• DocumentCode
    1671491
  • Title

    A New Blind Equalization Scheme for QAM Systems Based on Fractionally-Spaced Equalizer

  • Author

    Shun-lan, Liu ; Ming-Zeng, Dai

  • Author_Institution
    Hangzhou Dianzi Univ., Hangzhou
  • fYear
    2007
  • Firstpage
    850
  • Lastpage
    853
  • Abstract
    A new blind equalization scheme is proposed based on fractionally-spaced equalizer, which referred to concurrent modified square contour algorithm (MSCA) and a novel soft decision-directed (SDD) adaptation. This proposed blind equalization scheme (MSCA+SDD) may be viewed as operating a MSCA fractionally-spaced equalizer which provides good steady-state equalization performance and global convergence and a SDD fractionally-spaced equalizer which helps to accelerate convergence and reduce inter-symbol interference concurrently. Simulation using a fractionally-spaced equalizer for a practica microwave channel is evaluated to compare the proposed algorithm with the MSCA and SCA. Theoretical analysis and sim ulation results demonstrate that MSCA+SDD using fractionally spaced equalizer improves equalization performance by increaS´ ing the convergence speed and decreasing the residual inter symbol interference.
  • Keywords
    blind equalisers; interference suppression; intersymbol interference; quadrature amplitude modulation; QAM systems; blind equalization scheme; fractionally-spaced equalizer; microwave channel; modified square contour algorithm; residual intersymbol interference; soft decision-directed adaptation; Acceleration; Analytical models; Blind equalizers; Communication systems; Constellation diagram; Convergence; Decision feedback equalizers; Intersymbol interference; Performance analysis; Quadrature amplitude modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
  • Conference_Location
    Kokura
  • Print_ISBN
    978-1-4244-1473-4
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2007.4348183
  • Filename
    4348183