• DocumentCode
    1091746
  • Title

    On fast recursive algorithms for V-BLAST with optimal ordered SIC detection

  • Author

    Shang, Yue ; Xia, Xiang-Gen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE
  • Volume
    8
  • Issue
    6
  • fYear
    2009
  • fDate
    6/1/2009 12:00:00 AM
  • Firstpage
    2860
  • Lastpage
    2865
  • Abstract
    A fast recursive algorithm for the vertical Bell Laboratories layered space-time (V-BLAST) with the optimal ordered successive interference cancellation (SIC) detection has been proposed by Benesty-Huang-Chen and two improved algorithms have been also recently introduced by Szczecinski-Massicotte and Zhu-Lei-Chin independently. In this letter, our first contribution is to incorporate the existing improvements into the original fast recursive algorithm to provide the fastest known algorithm for the optimal ordered SIC detection of V-BLAST. Subsequently, we propose two new algorithms that result from one further improvement for the fast recursive algorithm. Compared with the fastest known algorithm built from the existing improvements, one new proposed algorithm has a speedup of 1.3 times in both the number of multiplications and the number of additions, and the other new proposed algorithm requires less intermediate variables and saves memories.
  • Keywords
    interference suppression; recursive estimation; signal detection; V-BLAST; fast recursive algorithms; optimal ordered SIC detection; successive interference cancellation; vertical Bell Laboratories layered space-time; Covariance matrix; Filters; Interference cancellation; MIMO; Receiving antennas; Scattering; Signal detection; Signal processing algorithms; Signal to noise ratio; Silicon carbide; Fast recursive algorithm, MMSE, successive interference cancellation, V-BLAST, ZF;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2009.081466
  • Filename
    5089965