留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

最大相关熵准则自适应滤波器的分数阶长算法

刘春辉 齐越 丁文锐 张文秋

刘春辉, 齐越, 丁文锐, 等 . 最大相关熵准则自适应滤波器的分数阶长算法[J]. 北京航空航天大学学报, 2016, 42(2): 413-420. doi: 10.13700/j.bh.1001-5965.2015.0137
引用本文: 刘春辉, 齐越, 丁文锐, 等 . 最大相关熵准则自适应滤波器的分数阶长算法[J]. 北京航空航天大学学报, 2016, 42(2): 413-420. doi: 10.13700/j.bh.1001-5965.2015.0137
LIU Chunhui, QI Yue, DING Wenrui, et al. Fractional tap-length algorithm for adaptive filters under maximum correntropy criterion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2): 413-420. doi: 10.13700/j.bh.1001-5965.2015.0137(in Chinese)
Citation: LIU Chunhui, QI Yue, DING Wenrui, et al. Fractional tap-length algorithm for adaptive filters under maximum correntropy criterion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2): 413-420. doi: 10.13700/j.bh.1001-5965.2015.0137(in Chinese)

最大相关熵准则自适应滤波器的分数阶长算法

doi: 10.13700/j.bh.1001-5965.2015.0137
基金项目: 国家自然科学基金(61450008,61301004)
详细信息
    作者简介:

    刘春辉 男,博士研究生,工程师。主要研究方向:数据链、自适应信号处理和图像融合。Tel.:010-82339906 E-mail:liuchunhui2134@126.com;丁文锐 女,博士,研究员。主要研究方向:数据链、计算机视觉和人工智能。Tel.:010-82339906 E-mail:ding@buaa.edu.cn

    通讯作者:

    丁文锐,Tel.:010-82339906 E-mail:ding@buaa.edu.cn

  • 中图分类号: TN911.72

Fractional tap-length algorithm for adaptive filters under maximum correntropy criterion

  • 摘要: 对自适应滤波器最佳阶长的准确估计可以有效平衡自适应算法的稳态性能与计算复杂度,而基于最小均方差(MMSE)准则的变阶长最小均方(LMS)算法在非高斯噪声环境下的收敛性能变差。针对这一问题,提出一种最大相关熵准则(MCC)自适应滤波器的分数阶长(FT)算法——FT-MCC算法。该算法从MCC自适应滤波器最佳阶长的定义出发,利用不同阶长滤波器产生的相关熵之差实现阶长更新。理论分析和实验表明:相比现有变阶长最小均方算法,FT-MCC算法在非高斯噪声环境中具有较强的鲁棒性;通过恰当的参数选择,算法可较好地实现对最佳阶长的跟踪和估计。

     

  • [1] TAN Y,HE Z Q,TIAN B Y.A novel generalization of modified LMS algorithm to fractional order[J].IEEE Signal Processing Letters,2015,22(9):1244-1248.
    [2] SCHOBER R,GERSTACKER W H,LAMPE A.Non-coherent MMSE interference suppression for DS-CDMA[J].IEEE Transactions on Communications,2002,50(4):577-587.
    [3] SLOCK D T M.On the convergence behavior of the LMS and the normalized LMS algorithms[J].IEEE Transactions on Signal Processing,1993,41(9):2811-2825.
    [4] RIERA-PALOU F,NORAS J M,CRUICKSHANK D G M.Linear equalizers with dynamic and automatic length selection[J].Electronics Letters,2001,37(25):1553-1554.
    [5] GU Y T,TANG K,CUI H J.LMS algorithm with gradient descent filter length[J].IEEE Signal Processing Letters,2004,11(3):305-307.
    [6] GONG Y,COWAN C F N.An LMS style variable tap-length algorithm for structure adaptation[J].IEEE Transactions on Signal Processing,2005,53(7):2400-2407.
    [7] LI L L,CHAMBERS J A.A novel adaptive leakage factor scheme for enhancement of a variable tap-length learning algorithm[C]//IEEE International Conference on Acoustics,Speech and Signal Processing.Piscataway,NJ:IEEE Press,2008:3837-3840.
    [8] XU D J,YIN B,WANG W,et al.Variable tap-length LMS algorithm based on adaptive parameters for TDL structure adaption[J].IEEE Signal Processing Letters,2014,21(7):809-813.
    [9] LIU Z Y.Variable tap-length linear equaliser with variable tap-length adaptation step-size[J].Electronics Letters,2014,50(8):587-589.
    [10] ERDOGMUS D,PRINCIPE J C.Generalized information potential criterion for adaptive system training[J].IEEE Transactions on Neural Networks,2002,13(5):1035-1044.
    [11] SINGH A,PRINCIPE J C.Using correntropy as a cost function in linear adaptive filters[C]//International Joint Conference on Neural Networks.Piscataway,NJ:IEEE Press,2009:2950-2955.
    [12] LIU W,POKHAREL P P,PRINCIPE J C.Correntropy:Properties and applications in non-Gaussian signal processing[J].IEEE Transactions on Signal Processing,2007,55(11):5286-5298.
    [13] CHEN B,LEI X,LIANG J,et al.Steady-state mean-square error analysis for adaptive filtering under the maximum correntropy criterion[J].IEEE Signal Processing Letters,2014,21(7):880-884.
    [14] HE R,ZHENG W S,HU B G.Maximum correntropy criterion for robust face recognition[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,2011,33(8):1561-1576.
    [15] ZHAO S,CHEN B,PRINCIPE J C.Kernel adaptive filtering with maximum correntropy criterion[C]//Proceedings of International Joint Conference on Neural Networks.Piscataway,NJ:IEEE Press,2011:2012-2017.
    [16] WEI X H,CRUICKSHANK D G M,MULGREW B,et al.A unified approach to dynamic length algorithms for adaptive linear equalizers[J].IEEE Transactions on Signal Processing,2007,55(3):908-920.
    [17] ZHANG Y,LI N,CHAMBER J A,et al.Steady-state performance analysis of a variable tap-length LMS algorithm[J].IEEE Transactions on Signal Processing,2008,56(2):839-845.
    [18] HAYKIN S.Adaptive filter theory[M].4th ed.Englewood Cliffs,NJ:Prentice Hall Press,1996:276-277.
    [19] 刘明骞,李兵兵,曹超凤.非高斯噪声下数字调制信号识别方法[J].电子与信息学报,2013,35(1):85-91. LIU M Q,LI B B,CAO C F.Recognition method of digital modulation signals in non Gaussian noise[J].Journal of Electronics & Information Technology,2013,35(1):85-91(in Chinese).
  • 加载中
计量
  • 文章访问数:  828
  • HTML全文浏览量:  2
  • PDF下载量:  558
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-03-12
  • 刊出日期:  2016-02-20

目录

    /

    返回文章
    返回
    常见问答