• DocumentCode
    1830542
  • Title

    Convergence analysis of turbo equalization in ST block-coded MIMO systems

  • Author

    Wavegedara, K.C.B. ; Bhargava, Vijay K.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
  • fYear
    2009
  • fDate
    28-31 Dec. 2009
  • Firstpage
    104
  • Lastpage
    111
  • Abstract
    We investigate the probabilistic convergence behavior of minimum mean square error (MMSE) turbo equalization in space-time (ST) block-coded multiple-input multiple-output (MIMO) systems with finite block lengths. For this purpose, the extrinsic information transfer characteristics (EXIT)-band chart technique, which was originally proposed for analyzing turbo decoding of parallel concatenated codes is applied. The impact on the convergence behavior and performance due to the use of ST block coding is analyzed through the EXIT-band characteristics. The convergence behaviors of the exact and approximate implementations of MMSE equalization are compared. We show that in the hybrid equalization schemes, the EXIT-band chart analysis can be used to determine the number of iterations that should be performed using the exact implementation. Our results clearly demonstrate the usefulness of the EXIT-band chart technique as a simple tool to analyze the convergence behavior of turbo equalization in systems with finite block lengths.
  • Keywords
    MIMO communication; concatenated codes; convergence; decoding; equalisers; least mean squares methods; space-time codes; turbo codes; EXIT band chart technique; ST block-coded MIMO systems; convergence analysis; extrinsic information transfer characteristic band chart technique; finite block lengths; hybrid equalization schemes; minimum mean square error turbo equalization; parallel concatenated codes; probabilistic convergence behavior; space-time block-coded multiple-input multiple-output systems; turbo decoding analysis; AWGN channels; Concatenated codes; Convergence; Equalizers; Gaussian distribution; Information analysis; Iterative decoding; MIMO; Multiuser detection; Mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (ICIIS), 2009 International Conference on
  • Conference_Location
    Sri Lanka
  • Print_ISBN
    978-1-4244-4836-4
  • Electronic_ISBN
    978-1-4244-4837-1
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2009.5429881
  • Filename
    5429881