• DocumentCode
    1347594
  • Title

    Lattice Reduction Aided MMSE Decision Feedback Equalizers

  • Author

    Park, Jaehyun ; Chun, Joohwan ; Luk, Franklin T.

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    59
  • Issue
    1
  • fYear
    2011
  • Firstpage
    436
  • Lastpage
    441
  • Abstract
    The LLL algorithm developed by Lenstra, Lenstra, and Lovász has been widely studied to improve the conditioning of linear systems of equations that arise in multi-input multi-output (MIMO) antenna systems. In the first part of this correspondence, we show how a certain class of matrices can be transformed so that the LLL algorithm can be carried out efficiently, without compromising its performance. Then, the proposed transformation is applied to the matrix with block lower triangular Toeplitz matrices that arises in the decision feedback equalizer (DFE) to improve the bit error rate (BER) performance with a slight computational overhead.
  • Keywords
    MIMO systems; Toeplitz matrices; antennas; decision feedback equalisers; error statistics; least mean squares methods; linear systems; BER performance; DFE; LLL algorithm; MIMO antenna systems; bit error rate; block lower triangular Toeplitz matrices; computational overhead; lattice reduction aided MMSE decision feedback equalizers; linear systems of equations; multiinput multioutput antenna systems; Bit error rate; Complexity theory; Decision feedback equalizers; Equations; Lattices; Matrix decomposition; Signal to noise ratio; Decision feedback equalizer; Toeplitz matrices; lattice reduction;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2010.2086447
  • Filename
    5599315