• DocumentCode
    2557353
  • Title

    Robust adaptive multiuser detection for CDMA frequency-selective fading channels

  • Author

    Zhou, Hongwei ; Xiao, Pei ; Cowan, Colin

  • Author_Institution
    Dept. of Civil Eng., Imperial Coll. London, London, UK
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Robust adaptive multiuser detection schemes are developed for direct-sequence code-division multiple-access (DS-CDMA) multipath frequency-selective fading channels. Multiple access interference (MAI) and intersymbol interference (ISI) are presented in identical format in the expanded signal subspace, which provides convenience for symbol-by-symbol multiuser detection. The proposed multiuse detectors are designed in the expanded signal subspace, and subspace estimation and Kalman filtering algorithms are developed for their adaptive implementation. It is demonstrated by simulation that these adaptive detectors are robust against subspace estimation error and can effectively suppress both MAI and ISI and converge to the optimum SINR.
  • Keywords
    Kalman filters; code division multiple access; fading channels; intersymbol interference; multiuser detection; CDMA frequency-selective fading channels; Kalman filtering algorithms; direct-sequence code-division multiple-access; intersymbol interference; multiple access interference; robust adaptive multiuser detection; symbol-by-symbol multiuser detection; Adaptive signal detection; Algorithm design and analysis; Detectors; Frequency-selective fading channels; Intersymbol interference; Multiaccess communication; Multiple access interference; Multiuser detection; Robustness; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-3942-3
  • Electronic_ISBN
    978-1-4244-3941-6
  • Type

    conf

  • DOI
    10.1109/ICUMT.2009.5345373
  • Filename
    5345373