Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 20Issue 4
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2011> 20(4): 546-551
MAO Zhong-yang, WANG Hong-xing, LI Jun, ZHAO Zhi-yong, SONG Heng. Adaptive blind equalizer based on least square support vector machine[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(4): 546-551.
Citation: MAO Zhong-yang, WANG Hong-xing, LI Jun, ZHAO Zhi-yong, SONG Heng. Adaptive blind equalizer based on least square support vector machine[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(4): 546-551.
shu

Adaptive blind equalizer based on least square support vector machine

  • Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China

  • Received Date:2011-09-08
    Abstract
  • An adaptive blind support vector machine equalizer (ABSVME) is presented in this paper. The method is based upon least square support vector machine (LSSVM), and stems from signal feature reconstruction idea. By oversampling the output of a LSSVM equalizer and exploiting a reasonable decorrelation cost function design, the method achieves fine online channel tracing with Kumar express algorithm and static iterative learning algorithm incorporated. The method is verified through simulation and compared with other nonlinear equalizers. The results show that it provides excellent performance in nonlinear equalization and time-varying channel tracing. Although a constant module equalization algorithm requires that the signal has characteristic of constant module, this method has no such requirement.
    • FullText(HTML)
  • loading
    • References (12)
  • [1]
    Sebald D J, Bucklew J A. Support vector machine techniques for nonlinear equalization[J]. IEEE Trans Signal Processing, 2000, 48(10): 3217-3226.
    [2]
    Chen S, Gunn S, Harris C J. Decision feedback equalizer design using support vector machines[J]. Proc Inst Elect Eng Vision, Image, Signal Processing, 2000, 147(3): 213-219.
    [3]
    Albu F, Martinez D. The application of support vector machines with Gaussian kernels for overcoming co-channel interference[C]//Neural Networks for Signal Processing IX, Proceedings of the 1999 IEEE Signal Processing Society Workshop. Madison, NJ, USA: IEEE,1999:49-57.
    [4]
    Chen S, Samingan A K, Hanzo L. Support vector machine multiuser receiver for DS-CDMA signals in multipath channels[J]. IEEE Trans Neural Networks, 2001, 12(5): 604-611.
    [5]
    Guo Yecai, Ji Tongying. A support vector machine blind equalization algorithm based on orthogonal wavelet transform[C]//2010 Second Pacific-Asia Conference on Circuits,Communications and System(PACCS). Madision, NJ, USA: IEEE,2010: 129-132.
    [6]
    Santamaría I, Pantaleon C, Vielva L, et al. Blind equalization of constant modulus signals using support vector machines[J]. IEEE Trans Signal Processing, 2004, 52(6): 1773-1782.
    [7]
    Tong L, Xu G, Kailath T. A new approach to blind identification and equalization of multipath channels[C]//1991 Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems and Computers. New York, USA: ACPG, 1991: 856-860.
    [8]
    Liu R W, Xu G. A fundamental theorem for multiple-channel blind equalization[J]. IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, 1997, 44(5): 472-473.
    [9]
    Zhang Xianda. Matrix analyzing and applications[M]. Beijing: Tsinghua University Press, 2008.(in Chinese)
    [10]
    Neves A, Panazio C. A class of channels resulting in Ⅲ-convergence for CMA in decision feedback equalizers[J]. IEEE Trans on Signal Processing, 2010, 58(11): 5736-5743.
    [11]
    Giannakis G B, Yua Y, Stoica P, et al. Signal processing advances in wireless and mobile communications[M]. New York, USA: Prentice Hall, Upper Saddle River, 2004.
    [12]
    Proakis J G. Digital communications[M], 5ed. New York, USA: McGraw-Hill Companies Inc,2009.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (825) PDF downloads(204) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map