Skip to main content
SpringerLink
Log in

Performance of a CDMA System with an Adaptive Receiver and a New Family of Complex Valued Spreading Sequences

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper presents the results of a capacity evaluation for a direct-sequence (DS), code-division, multiple access (CDMA) system over both an additive white Gaussian noise (AWGN) channel and a Rayleigh fading channel. The system considered uses an adaptive receiver. The performance of sets of sequences from various binary and complex valued families is examined. The performance of the system is measured in terms of the total efficiency, and it is shown that the new sequence sets offer higher system capacity and lower signal-to-noise power spectral density ratios.

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. A.J. Viterbi, “When Not to Spread-Spectrum– a Sequel”, IEEE Communications Magazine, Vol. 23, No.4, pp. 1309–1319, 1985.

    Google Scholar 

  2. P. Rapajic and B.S. Vucetic, “Adaptive Receiver Structures for Asynchronous CDMA Systems” IEEE Journal on Selected Areas in Communications, Vol. 12, No.4, 1994.

  3. U. Madhow and M. Honig, “MMSE Interference Supression for Direct Sequence Spread Spectrum CDMA”, IEEE Transactions on Communications, Vol. 42, No.12, pp. 3178–3188, 1994.

    Google Scholar 

  4. S. Miller, “An Adaptive Direct-Sequence Code-Division Multiple-Access Receiver for Multiuser Interference Rejection”, IEEE Transactions on Communications, Vol. 43, No.2/3/4, pp. 1746–1755, 1995.

    Google Scholar 

  5. K.H. Kärkkäinen, “Mean-Square Cross-Correlation as a Performance Measure for Spreading Code Families”, IEEE 2nd International Symposium on Spread Spectrum Techniques and Applications (ISSSTA '92), pp. 147–150.

  6. M.B. Pursley, “Performance Evaluation of Phase Coded Spread-Spectrum Multiple-Access Communication – Part 1: System Analysis”, IEEE Transactions on Communications, Vol. COM-25, No.8, pp. 795–799, 1977.

    Google Scholar 

  7. D.V. Sarwate and M.B. Pursley, “Crosscorrelation Properties of Pseudorandom and Related Sequences”, Proceedings of the IEEE, Vol. 68, No.5, pp. 593–619, 1980.

    Google Scholar 

  8. M.B. Pursley, “Mean-Square Correlation of Shift-Register Sequences”, IEE Proceedings, Vol. 131, Part, No. 2, pp. 795–799, 1984.

    Google Scholar 

  9. I. Oppermann, P. Rapajic and B.S. Vucetic, “Complex Valued Spreading Sequences with Good Cross-Correlation Properties”, International Symposium on Spread Spectrum Techniques and Applications (ISSTA '94), Oulu, Finland, pp. 500–504, 1994.

  10. I. Oppermann and B.S. Vucetic, “Complex Pseudo Random Spreading Sequences with a Wide Range of Correlation Properties”, GLOBECOM '94, San Francisco, U.S.A., pp. 1738–1742, 1994.

  11. E.A. Geraniotis and M.B. Pursley, “Error Probability for Direct-Sequence Spread-Spectrum Multiple-Access Communications – Part 2: Approximations”, IEEE Transactions on Communications, Vol. COM-30, No.5, pp. 985–995, 1982.

    Google Scholar 

  12. D.V. Sarwate, “Bounds on Crosscorrelation and Autocorrelation of Sequences”, IEEE Transactions on Information Theory, Vol. IT-25, No.6, pp. 720–724, 1979.

    Google Scholar 

  13. S.U.H. Qureshi, “Adaptive Equalization”, Proceedings of the IEEE, Vol. 73, No.9, pp. 1349–1387, 1985.

    Google Scholar 

  14. S. Haykin, “Adaptive Filter Theory”, Englewood Cliffs, NJ: Prentice Hall, 1991.

    Google Scholar 

  15. G. Ungerboeck, “Theory on the Speed of Convergence in Adaptive Equalisers for Digital Communications”, IBM Journal Research Development, Vol. 16, pp. 546–555.

  16. H. Fukumasa, R. Kohno and H. Imai, “Design of Pseudonoise Sequences with Good Odd and Even Correlation Properties for DS/CDMA”, IEEE Journal on Selected Areas in Communications, Vol. 12, No.5, pp. 828–836, 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Sydney, Sydney, NSW 2006, Australia E-mail

    Ian Oppermann & Clinton Grant

Authors
  1. Ian Oppermann
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Clinton Grant
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oppermann, I., Grant, C. Performance of a CDMA System with an Adaptive Receiver and a New Family of Complex Valued Spreading Sequences. Wireless Personal Communications 7, 111–134 (1998). https://doi.org/10.1023/A:1008888810320

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008888810320

Search

Navigation