• DocumentCode
    1718453
  • Title

    Fractionally spaced blind maximum likelihood sequence detection over fast fading fractionally-spaced channels

  • Author

    Reader, David J. ; Cowley, William G.

  • Author_Institution
    Commun. Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
  • fYear
    1996
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    Maximum likelihood sequence detection (MLSD) for channels with intersymbol interference has previously required estimation of the channel impulse response. Adaptive estimators often fail to track adequately and are a major source of detector deterioration. Symbol-spaced detectors are also sensitive to both the sample timing phase, φg, of the received signal and to channels with fractional multipath delay spread, tm. A novel fractionally-spaced (FS) blind maximum likelihood sequence detection (BMLSD) formulation without the need for external channel estimation is proposed. The sensitivity of the FS BMLSD to both φg and tm is investigated via simulation over several FS channels. The results indicate substantial improvement compared to the conventional symbol-spaced MLSD
  • Keywords
    delays; estimation theory; fading; intersymbol interference; maximum likelihood detection; multipath channels; time-varying channels; adaptive estimators; channel impulse response; covariance matrix; detector deterioration; fractional multipath delay spread; fractionally spaced blind sequence detection; intersymbol interference; maximum likelihood sequence detection; received signal; sample timing phase; simulation; symbol spaced detectors; symbol-spaced MLSD; time varying channel; 1f noise; Additive noise; Conferences; Convolution; Covariance matrix; Digital filters; Digital signal processing; Equations; Fading; Maximum likelihood detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop Proceedings, 1996., IEEE
  • Conference_Location
    Loen
  • Print_ISBN
    0-7803-3629-1
  • Type

    conf

  • DOI
    10.1109/DSPWS.1996.555564
  • Filename
    555564