• DocumentCode
    2883246
  • Title

    Algebraic Reduction for the Golden Code

  • Author

    Othman, G.R.-B. ; Luzzi, Laura ; Belfiore, Jean-Claude

  • Author_Institution
    TELECOM ParisTech, Paris, France
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we introduce a new right preprocessing method for the decoding of 2 times 2 algebraic space-time codes, called algebraic reduction, which exploits the multiplicative structure of the code. The principle of the new reduction is to absorb part of the channel into the code, by approximating the channel matrix with an element of the maximal order of the code algebra. We prove that algebraic reduction attains the receive diversity when followed by a simple zero-forcing (ZF) detection. Simulation results for the golden code show that using minimum mean squared error generalized decision feedback equalization (MMSE-GDFE left preprocessing), algebraic reduction with simple ZF detection has a loss of only 3 dB with respect to optimal decoding.
  • Keywords
    algebraic codes; channel coding; decision feedback equalisers; decoding; diversity reception; least mean squares methods; matrix algebra; signal detection; space-time codes; wireless channels; MMSE-GDFE left preprocessing; algebraic reduction; algebraic space-time code; channel matrix; code algebra; decoding; golden code; minimum mean squared error generalized decision feedback equalization; multiplicative structure; receive diversity; right preprocessing method; zero-forcing detection; Algebra; Communications Society; Decision feedback equalizers; Fading; Lattices; MIMO; Maximum likelihood decoding; Quaternions; Space time codes; Telecommunications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5198713
  • Filename
    5198713