Robust Augmented Diffusion Active Noise Control Algorithm Based on Generalized Maximum Correntropy

Multichannel active noise control (ANC) is a noise cancellation technology designed to effectively eliminate low-frequency noise, thereby creating a large quiet zone in a given space. Distributed ANC systems based on diffusion strategies have garnered significant attention due to their low computational complexity and flexible scalability. However, recent related works have largely overlooked the interference of impulsive noise on these systems, developing algorithms solely based on the mean square error (MSE) criterion. This paper addresses this gap by employing the generalized maximum correntropy criterion (GMCC) and introducing an augmented weight vector for the control filter. Consequently, we develop an augmented diffusion filtered-x GMCC (ADFxGMCC) algorithm. Finally, computer simulations validate the robust noise reduction performance of the proposed algorithm in asymmetric ANC systems under impulsive noise interference.