• DocumentCode
    2953667
  • Title

    Blind equalization Using ν- support vector regressor for constant modulus signals

  • Author

    Liu, Feng ; An, Hu-cheng ; Li, Jia-ming ; Ge, Lin-dong

  • Author_Institution
    Inf. Sci. & Technol. Inst., Zhengzhou
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    The support vector machine has been recently developed for blind equalization of constant modulus signals. In this paper we propose to use a v-support vector regressor (nu-SVR) for blindly equalizing multipath channels because of the high generalization ability of the SVR for short burst sequences. A weighted least square procedure is presented for solving the blind nu-SVR equalizer. The performance of the proposed algorithm is analyzed by means of computer simulations.
  • Keywords
    blind equalisers; blind source separation; least squares approximations; multipath channels; regression analysis; support vector machines; telecommunication computing; blind equalizing multipath channel; constant modulus signal; short burst sequence; support vector machine; support vector regression; weighted least square procedure; Blind equalizers; Convergence; Intersymbol interference; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4633783
  • Filename
    4633783