AN ADAPTIVE NOTCH FILTER WITH IMPROVED TRACKING PROPERTIES

In this paper, an analysis of the properties of an adaptive notch filt er (ANF) applied to time-varying frequency tracking is presented. Star ting from the derivation of an expression for ANF output power, asympt otically optimal values for the pole contraction and forgetting factor s are derived for recursive prediction error (RPE) type ANF algorithms . Based on the obtained results, a new ANF algorithm that includes ada ptation of both pole contraction and forgetting factors is proposed. T he given experimental results confirm the theoretical conclusions and show that the proposed algorithm is highly efficient in practice.