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基于sigmoid函數(shù)的Volterra自適應(yīng)有源噪聲對消器

張家樹,  肖先賜

張家樹, 肖先賜. 基于sigmoid函數(shù)的Volterra自適應(yīng)有源噪聲對消器[J]. 電子與信息學(xué)報, 2002, 24(4): 461-466.
引用本文: 張家樹, 肖先賜. 基于sigmoid函數(shù)的Volterra自適應(yīng)有源噪聲對消器[J]. 電子與信息學(xué)報, 2002, 24(4): 461-466.
Zhang Jiashu, Xiao Xianci. Sigmoid-based Volterra adaptive active noise cancellation filters[J]. Journal of Electronics & Information Technology, 2002, 24(4): 461-466.
Citation: Zhang Jiashu, Xiao Xianci. Sigmoid-based Volterra adaptive active noise cancellation filters[J]. Journal of Electronics & Information Technology, 2002, 24(4): 461-466.

基于sigmoid函數(shù)的Volterra自適應(yīng)有源噪聲對消器

Sigmoid-based Volterra adaptive active noise cancellation filters

  • 摘要: 該文介紹了一種新穎的非線性自適應(yīng)有源噪聲對消器基于sigmoid函數(shù)的Volterra自適應(yīng)有源噪聲對消器,并采用輸入信號和瞬時誤差歸一化的LMS自適應(yīng)算法調(diào)整其系數(shù)。這種基于sigmoid函數(shù)的Volterra自適應(yīng)有源噪聲對消器具有參數(shù)少和便于實現(xiàn)的?？旎Y(jié)構(gòu)等優(yōu)點。仿真結(jié)果表明:這種基于sigmoid函數(shù)的Volterra自適應(yīng)有源噪聲對消系統(tǒng)具有良好的抗噪聲性能。
    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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  • 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]張永平,鄭南寧,李翠華,圖像邊緣提取的自適應(yīng)Volterra濾波器設(shè)計,電子學(xué)報,1999,27(4).75-78.[8]張家樹,肖先賜,混沌時間序列的Volterra自適應(yīng)預(yù)測,物理學(xué)報,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]張家樹,肖先賜,混沌時間序列的自適應(yīng)高階非線性濾波預(yù)測,物理學(xué)報,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]揚家興,周舜云,神經(jīng)網(wǎng)絡(luò)自適應(yīng)噪聲對消器仿真,數(shù)據(jù)采集與處理,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]張家樹,肖先賜,用一種少參數(shù)非線性自適應(yīng)濾波器自適應(yīng)預(yù)測低維混沌時間序列,物理學(xué)報,2000,49(12).2333-2339.
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出版歷程
  • 收稿日期:  2000-05-28
  • 修回日期:  2001-07-05
  • 刊出日期:  2002-04-19

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