A New Variable Step Size Algorithm Based Hybrid Active Noise Control System for Gaussian Noise with Impulsive Interference

Abstract

Noise containing both strong narrowband and broadband components generated by rotating machine occur in many situations where active noise control is desirable. Such noise may be reduced by hybrid active noise control (HANC) methods, as shown in previous work. However, the performance of conventional HANC methods decrease when impulsive interference occurs. To improve the tracking and robustness of such HANC systems, a new hybrid noise control system with anti-pulse variable step size algorithm (APV-HANC) is proposed. By using new variable step size method and HANC structure, the APV-HANC method has better tracking and robustness performance of the whole system when impulsive noise occurs. Theoretical analysis and simulations confirms the superior performance of the proposed method.