A Filtered-X RLS Algorithm for Nonlinear Active Noise Control
نویسنده
چکیده
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. Key-Words: Nonlinear ANC, Volterra filtering, FX-LMS, FX-RLS, FX-GSPAP.
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