presented to support the proposed algorithm.
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ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2011.09.012