• DocumentCode
    2111744
  • Title

    A new complex recurrent neural network equalizer for data communication

  • Author

    Hongrui Jiang ; Kyung Sup Kwak

  • Author_Institution
    Dept.of Electron. Eng., Inha Univ., Inchon
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1271
  • Abstract
    A new modified version called decision feedback complex recurrent neural network equalizer (DFCRNNE) is proposed with the study of complex recurrent neural network adaptive equalizer (CRNNE). Based on DFCRNNE, a modified real time recurrent learning (CRTRL) algorithm is developed. Simulation results show that DFCRNNE has better performance than the CRNNE based on traditional CRTRL algorithm in complex nonlinear channels with severe intersymbol interference (ISI) and nonlinear distortion.
  • Keywords
    data communication; decision feedback equalisers; intersymbol interference; recurrent neural nets; complex recurrent neural-network equalizer; data communication; intersymbol interference; modified real time recurrent learning algorithm; nonlinear channels; nonlinear distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7369-3
  • Type

    conf

  • DOI
    10.1109/ISIE.2002.1025972
  • Filename
    1025972
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2111744