• DocumentCode
    3513840
  • Title

    MLSE receiver using the particle filtering over a multipath fading channel

  • Author

    Bertozzi, Tanya ; Le Ruyet, Didier ; Rigal, Gilles ; Vu-Thien, Han

  • Author_Institution
    Diginext, Aix En Provence, France
  • Volume
    5
  • fYear
    2003
  • fDate
    11-15 May 2003
  • Firstpage
    3565
  • Abstract
    Instead of reduced-state decision-feedback sequence estimation (DFSE) equalization which is the state-of-the-art solution for the complexity reduction of the full-state Viterbi decoder over a multipath fading channel, we propose a new reduced complexity maximum likelihood sequence detector (MLSD) based on the particle filtering technique. The computational complexity of this new detector is adapted according to the signal-to-noise ratio. Compared to the DFSE detector the particle detector offers a better trade-off between performance and computational complexity.
  • Keywords
    Monte Carlo methods; computational complexity; decision feedback equalisers; fading channels; maximum likelihood sequence estimation; multipath channels; radio receivers; MLSE receiver; Viterbi decoder; computational complexity; decision-feedback sequence estimation equalization; maximum likelihood sequence detector; multipath fading channel; particle filtering; signal-to-noise ratio; Computational complexity; Decision feedback equalizers; Detectors; Fading; Filtering; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; State estimation; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2003. ICC '03. IEEE International Conference on
  • Print_ISBN
    0-7803-7802-4
  • Type

    conf

  • DOI
    10.1109/ICC.2003.1204117
  • Filename
    1204117