• DocumentCode
    3375883
  • Title

    A Simplified Sphere Decoding Algorithm for MIMO Transmission System

  • Author

    Noordin, N.K. ; Ali, B.M. ; Jamuar, S.S. ; Ismail, M.

  • Author_Institution
    Fac. of Eng., Univ. Putra Malaysia, Serdang
  • fYear
    2005
  • fDate
    21-24 Nov. 2005
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In sphere decoding the choice of sphere radius is crucial to excellent performance. In Chan-Lee sphere decoding - based algorithm, the problem of choosing initial radius has been solved by making the radius sufficiently large, thus increasing the size of the search region. In this paper we present maximum likelihood decoding using simplified sphere decoder as apposed to the original sphere decoder for the detection of cubic structure quadrature amplitude modulation symbols. This simple algorithm based on Chan-Lee sphere decoder allows the search for closest lattice point in a reduced complexity manner compared to original sphere decoder for multiple input multiple output system with perfect channel state information at the receiver. Results show symbol error rate has stabilized even at very low initial value of the square radius.
  • Keywords
    MIMO communication; maximum likelihood decoding; quadrature amplitude modulation; radio receivers; Chan-Lee sphere decoding; MIMO transmission system; channel state information; cubic structure; maximum likelihood decoding; multiple input multiple output system; quadrature amplitude modulation symbols; radio receiver; simplified sphere decoding; symbol error rate; Channel state information; Lattices; MIMO; Maximum likelihood decoding; OFDM; Quadrature amplitude modulation; Receiving antennas; Sorting; Streaming media; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2005 2005 IEEE Region 10
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    0-7803-9311-2
  • Electronic_ISBN
    0-7803-9312-0
  • Type

    conf

  • DOI
    10.1109/TENCON.2005.300851
  • Filename
    4084865