• DocumentCode
    2832871
  • Title

    Combined semi-definite relaxation and sphere decoding method for multiple antennas systems

  • Author

    Shao, Z.Y. ; Cheung, S.W. ; Yuk, T.I.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2011
  • fDate
    24-25 Feb. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a new detection method which combines the semi-definite programming relaxation (SDR) with the sphere decoding (SD) is proposed for 256-QAM multiple-input multiple-output (MIMO) system. In this method, the SDR algorithms are engaged to obtain a primary result. Then, a hyper-sphere is constructed which is centered at the received signal and has its radius equals to the Euclidean distance between the primary result and the received signal. Finally, the SD searching strategy is employed to determine the final result which satisfies the principle of maximum likelihood. Simulation results show that the proposed method can offer optimum BLER performance as well as lower computational complexity than the conventional SD detectors.
  • Keywords
    MIMO systems; antenna arrays; computational complexity; decoding; error statistics; mathematical programming; maximum likelihood estimation; quadrature amplitude modulation; relaxation theory; search problems; signal detection; BLER performance; Euclidean distance; MIMO system; QAM; SD searching strategy; SDR algorithms; combined semidefinite relaxation; computational complexity; conventional SD detectors; detection method; hyper-sphere; maximum likelihood; multiple antennas systems; multiple-input multiple-output system; received signal; semidefinite programming relaxation; sphere decoding method; Decoding; Detectors; MIMO; MIMO System; Semi-definite Relaxation; Sphere decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Antennas (WSA), 2011 International ITG Workshop on
  • Conference_Location
    Aachen
  • Print_ISBN
    978-1-61284-075-8
  • Electronic_ISBN
    978-1-61284-073-4
  • Type

    conf

  • DOI
    10.1109/WSA.2011.5741919
  • Filename
    5741919