• DocumentCode
    1186737
  • Title

    An iterative extension of BLAST decoding algorithm for layered space-time signals

  • Author

    Liu, Ke ; Sayeed, Akbar M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    53
  • Issue
    10
  • fYear
    2005
  • Firstpage
    1754
  • Lastpage
    1761
  • Abstract
    We propose an iterative extension of the Bell Laboratory Layered Space-Time (BLAST) algorithm and its variant, vertical BLAST (VBLAST). A characteristic feature of the BLAST-type algorithm is that symbol decisions with low reliability are fed back to decode other symbols. Both performance analysis based on Gaussian approximation of residual interference, and simulation results demonstrate that error propagation due to unreliable decision feedback can severely limit system performance. The extended algorithm exploits inherent signal diversity in BLAST to mitigate residual interference, thus overcoming the performance bottleneck due to error propagation. It yields an impressive performance gain over BLAST. In particular, the extension of BLAST with zero-forcing interference ing admits a simple QR implementation and exhibits excellent performance with low complexity.
  • Keywords
    Gaussian processes; approximation theory; interference (signal); iterative decoding; space-time codes; BLAST decoding algorithm; Bell Laboratory Layered Space-Time algorithm; Gaussian approximation; decision feedback; error propagation; iterative extension; layered space-time signals; residual interference; signal diversity; zero-forcing interference ing; Channel capacity; Feedback; Interference; Iterative algorithms; Iterative decoding; MIMO; Nonlinear filters; Receiving antennas; Signal processing algorithms; Transmitting antennas; Bell Laboratory Layered Space–Time (BLAST) algorithm; layered space–time processing; multiantenna systems; vertical BLAST (VBLAST);
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2005.857154
  • Filename
    1516293