• DocumentCode
    1714015
  • Title

    Pre-sorted multiple-branch successive interference cancelation detection for high-dimensional MIMO systems

  • Author

    Zu, Keke ; De Lamare, Rodrigo C.

  • Author_Institution
    Dept. of Electron., Commun. Res. Group, Univ. of York, York, UK
  • fYear
    2012
  • Firstpage
    157
  • Lastpage
    161
  • Abstract
    In multiple-input multiple-output (MIMO) systems, the maximum likelihood detection (MLD) can obtain the maximum receive diversity order while its computational complexity grows exponentially with the number of constellation points and the transmitted streams. Lattice reduction (LR)-aided detection can parallel the diversity order of MLD with low complexity; however, its performance gap to MLD becomes wider with the increase of the system dimension that is expected with very large MIMO systems. In this paper, pre-sorted multiple-branch successive interference cancelation (PS-MB-SIC) detection techniques are proposed. Simulation results show that the proposed algorithm can approach the diversity order of MLD with much lower complexity and is suited to high-dimensional MIMO systems.
  • Keywords
    MIMO communication; communication complexity; diversity reception; maximum likelihood detection; radiofrequency interference; computational complexity; diversity order; high-dimensional MIMO system; lattice reduction-aided detection; maximum likelihood detection; multiple-input multiple-output system; presorted multiple-branch successive interference cancelation detection; Bit error rate; Computational complexity; MIMO; Matrix decomposition; Signal processing algorithms; Silicon carbide; High-dimensional MIMO; low-complexity; multiple-branch detection; pre-sorted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Antennas (WSA), 2012 International ITG Workshop on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4577-1923-3
  • Electronic_ISBN
    978-1-4577-1924-0
  • Type

    conf

  • DOI
    10.1109/WSA.2012.6181199
  • Filename
    6181199