• DocumentCode
    2492935
  • Title

    A low complexity lattice reduction aided detection based on Gram-Schmidt

  • Author

    Kinoshita, Caio Masakazu ; Hou, Wei ; Sasaki, Yusuke ; Fujino, Tadashi

  • Author_Institution
    Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2010
  • fDate
    15-18 Dec. 2010
  • Firstpage
    303
  • Lastpage
    308
  • Abstract
    In this paper, we proposes a low-complexity lattice-reduction aided detection (LRAD) based on the Gram-Schmidt (GS) procedure in multi-input multi-output (MIMO) communications. The conventional LRAD achieves good bit error ratios (BERs) because it reduces the column vectors of the channel matrix close to orthogonal using LLL Algorithm. The proposed detection method reduces the column vectors of the channel matrix mutually purely orthogonal using the LLL algorithm and then the GS procedure, and achieve more reliable estimation of the transmitted signals than the conventional LLL algorithm. The BER curves for the proposed detection is steeper than the conventional LRAD with low complexity.
  • Keywords
    MIMO communication; communication complexity; error statistics; matrix algebra; signal detection; wireless channels; BER curve; Gram-Schmidt procedure; LLL Algorithm; LRAD; MIMO communication; bit error ratio; channel matrix; low-complexity lattice-reduction aided detection; multiple-input multiple-output communication; Bit error rate; Complexity theory; Estimation; MIMO; Phase shift keying; Quantization; Transforms; Gram-Schmidt procedure; LLL algorithm; MIMO; MMSE; lattice-reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2010 IEEE International Symposium on
  • Conference_Location
    Luxor
  • Print_ISBN
    978-1-4244-9992-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2010.5711799
  • Filename
    5711799