噪声与振动控制Issue(1)：16-21,6.DOI:10.3969/j.issn.1006-1335.2013.01.004
脉冲噪声的最小均值M-估计有源控制算法
Least Mean M-estimate Algorithm for Active Control of Impulsive Noise
摘要
Abstract
The classical Filter-x least mean square (Fx LMS) algorithm has been widely used in active noise control (ANC), but its performance would degrade dramatically if there were impulsive noise. In this paper, a new adaptive algorithm based on the concept of robust statistics was presented, whose objective function is the M-estimate function instead of the mean square error (MSE). Four different M-estimate functions, such as Huber function and Hampel’s three parts of re-descending M-estimate function, were used as the objective function and computer simulations were carried out to verify the efficiency of the presented algorithm for active impulsive noise control. The simulation results show that compared with the adding-windows algorithm modified by Japanese scholar Akhtar, the performance of the presented algorithm can eliminate the impulsive noise effectively and has a better convergence.关键词
声学/有源噪声控制/脉冲噪声/M-估计Key words
acoustics/active noise control/impulsive noise/M-estimate分类
通用工业技术引用本文复制引用
周浩,周亚丽,张奇志..脉冲噪声的最小均值M-估计有源控制算法[J].噪声与振动控制,2013,(1):16-21,6.基金项目
国家自然基金(11172047) （11172047）
北京市属高等学校人才强教深化计划资助项目(PHR201106131) （PHR201106131）
