Improving performance of FxRLS algorithm for active noise control of impulsive noise
Active noise control (ANC) systems employing adaptive filters suffer from stability issues in
the presence of impulsive noise. New impulsive noise control algorithms based on filtered-x
recursive least square (FxRLS) algorithm are presented. The FxRLS algorithm gives better
convergence than the filtered-x least mean square (FxLMS) algorithm and its variants but
lacks robustness in the presence of high impulsive noise. In order to improve the robustness
of FxRLS algorithm for ANC of impulsive noise, two modifications are suggested. First …
the presence of impulsive noise. New impulsive noise control algorithms based on filtered-x
recursive least square (FxRLS) algorithm are presented. The FxRLS algorithm gives better
convergence than the filtered-x least mean square (FxLMS) algorithm and its variants but
lacks robustness in the presence of high impulsive noise. In order to improve the robustness
of FxRLS algorithm for ANC of impulsive noise, two modifications are suggested. First …
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