噪声与振动控制Issue(2)：138-143,6.DOI:10.3969/j.issn.1006-1335.2013.02.031
在线参数辨识的脉冲噪声有源控制
Active Control of Impulsive Noise Based on On-line Parameter Identification
摘要
Abstract
Active noise control is a kind of active control methods and has been widely used to attenuate the noise which yields Gaussian distribution. But for most of non-Gaussian impulsive noises, the traditional adaptive algorithms are not appropriate for controlling the impulsive noise. The main reason is that there is no finite second-order moment for the impulsive noise. In this paper, two kinds of on-line parameter identification algorithms based on the classical Filter-x LMS algorithm were presented which are appropriate for non-Gaussian impulsive noise. One is FxLMPest and FxLMADadapt algorithms 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 SKM and AM algorithms presented by Sun et al, which uses a simple on-line recursive procedure to estimate amplitude thresholds. 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.关键词
声学/有源噪声控制/脉冲噪声/α稳定分布/在线参数辨识Key words
acoustics/active noise control/impulsive noise/α-stable distribution/on-line parameters identification分类
通用工业技术引用本文复制引用
杨琴,周亚丽,张奇志..在线参数辨识的脉冲噪声有源控制[J].噪声与振动控制,2013,(2):138-143,6.基金项目
国家自然科学基金委员会项目（11172047）；北京市属高等学校人才强教深化计划资助项目 （）
