• DocumentCode
    2526345
  • Title

    MIMO detection employing Markov Chain Monte Carlo

  • Author

    Sundaram, V. ; Murthy, K.P.N.

  • Author_Institution
    Dept. Electr. Eng., Univ. of Notre Dame, Notre Dame, IN
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We propose a soft-output detection scheme for multiple-input-multiple-output (MIMO) systems. The detector employs Markov chain Monte Carlo method to compute bit reliabilities from the signals received and is thus suited for coded MIMO systems. It offers a good trade-off between achievable performance and algorithmic complexity.
  • Keywords
    MIMO communication; Markov processes; Monte Carlo methods; antenna arrays; channel capacity; channel coding; computational complexity; random processes; signal detection; MIMO detection; Markov chain Monte Carlo method; channel capacity; coded MIMO system; computational complexity; multiple antenna; multiple-input-multiple-output system; random walk Metropolis algorithm; signal receiver; soft-output detection scheme; Channel capacity; Detectors; MIMO; Monte Carlo methods; Multidimensional systems; Physics; Probability distribution; Receiving antennas; Transmitting antennas; Wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2008 - 2008 IEEE Region 10 Conference
  • Conference_Location
    Hyderabad
  • Print_ISBN
    978-1-4244-2408-5
  • Electronic_ISBN
    978-1-4244-2409-2
  • Type

    conf

  • DOI
    10.1109/TENCON.2008.4766505
  • Filename
    4766505
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2526345