Inverse Tangent Based Algorithm for Constrained Adaptive IIR Notch Filter

The new inverse tangent based adaptive algorithm for a second-order constrained adaptive IIR notch filter is presented in this paper. The proposed algorithm employs the ratio of output to input signals as an error criterion where the inverse tangent value of the ratio is used to adapt the filter parameter. It is found that the proposed algorithm provides not only high speed convergence but also high impulse noise robustness. The simulation results confirm that the performance of the proposed algorithm has been improved over the conventional gradient based technique