Maximum versoria criterion applied to hybrid active noise control algorithm for the impulsive noise

In the conventional hybrid active noise control (CHANC) algorithm, filtered-x least mean square (FXLMS) algorithm is used in both feedforward and feedback structures. However, FXLMS does not process reference signal error before updating weight vector, which leads to inadequate robustness of CHANC impulsive environment. To solve this problem, maximum versoria criterion incorporated into HANC (MVC-HANC) paper. Firstly, MVC-HANC employs a novel nonlinear function compress signal. Secondly, proposed uses modified sigmoid constrain further improve attenuation performance, exponential adjust step-size adaptively. Simulation experiment results demonstrate that has better performance than algorithm.