• DocumentCode
    2381837
  • Title

    Efficient Sequence Detection of Multi-Carrier Transmissions Over Doubly Dispersive Channels

  • Author

    Hwang, Sung-Jun ; Schniter, Philip

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
  • fYear
    2006
  • fDate
    2-5 July 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Multicarrier modulation (MCM) over a doubly dispersive (DD) channel yields complicated inter-carrier interference (ICI) and intersymbol interference (ISI) responses. With appropriately designed MCM pulse shapes, however, ISI can be mostly suppressed, as can ICI outside a small subcarrier radius. In this case, the channel can be well described by a quasi-banded subcarrier coupling matrix. Several sequence detectors (SDs) have been proposed to leverage this quasi-banded structure, including linear, decision feedback (DF), and maximum likelihood (ML) schemes. Relative to linear and DF schemes, the ML schemes offer superior performance, but are significantly more complex, even when efficient Viterbi or sphere-detection algorithms are used. In this paper, we propose a new SD algorithm for the quasi-banded application with a frame error rate (FER) that is nearly indistinguishable from ML and an average complexity that is on par with DF SD
  • Keywords
    dispersive channels; intercarrier interference; interference suppression; intersymbol interference; matrix algebra; maximum likelihood detection; modulation; FER; Viterbi algorithm; decision feedback algorithm; doubly dispersive channels; frame error rate; inter-carrier interference; intersymbol interference; linear algorithm; maximum likelihood algorithm; multi-carrier transmissions; multicarrier modulation; quasi-banded subcarrier coupling matrix; sequence detection; sequence detectors; sphere-detection algorithm; Algorithm design and analysis; Dispersion; Error analysis; Feedback; Intersymbol interference; Iterative algorithms; Maximum likelihood decoding; Maximum likelihood detection; Pulse shaping methods; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2006. SPAWC '06. IEEE 7th Workshop on
  • Conference_Location
    Cannes
  • Print_ISBN
    0-7803-9710-X
  • Electronic_ISBN
    0-7803-9711-8
  • Type

    conf

  • DOI
    10.1109/SPAWC.2006.346408
  • Filename
    4153925