基于sigmoid函数的Volterra自适应有源噪声对消器

张家树; 肖先赐

基于sigmoid函数的Volterra自适应有源噪声对消器

张家树^{①②;肖先赐},
肖先赐

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出版历程
- 收稿日期: 2000-05-28
- 修回日期: 2001-07-05
- 刊出日期: 2002-04-19

Sigmoid-based Volterra adaptive active noise cancellation filters

Zhang Jiashu^{①②;肖先赐},
Xiao Xianci

摘要

摘要: 该文介绍了一种新颖的非线性自适应有源噪声对消器基于sigmoid函数的Volterra自适应有源噪声对消器,并采用输入信号和瞬时误差归一化的LMS自适应算法调整其系数。这种基于sigmoid函数的Volterra自适应有源噪声对消器具有参数少和便于实现的模快化结构等优点。仿真结果表明:这种基于sigmoid函数的Volterra自适应有源噪声对消系统具有良好的抗噪声性能。
- Volterra滤波器; 基于Sigmoid函数的Volterra自适应滤波器; 有源噪声对消
Abstract: A novel class of nonlinear adaptive active noise cancellation filter-sigmoid-based Volterra adaptive active noise cancellation filter is introduced. The normalized data and instantaneous error LMS algorithm is modified to update the coefficients of this sigmoid-based Volterra filter. Because the sigmoid-based Volterra adaptive filter, equivalent to second-order Volterra filter, is of the reduced coefficients and modularity, it is applied for adaptive active noise cancellation. Experimental results of adaptive active noise cancellation show that the proposed sigmoid-based Volterra adaptive active noise cancellation filter not only has good anti-noise performance, but also can be easily implemented.

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参考文献(1)

S. Haykin, Adaptive filter theory, 3rd ed., Englewood cliffs, NJ, Prentice-Hall, 1996, 1-10.[2]A. Zerguine, M. Bettayeb, C. F. N. Cown, Hybrid LMS-LMF algorithm for adaptive echo cancellation, IEE Proc. -Vis. Image Signal Process., 1999, 146(4), 173-180.[3]V.J. Mathews, Adaptive polynomial filters, IEEE Signal Processing Magazine, 1991, 8(4), 10-26.[4]G.M. Raz, B. Van Veen, Baseband Volterra filters for implemening carrier based nonlinearities.IEEE Trans. on SP., 1998, SP-46(1), 103-114.[5]E. Bilgliieri, et al., Adaptive cancellation of nonlinear intersymbol interference foi vioceband data transmission, IEEE J. On SAC., 1984, 2(5), 765-777.[6]E. Roy, R. W. Stewart, T. S. Durrani, High-order system identification with an adaptive recmsive second-order polynomial filter, IEEE Signal Processing Letters, 1996, 3(10), 276-279.[7]张永平,郑南宁,李翠华,图像边缘提取的自适应Volterra滤波器设计,电子学报,1999,27(4).75-78.[8]张家树,肖先赐,混沌时间序列的Volterra自适应预测,物理学报,2000,49(3).403-408.[9]Zhang Jia-Shu, Xiao Xian-Ci, Predicting hyperchaotic time series using higher-order nobkubear FIR filters, Chin. Phys. Lett., 2001, 18(3), 337-340.[10]张家树,肖先赐,混沌时间序列的自适应高阶非线性滤波预测,物理学报,2000 49(7),1220-1226.[11]Q. P. Li, H. K. Kwan, Nonlinear adaptive IIR digital filters for linear svstem modeling, IEEE Trans. on SP., 1995, SP-43(9), 2190-2193.[12]扬家兴,周舜云,神经网络自适应噪声对消器仿真,数据采集与处理,1998,13(1),74-77.[13]Zhang Jia-Shu, Wan Ji-Hong, Xian-Ci Xiao, Adaptive nonlinear feedback control of chaoticsystem based on reduced parameter quadratic predictor, Chinese Physics, 2001, 10(2), 97-102.[14]张家树,肖先赐,用一种少参数非线性自适应滤波器自适应预测低维混沌时间序列,物理学报,2000,49(12).2333-2339.

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