• DocumentCode
    302393
  • Title

    Extended MLSE diversity receiver for the time- and frequency-selective channel

  • Author

    Hart, Brian ; Taylor, D.P.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
  • Volume
    2
  • fYear
    1996
  • fDate
    23-27 Jun 1996
  • Firstpage
    874
  • Abstract
    This paper develops an MLSE diversity receiver for the time- and frequency-selective channel corrupted by additive Gaussian noise, when linear constellations are employed. The paper extends Ungerboeck´s derivation of the extended MLSE receiver for the purely frequency-selective channel to the more general channel with diversity. The new receiver structure and metric assume a known channel. The major contributions of this paper are as follows: (i) the derivation of a finite-complexity diversity receiver that is maximum likelihood (ML) for all linear channel models and sources of diversity; (ii) a benchmark, in that the new receiver´s performance is a lower bound on the performance of practical systems; (iii) insight into matched filtering and ML diversity receiver processing for the time- and frequency-selective channel; (iv) bounds on the new receiver´s BER for ideal channel state information (CSI), in a fast Rayleigh fading channel with multiple independently faded paths
  • Keywords
    Gaussian noise; Rayleigh channels; diversity reception; estimation theory; fading; matched filters; maximum likelihood detection; maximum likelihood estimation; radio receivers; time-varying channels; white noise; BER; CSI; Ungerboeck´s derivation; additive Gaussian noise; diversity receiver; extended MLSE receiver; fast Rayleigh fading channel; finite-complexity diversity receiver; frequency-selective channel; ideal channel state information; linear channel models; linear constellations; lower bound; matched filtering; maximum likelihood sequence estimation; multiple independently faded paths; time-selective channel; Additive noise; Bit error rate; Channel state information; Frequency diversity; Gaussian noise; Information filtering; Information filters; Matched filters; Maximum likelihood estimation; Nonlinear filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-7803-3250-4
  • Type

    conf

  • DOI
    10.1109/ICC.1996.541305
  • Filename
    541305