On the development of adaptive hybrid active noise control system for effective mitigation of nonlinear noise

Authors:
Nithin V. George;Ganapati Panda
Affiliations:
School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, India;School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, India
Venue:
Signal Processing
Year:
2012

Citing 8
Cited 2

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On the BIBO Stability Condition of Adaptive Recursive FLANN Filters With Application to Nonlinear Active Noise Control

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Review: Advances in active noise control: A survey, with emphasis on recent nonlinear techniques

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Abstract

The presence of nonlinearities as well as acoustic feedback deteriorates the cancellation performance of the conventional filtered-x LMS (FxLMS) algorithm based active noise control (ANC) systems. With an objective to improve the performance, a novel filtered-su LMS (FsuLMS) algorithm based ANC system which employs a convex combination of an adaptive IIR filter with a functional link artificial neural network (FLANN) is proposed in this paper. The corresponding learning algorithm of the ANC system is derived and used in the simulation study for performance evaluation. Simulation study reveals enhanced performance of the proposed system over that of its component filters.