Active vibration control algorithm for impulsive noise

Impulsive noise is an important challenge for the engineering implementation of active vibration control systems. It can generates larger amplitude outputs of the adaptive filter which are prohibited in practical active vibration control system and destroys the updated stability of the algorithm. An improved filtered-x least mean square algorithm is proposed for impulsive noise in this paper. The proposed algorithm process the reference signal with a new approach which uses a finite impulse response filter. The outputs of the adaptive filter with large amplitudes will be limited through this approach. In order to improve the updated stability, the updating formula of the filter coefficients in the proposed algorithm is derived from a kind of minimization criterion that minimizes the summation of each squared Euclidean norm of difference between the currently updated coefficient vectors and past coefficient vectors. The effectiveness of the improved filter-x least mean square algorithm is proved through simulations comparing with some existing algorithms.