• DocumentCode
    1129969
  • Title

    On Multiple Symbol Detection for Diagonal DUSTM Over Ricean Channels

  • Author

    Cui, Tao ; Tellambura, Chintha

  • Author_Institution
    California Inst. of Technol., Pasadena
  • Volume
    7
  • Issue
    4
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    1146
  • Lastpage
    1151
  • Abstract
    This letter considers multiple symbol differential detection for multiple-antenna systems over flat Ricean-fading channels when partial channel state information (CSI) is available at the transmitter. Using the maximum likelihood (ML) principle, and assuming perfect knowledge of the channel mean, we derive the optimal multiple symbol detection (MSD) rule for diagonal differential unitary space-time modulation (DUSTM). This rule is used to develop a sphere decoding bound intersection detector (SD-BID) with low complexity. A suboptimal MSD based decision feedback DD (DF-DD) algorithm is also derived. The simulation results show that our proposed MSD algorithms reduce the error floor of conventional differential detection and that the computational complexity of these new algorithms is reasonably low.
  • Keywords
    MIMO communication; Rician channels; decoding; differential detection; maximum likelihood detection; wireless channels; MIMO communication; channel mean; computational complexity; decision feedback algorithm; diagonal DUSTM; diagonal differential unitary space-time modulation; flat Ricean-fading channels; maximum likelihood principle; multiple symbol differential detection; multiple-antenna systems; partial channel state information; sphere decoding bound intersection detector; AWGN; Additive white noise; Computational complexity; Detectors; Fading; Feedback; Maximum likelihood decoding; Maximum likelihood detection; Phase detection; Rayleigh channels;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2008.060872
  • Filename
    4489737