A filtered-x VSS-NSAF active noise control algorithm robust to impulsive noise through the application of step-size scaler

Abstract

This paper proposes an algorithm that actively controls the noise using a variable step-size normalized subband adaptive filter (VSS-NSAF). One of the properties of active noise control (ANC) system is that the system has a very long FIR filter coefficients by their long echo tails. Because of the property of the ANC system, NSAF algorithm is applied to reduce the computational complexity by partitioning the input and desired signals. The step size scaler is applied to prevent wrong update by impulsive noise. The step size scaler scales down the step size of VSS-NSAF algorithm when impulsive noise is detected. In adaptation step, the variable step size is applied to acheives fast convergence rate and small steady state error by the mean square deviation (MSD) analysis of the modified NSAF. Simulation results show that the proposed VSS-NSAF algorithm with step size scaler has much more better convergence property than fixed step-size algorithm. Show more