用于脉冲噪声的有源噪声消除算法。

Active noise cancellation algorithms for impulsive noise.

作者信息

Li Peng, Yu Xun

机构信息

Department of Mechanical & Industrial Engineering, University of Minnesota Duluth, MN 55812, USA.

Department of Mechanical & Industrial Engineering, University of Minnesota Duluth, MN 55812, USA ; Department of Mechanical and Energy Engineering, University of North Texas, Denton, TX 76203, USA.

出版信息

Mech Syst Signal Process. 2013 Apr 1;36(2). doi: 10.1016/j.ymssp.2012.10.017.

DOI:10.1016/j.ymssp.2012.10.017

PMID:24363493

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3866923/

Abstract

Impulsive noise is an important challenge for the practical implementation of active noise control (ANC) systems. The advantages and disadvantages of popular filtered- 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.

摘要

脉冲噪声是有源噪声控制（ANC）系统实际应用中的一项重要挑战。本文讨论了常用的滤波最小均方（FXLMS）ANC算法和非线性滤波-X最小均方M估计（FXLMM）算法的优缺点。还提出了一种新的改进型FXLMM算法，以在控制脉冲噪声方面实现更好的性能。对这三种算法都进行了计算机仿真和实验，并给出和分析了结果。结果表明，与FXLMS算法相比，FXLMM算法和改进型FXLMM算法在抑制突然大幅脉冲的不利影响方面更具鲁棒性，特别是所提出的改进型FXLMM算法在遇到脉冲时能够在不牺牲残余噪声性能的情况下实现更好的稳定性。