• DocumentCode
    2482496
  • Title

    EM-based multiuser detections for optical CDMA networks

  • Author

    Motahary, Abolfazl S. ; Nasiri-Kenari, Masoumeh

  • Author_Institution
    Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    731
  • Abstract
    We introduce several EM-based multiuser detectors for an optical CDMA system. The detectors have soft and hard stages. In the soft stage, a soft estimation of the interference is obtained by solving an unconstrained maximum-likelihood (ML) problem via an iterative expectation-maximization (EM) algorithm. Then, the hard stage detects the user information bit by solving a one-dimensional Boolean constrained problem conditioned on knowing the interference. Our results reveal that the proposed detectors have very low complexity and are robust against changes in parameters. Moreover. the numerical results illustrate that, despite their simplicity, our detectors substantially outperform other well-known suboptimum detectors, such as multistage and decorrelating detectors.
  • Keywords
    code division multiple access; computational complexity; electromagnetic interference; iterative methods; maximum likelihood estimation; multiuser detection; optical fibre networks; optimisation; Boolean constrained problem; EM-based multiuser detection; decorrelating detectors; iterative expectation-maximization algorithm; multistage detectors; optical CDMA networks; soft estimation; unconstrained maximum-likelihood problem; Decorrelation; Interference constraints; Iterative algorithms; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Multiuser detection; Optical detectors; Optical fiber networks; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 2002 IEEE Seventh International Symposium on
  • Print_ISBN
    0-7803-7627-7
  • Type

    conf

  • DOI
    10.1109/ISSSTA.2002.1049356
  • Filename
    1049356