• DocumentCode
    3254716
  • Title

    A Simple Iterative Gaussian Detector for Severely Delay-Spread MIMO Channels

  • Author

    Tianbin Wo ; Hoeher, P.A.

  • Author_Institution
    Univ. of Kiel, Kiel
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    4598
  • Lastpage
    4603
  • Abstract
    In this paper, a low-complexity high-performance detection algorithm for multiple input multiple output (MIMO) channels with severe delay spread is proposed. This algorithm performs iterative data detection over factor graphs which apply an independence approximation as well as a Gaussian approximation. It is shown that this algorithm achieves a near-optimum BER performance for coded MIMO systems with severe delay spread. The computational complexity of this algorithm is strictly linear in the number of transmit antennas, the number of receive antennas, and the number of non-zero channel coefficients.
  • Keywords
    Gaussian channels; MIMO communication; approximation theory; channel coding; communication complexity; error statistics; graph theory; iterative methods; maximum likelihood detection; Gaussian approximation; MAP detector; computational complexity; delay-spread coded MIMO channel; factor graph; independence approximation; iterative Gaussian detector; multiple input multiple output channel; near-optimum BER performance; nonzero channel coefficient; receive antenna; transmit antenna; Approximation algorithms; Bit error rate; Computational complexity; Delay systems; Detection algorithms; Detectors; Gaussian approximation; Iterative algorithms; MIMO; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2007. ICC '07. IEEE International Conference on
  • Conference_Location
    Glasgow
  • Print_ISBN
    1-4244-0353-7
  • Type

    conf

  • DOI
    10.1109/ICC.2007.759
  • Filename
    4289430