• DocumentCode
    3310618
  • Title

    An iterative multi-user detector for coded mutually orthogonal complementary sets with space-time coding

  • Author

    Özgur, Soner ; Williams, Douglas B.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2004
  • fDate
    1-4 Aug. 2004
  • Firstpage
    211
  • Lastpage
    215
  • Abstract
    We propose an iterative multi-user detector scheme that exploits the properties of mutually orthogonal (MO) complementary sets and space-time codes for multi-user communications with spatial diversity and minimal bandwidth expansion. The properties of the MO sequences are used to distinguish between the desired user and the interferers, all of which are using multiple transmit antennas. We achieve a high order of diversity in flat Rayleigh fading channels and the ability to cancel multi-user interference. The performance of the system in the presence of multiple users is shown, both analytically and by simulation, to be comparable to the single user case.
  • Keywords
    Rayleigh channels; channel coding; convolutional codes; diversity reception; interference suppression; iterative methods; least mean squares methods; multiuser detection; space-time codes; MMSE detector; MO sequences; channel decoder; coded mutually orthogonal complementary sets; convolutionally coded system; flat Rayleigh fading channels; iterative multiuser detector; multiple transmit antennas; multiuser interference cancellation; space-time coding; spatial diversity; Bandwidth; Block codes; Detectors; Fading; Interference cancellation; Maximum likelihood decoding; Multiaccess communication; Multiuser detection; Signal processing algorithms; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
  • Print_ISBN
    0-7803-8434-2
  • Type

    conf

  • DOI
    10.1109/DSPWS.2004.1437944
  • Filename
    1437944