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Adaptive Subspace Multiuser Detection for Multicarrier DS-CDMA

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Multi-Carrier Spread-Spectrum & Related Topics

Abstract

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.

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References

  1. X. Wang and H. V. Poor, “Blind Multiuser Detection: A Subspace Approach,” IEEE Trans. On Inf. Theory, vol. 44, no. 2, pp. 677–689, March 1998.

    Article  MathSciNet  MATH  Google Scholar 

  2. J. Namgoong, T. F. Wong and J. S. Lehnert, “Subspace Multiuser Detection for Multicarrier DS-CDMA,” IEEE Trans. On Communications, vol. 48, no. 11, pp. 1897–1908, November 2000.

    Article  Google Scholar 

  3. T. P. Krasulina, “Method of Stochastic Approximation in the Determination of the Largest Eigenvalue of the Mathematical Expectation of Random Matrices,” Automat. Remote Contr., vol 2, pp. 215–221, 1970.

    MathSciNet  Google Scholar 

  4. S. C. Douglas, S.-Y. Kung, and S.-I. Amari, “A Self-Stabilized Minor Subspace Rule,” Sig. Process. Letters, vol. 5, no. 12, pp. 328–330, Dec. 1998.

    Article  Google Scholar 

  5. B. Yang, “Projection Approximation Subspace Tracking,” IEEE Signal Processing, vol. 43, no. 1, pp. 95–107, Jan. 1995.

    Article  MATH  Google Scholar 

  6. E. Oja, “Principal Components, Minor Components, and Linear Neural Networks,” Neural Networks, vol. 5, pp. 927–935, Nov./Dec. 1992.

    Google Scholar 

  7. T. Chen, S.-I. Amari, and Q. Lin, “A Unified Algorithm for Principal and Minor Components Extraction,” Neural Networks, vol. 11, pp. 385–390, 1998.

    Article  Google Scholar 

  8. K. Abed-Meraim, S. Attallah, A. Chkeif and Y. Hua, “Orthogonal Oja Algorithm,” IEEE Signal Processing Letters, pp. 116–119, vol. 7, May 2000.

    Article  Google Scholar 

  9. S. Attallah and K. Abed-Meraim, “Fast Algorithms for Subspace Tracking,” IEEE Signal Processing Letters, pp. 203–206, vol. 8, July 2001.

    Article  Google Scholar 

  10. S. Haykin, Adaptive filters. Englewood Cliffs, Prentice-Hall, NJ, 1995.

    Google Scholar 

  11. S. Attallah, “Revisiting Adaptive Signal Subspace Estimation Based on Rayleigh’s Quotient,” in the Proc. of IEEE Intern. Conf. on Acoustics, Speech and Signal Processing (ICASSP-01).

    Google Scholar 

  12. F. Hongyi and S. Attallah, “Blind Channel and Carrier Offset Estimation in Multiuser CDMA,” submitted to IEEE ICC’2002,Atlanta, USA.

    Google Scholar 

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Attallah, S., Zoubir, A.M., Abed-Meraim, K. (2002). Adaptive Subspace Multiuser Detection for Multicarrier DS-CDMA. In: Fazel, K., Kaiser, S. (eds) Multi-Carrier Spread-Spectrum & Related Topics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3569-7_22

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  • DOI: https://doi.org/10.1007/978-1-4757-3569-7_22

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4945-5

  • Online ISBN: 978-1-4757-3569-7

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