Adaptive Subspace Multiuser Detection for Multicarrier DS-CDMA

  • S. Attallah
  • A. M. Zoubir
  • K. Abed-Meraim


Recently, we have developed new adaptive algorithms for subspace estimation and tracking. Among them, the so-called Normalised Orthogonal Oja (NOOJA) algorithm exhibits a very good performance as compared to other algorithms in the literature. In this paper, we show how this algorithm can be used for multiuser detection in the context of MC-DS-CDMA.


Multiuser Detection Signal Subspace Noise Subspace IEEE Signal Processing Letter Subspace Estimation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • S. Attallah
    • 1
  • A. M. Zoubir
    • 2
  • K. Abed-Meraim
    • 3
  1. 1.School of Electrical and Computer EngineeringCurtin University of TechnologyPerthWestern Australia
  2. 2.Australian Telecommunications Research Institute (ATRI) and School of Electrical and Computer EngineeringCurtin University of TechnologyPerthWestern Australia
  3. 3.TSI Dept.Telecom ParisParis Cedex 13France

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