Skip to main content
SpringerLink
Log in

Performance study of receiver based on independent component analysis in CDMA systems

  • Published:
Automatic Control and Computer Sciences Aims and scope Submit manuscript

Abstract

To improve the performances of the wireless mobile communication system, a statistical method is illustrated in this paper. It consists in separating the signals at the reception of communication systems based on code division multiple access technology. The idea is to optimize the separation of the various users sharing the same frequency and temporal resources using the emergent statistical method of independent component analysis (ICA). ICA makes it possible to extract emitted signals that are as statistically independent as possible. The bit error rate and the signal to noise ratio are used as criteria for evaluating the performances of the ICA receiver. Adding white Gaussian noise to the input signal channel and the Rayleigh channel (fading channel) cases has been considered. A comparative study with conventional receivers such as the RAKE, the matched filter (MF), and the minimum mean-squared error is carried out. The obtained results show the superiority of an ICA receiver compared to an MF receiver.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Lee, T.W., Girolami, M., and Sejnowski, T.J., Independent Component Analysis Using an Extended Info-max Algorithm for Mixed Sub-Gaussian and Super Gaussian Sources, Neural Computation, 1999, vol. 2, pp. 417–441.

    Article  Google Scholar 

  2. Moshavi, S., Multi-user Detection for DS-CDMA Communications, IEEE Communications Magazine, 1996, vol. 34, no. 10, pp. 124–136.

    Article  Google Scholar 

  3. Cristescu, R., Ristaniemi, T., Joutsensalo, J., and Karhunen, J., Blind Separation of Convolved Mixtures for CDMA Systems, in Proc. Eur. Signal Processing Conf. (EUSIPCO’OO), Tampere, Finland, 2000, pp. 619–622.

  4. Waheed, K., Desai, K., and Salem, F.M., Blind Multi-user Detection in DS-CDMA Systems Using Natural Gradient Based Symbol Recovery Structures, in Proc. 4th Int. Conf. Independent Component Analysis and Blind Signal Separation, Japan, 2003, pp. 727–732.

  5. Dahmane, A.O., A New MMSE based Cascade Filter MUD Tracking Mode in Time-Varying Channels, IEEE WiMob Conference, Montreal, Canada, 2005, pp. 314–318.

  6. Ristaniemi, T. and Joutsensalo, J., Advanced ICA-based Receivers for DS-CDMA Systems, in Proc. IEEE PIMRC, London, 2000, pp. 520–524.

  7. Raju, K. and Ristaniemi, T., ICA-RAKE Switching for Jammer Cancellation in DS-CDMA Array Systems, in Proc. IEEE Int. Symp. on Spread Spectrum Techniques and Applications (ISSSTA’02), Prague, Czech Republic, 2002, pp. 638–642.

  8. Lupas, R. and Verdu, S., Linear Multi-user Detector for Synchronous Code Division Multiple Access Channels, IEEE Transactions on Information Theory, 35, 1989, pp. 3812–3816.

    Article  MathSciNet  Google Scholar 

  9. Ristaniemi, T., Raju, K., Karhunen, J., and Oja, E., Jammer Cancellation in DS-CDMA Arrays: Pre and Post Switching of ICA and RAKE, in Proc. of the 2002 IEEE Workshop on Neural Networks for Signal Processing, Martigny, Switzerland, 2002, pp. 495–504.

  10. Durán, J. and Cruces, S., An Application of ICA to Blind DS-CDMA Detection: A Joint Optimization Criterion, 7th International Work-Conference on Artificial and Natural Neural Networks (IWANN’2003), Spain, 2003, vol. 2, pp. 305–312.

    Google Scholar 

  11. Tugnait, J.K. and Li, T., Blind Detection of Asynchronous CDMA Signals in Multipath Channels Using Code-Constrained Inverse Filter Criterion, IEEE Trans. Signal Processing, 2001, vol. 49, no. 7, pp. 1300–1309.

    Article  Google Scholar 

  12. Cardoso, J.F., Blind Signal Separation: Statistical Principles, Proc. the IEEE, 1998, vol. 86, no. 10, pp. 2019–2025.

    Google Scholar 

  13. Gupta, M. and Santhanam, B., ICA Based Blind Adaptive MAI Suppression in DS-CDMA Systems, Proc. of IEEE-DSP Workshop—Taos Ski Valley, 2004, pp. 201–205.

  14. Ekici, O. and Yongacoglu, A., Application of Noisy Independent Component Analysis for CDMA Signal Separation, in Proc. of IEEE-DSP Workshop, Taos SkiValley, 2004, pp. 3812–3816.

  15. Lupas, R. and Verdu, S., Linear Multi-user Detector for Synchronous Code Division Multiple Access Channels, IEEE Transactions on Information Theory, 1989, pp. 3812–3816.

  16. Lee, T.W., Girolami, M., Bell, A.J., and Sejnowski, T.J., A Unifying Information-Theoretic Framework for Independent Component Analysis, Neural Networks, 2000, vol. 39, pp. 1–21.

    MATH  MathSciNet  Google Scholar 

  17. Hyvdrinen, A., Fast and Robust Fixed-Point Algorithms for Independent Component Analysis, IEEE Transactions on Neural Networks, 1999, vol. 10, no. 3, pp. 626–634.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Signal and Image Processing Laboratory Electronics and Computer Science Faculty, U.S.T.H.B.P.O. Box 32, 16111, Algiers, Algeria

    A. Hamza & S. Chitroub

Authors
  1. A. Hamza
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Chitroub
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. Hamza.

Additional information

Original Russian Text © A. Hamza, S. Chitroub, 2007, published in Avtomatika i Vychislitel’naya Tekhnika, 2007, No. 6, pp. 63–71.

The text was submitted by the authors in English.

About this article

Cite this article

Hamza, A., Chitroub, S. Performance study of receiver based on independent component analysis in CDMA systems. Aut. Conrol Comp. Sci. 41, 343–349 (2007). https://doi.org/10.3103/S0146411607060077

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0146411607060077

Key words

Search

Navigation