Matched Filter as Pre-processing Tool for Multi-user Detection in DS-CDMA System

  • O. Chakkor
  • C. G. Puntonet
  • B. Pino
  • J. M. Gorriz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3512)

Abstract

Due to the demand for cellular wireless services, recent interests are in techniques, which can improve the capacity of CDMA systems. On such technique is multi-user detection. Multi-user Detection (MUD) is the intelligent estimation/demodulation of transmitted bits in the presence of Multiple Access Interference (MAI). In this paper, we will show the role of matched filter used as pre-processing tool for MUD in DS-CDMA system.

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References

  1. 1.
    chakkor, O.: A new algorithm for symbol separation in a DS-CDMA system downlink, Phd-thesis (2004)Google Scholar
  2. 2.
    Lupas, R., Verdu, S.: Linear multi-user detectors for synchronous code-division multiple-access channels. IEEE Trans. Inform. Theory 35, 123–136 (1989)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Xie, Z., Short, R.T., Rushforth, C.K.: A family of suboptimum detectors for coherent multiuser communications. IEEE J. Selected Areas Commun., 683-690 (May 1990)Google Scholar
  4. 4.
    Verdu, S.: Multiuser detection. In: Advances in Detection and Estimation. JAI Press (1993)Google Scholar
  5. 5.
    Madhow, U., Honig, M.: MMSE interference suppression for direct sequence spreadspectrum CDMA. IEEE Trans. Commun. 42, 3178–3188 (1994)CrossRefGoogle Scholar
  6. 6.
    Verdu, S.: Minimum probability of error for asynchronous gaussian multiple-access channels. IEEE Trans. Inform. Theory IT-32, 85–96 (1986)CrossRefMathSciNetGoogle Scholar
  7. 7.
    Puntonet, C.G., Mansour, A., Jutten, C.: Geometrical Algorithm for Blind Separation of Sources. In: Proc. of 15me. Colloque sur le Traitement du Signal et des Images (GRETSI 1995), Juan les Pins, September 18-22, vol. 1, pp. 273–276 (1995)Google Scholar
  8. 8.
    Hyvarinen, A., Oja, E.: A fast Fixed-Point Algorithm for Independent Component Analysis. Neural Computation 9, 1483–1492 (1997)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • O. Chakkor
    • 1
  • C. G. Puntonet
    • 1
  • B. Pino
    • 1
  • J. M. Gorriz
    • 2
  1. 1.Dept. of Architecture and Computer TechnologySpain
  2. 2.Dept. Signal Theory and CommunicationsUniversity of GranadaSpain

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