Active noise control algorithm robust to noisy inputs and measurement impulsive noises

Abstract

This paper proposes an algorithm that can effectively remove noise when Gaussian noise is introduced into a reference microphone and impulsive noise is introduced into a target point in an active-noise-cancellation (ANC) system. We applied the normalized-least-mean-square (NLMS) algorithm, the most used in the adaptive filter algorithm, to the ANC environment. In the ANC environment, a compensation vector was calculated to compensate for the bias that occurs when Gaussian noise flows into the NLMS algorithm. In addition, a step-size scaler was proposed to prevent false update of the adaptive filter when impulsive noise occurred at the target point. Simulation results show that the proposed algorithm has better performance in the ANC environment than other algorithms.