Active noise cancellation algorithms for impulsive noise

被引：32

作者：

Li, Peng ^{[1
]}

Yu, Xun ^{[1
,2
]}

机构：

[1] Univ Minnesota, Dept Mech & Ind Engn, Duluth, MN 55812 USA

[2] Univ N Texas, Dept Mech & Energy Engn, Denton, TX 76203 USA

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2013年 / 36卷 / 02期

基金：

美国国家卫生研究院;

关键词：

Active noise control; Impulsive noise; Adaptive filter; Nonlinear algorithm; FXLMM; Stability; STABLE PROCESSES; ATTENUATION; PERFORMANCE;

D O I：

10.1016/j.ymssp.2012.10.017

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Impulsive noise is an important challenge for the practical implementation of active noise control (ANC) systems. The advantages and disadvantages of popular filtered-X least mean square (FXLMS) ANC algorithm and nonlinear filtered-X least mean M-estimate (FXLMM) algorithm are discussed in this paper. A new modified FXLMM algorithm is also proposed to achieve better performance in controlling impulsive noise. Computer simulations and experiments are carried out for all three algorithms and the results are presented and analyzed. The results show that the FXLMM and modified FXLMM algorithms are more robust in suppressing the adverse effect of sudden large amplitude impulses than FXLMS algorithm, and in particular, the proposed modified FXLMM algorithm can achieve better stability without sacrificing the performance of residual noise when encountering impulses. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：630 / 635

页数：6

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