• DocumentCode
    3491643
  • Title

    Adaptively Varying Modulus Blind Equalization Algorithm Using Fractionally-Spaced Equalizer

  • Author

    Liu Shunlan ; Dai Mingzeng

  • Author_Institution
    Sch. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    1291
  • Lastpage
    1294
  • Abstract
    A new blind equalization scheme for QAM systems is proposed, which is referred to adaptively varying modulus algorithm based on SCA (A VSCA). The A VSCA changes the SCA from single modulus to multi-modulus for the characteristics of the QAM systems and then adapts the zero- error contours adaptively according to the decision of the equalizer output. Simulation using a fractionally-spaced equalizer for a typical voice-band communication channel and a practical microwave channel is evaluated to compare the proposed algorithm with the CMA, GSA and SCA. Theoretical analysis and simulation results demonstrate that A VSCA improves equalization performance by increasing the convergence speed and decreasing the residual inter-symbol interference.
  • Keywords
    adaptive equalisers; blind equalisers; intersymbol interference; quadrature amplitude modulation; voice communication; QAM systems; adaptively varying modulus algorithm; blind equalization algorithm; constant modulus algorithm; fractional-spaced equalizer; generalized Sato algorithm; intersymbol interference; microwave channel; voice-band communication channel; zero-error contours; Adaptive equalizers; Analytical models; Blind equalizers; Communication channels; Communication systems; Constellation diagram; Convergence; Intersymbol interference; Performance analysis; Quadrature amplitude modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.328
  • Filename
    4340103