• DocumentCode
    1272930
  • Title

    Property restoral approach to blind equalization of digital transmission channels

  • Author

    Oh, Kil Nam ; Park, Jae Hong

  • Author_Institution
    Radio Technol. Sect., Electron. & Telecommun. Res. Inst., Taejon, South Korea
  • Volume
    43
  • Issue
    3
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    544
  • Lastpage
    549
  • Abstract
    A new algorithm using the property restoral approach for adaptive blind equalization of digital transmission channels is proposed. According to residual intersymbol interference (ISI) levels at the equalizer output, the proposed algorithm adopts a single-level radius or a multi-level radius to form the error signal to be minimized. Thus, it is possible to reduce the steady-state error and improve the convergence speed of conventional property restoral algorithms. We examined the performance improvement obtained by the proposed algorithm over the constant modulus algorithm (CMA), dual-mode Godard algorithm (DMGA), and radius-directed equalization (RDE) algorithm for 16- and 32-QAM signals
  • Keywords
    adaptive equalisers; digital communication; error analysis; intersymbol interference; minimisation; quadrature amplitude modulation; telecommunication channels; 16-QAM signals; 32-QAM signals; ISI; adaptive blind equalization; constant modulus algorithm; convergence speed; digital transmission channels; dual-mode Godard algorithm; error signal; multi-level radius; performance improvement; property restoral approach; radius-directed equalization algorithm; residual intersymbol interference; single-level radius; steady-state error; AWGN; Adaptive equalizers; Baseband; Blind equalizers; Convergence; Digital communication; Intersymbol interference; Quadrature amplitude modulation; Signal restoration; Steady-state;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/30.628675
  • Filename
    628675