关键词: 声学, 有源噪声控制, 脉冲噪声, M―估计

Abstract: The classical Filter-x least mean square (FxLMS) algorithm has been widely used in active noise control, but its performance would degrade dramatically in the presence of impulsive noise. In this paper, a new adaptive algorithm with nonlinear devices based on the concept of robust statistics has been presented, whose objective function is the M-estimate function instead of the mean square error(MSE). In this paper, four different M-estimate functions such as Huber function and Hampel’s three parts redescending M-estimate function are used as objective function and computer simulations are carried out to verify the efficiency of the presented algorithm for active impulsive noise control. Compared with the adding windows algorithm modified by Japanese scholar Akhtar, the simulation results also show that the performance of the presented algorithm has a better convergence.