• DocumentCode
    1803543
  • Title

    Power Constrained Gradient Decent Detection for V-BLAST system

  • Author

    Lu, Xiaofeng ; Zhang, Li ; Liu, Shuhua ; Cao, Jinjin

  • Author_Institution
    State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´´an, China
  • Volume
    3
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    1997
  • Lastpage
    2000
  • Abstract
    For Vertical Bell Laboratories Layered Space-Time(V-BLAST) system, we propose a linear multiple-input multiple-output(MIMO) detection algorithm which uses the transmit power constraints to reduce the search range in a linear space and uses the continuous gradient search method to get the optimal solution. The simulation results show that Power Constrained Gradient Decent Detection (PCGDD) detection performance is significantly better than linear detection algorithms zero forcing(ZF) and close to the minimum mean squares estimation(MMSE) detection performance. Furthermore, compared to the MMSE detection, power constrained gradient decent detection (PCGDD) omits the noise detection part and works effectively in high noise environments. So it has a lower computational complexity and a better robustness.
  • Keywords
    MIMO communication; least mean squares methods; MIMO detection algorithm; MMSE; PCGDD; V-BLAST system; ZF; linear detection algorithms zero forcing; linear multiple-input multiple-output detection algoritm; minimum mean squares estimation detection; power constrained gradient decent detection; vertical bell laboratories layered space-time system; Algorithm design and analysis; Detection algorithms; Equations; Estimation; MIMO; Mathematical model; Noise; MIMO; V-BLAST; gradient detection; power constrained;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182363
  • Filename
    6182363