• DocumentCode
    2057788
  • Title

    Trace-orthonormal full diversity cyclotomic linear dispersion codes

  • Author

    Zhang, J.-K. ; Liu, J. ; Wong, K.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.
  • fYear
    2004
  • fDate
    June 27 2004-July 2 2004
  • Firstpage
    341
  • Lastpage
    341
  • Abstract
    In this paper we propose a trace-orthonormal linear dispersion code that is an extension of the generalized complex orthogonal space-time block codes and present a method to systematically design such code family. We prove that our proposed codes can minimize the average bit error probability for the QPSK modulation when the minimum mean square error (MMSE) detector is employed. Furthermore, we establish a unified framework to systematically and efficiently construct trace-orthonormal full diversity cyclotomic linear dispersion codes with any integer symbol transmission rate which is less than or equals to the number of transmitter antennas. This result generalizes the currently available linear space-time block code designs into a full diversity linear dispersion code design
  • Keywords
    block codes; diversity reception; error statistics; least mean squares methods; linear codes; quadrature phase shift keying; space-time codes; transmitting antennas; MMSE detector; QPSK modulation; bit error probability; complex orthogonal space-time block codes; cyclotomic linear dispersion codes; integer symbol transmission rate; minimum mean square error; trace-orthonormal full diversity; transmitter antennas; Block codes; Design methodology; Detectors; Error probability; Mean square error methods; Modulation coding; Quadrature phase shift keying; Receiving antennas; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365378
  • Filename
    1365378