关键词: 声学；有源噪声控制；脉冲噪声；[&alpha, ]稳定分布；在线参数辨识

Abstract: Active noise control is a kind of active control method and has been widely used to obtain the attenuation of Gaussian noise signals. But for most of non-Gaussian impulsive noises, the traditional adaptive algorithms are not appropriate for controlling impulsive noise; the main reason is that there are no finite second-order moments for impulsive noise. In this paper, two kinds of on-line parameter identification algorithms based on the classical Filter-x LMS algorithm are presented, these algorithms are appropriate for the non-Gaussian impulsive noise. One is FxLMPest and FxLMADadapt algorithm based on on-line parameters identification to estimate characteristics exponent of impulsive noise with an SαS distribution; and the other is BDP algorithm based on a simple on-line recursive procedure to estimate amplitude thresholds of Sun’s method. Both methods do not need prior information of characteristics exponent and amplitude thresholds of impulsive noise, and the simulation results also show that the two methods can effectively suppress the impulsive noise, and its robust performance is significantly better than Filter-x LMS algorithm.

Key words: &alpha, -stable distribution