• DocumentCode
    1840917
  • Title

    Low-complexity generalized layered space-time MIMO detection

  • Author

    Nagao, Yuhei ; Kurosaki, Masayuki ; Ochi, Hiroshi

  • Author_Institution
    Dept. of Comput. Sci. & Electron. Eng., Kyushu Inst. of Technol., Fukuoka
  • Volume
    3
  • fYear
    2006
  • fDate
    20-22 Feb. 2006
  • Lastpage
    1943
  • Abstract
    Group layered space-time codes can attain a better tradeoff between data rate and diversity gain. In this paper, we propose two generalized detection algorithms for GLST. Firstly, we present a non-ordering linear detection with an extended Gaussian elimination algorithm. Then an ordered successive detection algorithm is derived. These algorithms can reduce computational complexity, as low as O(Nt2Nr) per symbol interval, by using the characteristics of the channel matrix. Nt and Nr are the number of transmitter and receiver antennas, respectively. Simulation results show that the proposed detectors can achieve low-complexity and better performance over linear MMSE ones
  • Keywords
    Gaussian processes; MIMO systems; antenna arrays; computational complexity; matrix algebra; signal detection; space-time codes; wireless channels; channel matrix; extended Gaussian elimination algorithm; generalized detection algorithms; group layered space-time codes; nonordering linear detection; receiver antennas; space-time MIMO detection; transmitter antennas; Computational complexity; Computational modeling; Detection algorithms; Detectors; Diversity methods; MIMO; Receiving antennas; Space time codes; Transmitters; Transmitting antennas; Gaussian elimination; MIMO; diversity; group layered space-time; layered space-time; ordered successive detection; space-time codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2006. ICACT 2006. The 8th International Conference
  • Conference_Location
    Phoenix Park
  • Print_ISBN
    89-5519-129-4
  • Type

    conf

  • DOI
    10.1109/ICACT.2006.206374
  • Filename
    1625979