• DocumentCode
    3415859
  • Title

    A factor graph approach to joint iterative data detection and channel estimation in pilot-assisted IDMA transmissions

  • Author

    Novak, Clemens ; Matz, Gerald ; Hlawatsch, Franz

  • Author_Institution
    Inst. of Commun. & Radio-Freq. Eng., Vienna Univ., Vienna
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    2697
  • Lastpage
    2700
  • Abstract
    We consider a pilot-assisted interleave-division multiple access (IDMA) system transmitting over block-fading channels. We describe this system in terms of a factor graph and use the sum-product algorithm to develop a receiver that performs joint data detection and channel estimation. Suitable approximations to the messages passed by the sum-product algorithm yield an implementation with a complexity that scales linearly with the number of users. Simulation results demonstrate large performance gains compared to classical receivers performing separate channel estimation and data detection.
  • Keywords
    approximation theory; block codes; channel coding; channel estimation; computational complexity; fading channels; graph theory; interleaved codes; iterative methods; multi-access systems; approximation theory; block-fading channel; channel estimation; factor graph approach; joint iterative data detection; pilot-assisted interleave-division multiple access transmission; sum-product algorithm; Binary phase shift keying; Channel coding; Channel estimation; Iterative algorithms; Iterative methods; Niobium; Performance gain; Radio frequency; Sum product algorithm; Transmitters; IDMA; factor graphs; iterative receivers; multiuser detection; sum-product algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518205
  • Filename
    4518205