• DocumentCode
    3356244
  • Title

    Joint data-channel estimation using the particle filtering on multipath fading channels

  • Author

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

  • Author_Institution
    Signals & Syst. Lab., CNAM, Paris, France
  • Volume
    2
  • fYear
    2003
  • fDate
    23 Feb.-1 March 2003
  • Firstpage
    1284
  • Abstract
    Instead of the per-survivor processing (PSP) detector which is the state-of-the-art solution for the joint data channel estimation in fast fading channels, a new reduced complexity maximum likelihood sequence detector (MLSD) based on the particle filtering technique is proposed. It is shown that the particle detector offers a better trade-off between performance and computational complexity, compared to a reduced complexity PSP detector based on the decision-feedback sequence estimation (DFSE) algorithm. Moreover, the computational complexity of this new detector is adapted according to the signal-to-noise ratio.
  • Keywords
    Kalman filters; channel estimation; computational complexity; fading channels; maximum likelihood detection; maximum likelihood sequence estimation; mobile communication; multipath channels; DFSE; MLSD; PSP detector; computational complexity; decision feedback sequence estimation; joint data channel estimation; maximum likelihood sequence detector; multipath fading channels; particle detector; particle filtering technique; per-survivor processing; performance complexity; reduced complexity; signal-to-noise ratio; Channel estimation; Computational complexity; Detectors; Fading; Filtering; Least squares approximation; Maximum likelihood detection; Maximum likelihood estimation; State estimation; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications, 2003. ICT 2003. 10th International Conference on
  • Print_ISBN
    0-7803-7661-7
  • Type

    conf

  • DOI
    10.1109/ICTEL.2003.1191620
  • Filename
    1191620