• DocumentCode
    2975302
  • Title

    Bayesian based linear and non-linear detectors for CDMA communications

  • Author

    Ge, Hongya ; Wang, Kun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    135
  • Lastpage
    139
  • Abstract
    This work provides various simplified Bayesian-based multiuser detectors, including both linear and non-linear detectors, for CDMA communications systems. Due to the non-Gaussian nature of the problem, the Bayesian solutions are generally non-linear. Under the linear constraint, the Bayesian solution leads to the linear MMSE (LMMSE) estimator based multiuser detectors. Within the non-linear class, we present a simplified Bayesian solution, which leads to either multi-stage interference cancellation based or iterative optimization based multiuser detectors
  • Keywords
    Bayes methods; code division multiple access; interference suppression; iterative methods; least mean squares methods; optimisation; signal detection; Bayesian based linear detectors; Bayesian based non-linear detectors; Bayesian-based multiuser detectors; CDMA communications; iterative optimization; linear MMSE estimator; linear constraint; multi-stage interference cancellation; Bayesian methods; Detectors; Multiaccess communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Caesarea
  • Print_ISBN
    0-7695-0140-0
  • Type

    conf

  • DOI
    10.1109/HOST.1999.778710
  • Filename
    778710