A filtered-X RLS algorithm for nonlinear active noise control

Authors:
K. J. Kim;J. K. Kim;I. S. Kim;S. W. Nam
Affiliations:
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

Citing 5
Cited 0

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Filtered-X affine projection algorithms for active noise control using Volterra filters

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Partially decoupled Volterra filters: formulation and LMSadaptation

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Stochastic analysis of the filtered-X LMS algorithm in systems withnonlinear secondary paths

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Adaptive Volterra filters for active control of nonlinear noiseprocesses

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Abstract

In this paper, a filtered-x recursive least squares (FX-RLS) algorithm based on adaptive 3rd-order Volterra filtering is proposed for nonlinear active noise control (ANC) of systems with a nonlinear primary acoustic path. The simulation results show that the proposed approach yields faster convergence, compared with the conventional methods (e.g., FX-NLMS and FX-GSPAP), for the nonlinear ANC.