• DocumentCode
    1529376
  • Title

    A channel estimation using sliding window approach and tuning algorithm for MLSE

  • Author

    Song, Hyoung-Kyu

  • Author_Institution
    Syst. IC Res. Center, Korea Electron. Technol. Inst., Kyunggi, South Korea
  • Volume
    3
  • Issue
    7
  • fYear
    1999
  • fDate
    7/1/1999 12:00:00 AM
  • Firstpage
    211
  • Lastpage
    213
  • Abstract
    A simultaneous sliding window channel estimation and timing adjustment method is proposed for adaptive maximum-likelihood sequence equalizer (MLSE) in the global system for mobile communication (GSM) system, and also a tuning scheme based on least mean squared (LMS) algorithm is presented in order to improve the performance of equalizer. Simulation results show that the proposed channel estimation technique is effective for channel estimation of the adaptive equalizer.
  • Keywords
    adaptive equalisers; cellular radio; least mean squares methods; maximum likelihood sequence estimation; tuning; GSM system; LMS algorithm; MLSE; adaptive maximum-likelihood sequence equalizer; channel estimation; least mean squared algorithm; mobile communication; performance; simulation results; sliding window approach; timing adjustment method; tuning algorithm; tuning scheme; AWGN; Channel estimation; Equalizers; Finite impulse response filter; GSM; Maximum likelihood detection; Maximum likelihood estimation; Mobile communication; Quadrature phase shift keying; Timing;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/4234.775257
  • Filename
    775257