Skip to main content
Log in

Analysis of an Approximate Decorrelating Detector

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper an approximate decorrelating detector is analyzed on the basis of a first order approximation to the inverse crosscorrelation matrix of signature waveforms. The approximation is fairly accurate for systems with low crosscorrelations and is exact in the two-user synchronous case. We present an exact as well as approximate analysis of the bit-error-rate performance of this detector on a channel that is subject to flat fading, and also specifically for the case of random signature waveforms. The detector outperforms the conventional matched filter receiver in terms of BER. The approximate decorrelator (while not being near-far resistant like the decorrelating detector) is fairly robust to imperfections in power control. Power trade-off regions are identified which characterize the significant advantage that the approximate decorrelator provides over the matched filter receiver. The reduced complexity of the approximate decorrelator and performance gains over the conventional matched filter makes it a viable alternative for implementation in practical CDMA systems, in particular in those where the signature waveforms span many symbol intervals.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. R. Lupas and S. VerdÚ, “Linear multiuser detectors for synchronous code-divisionmultiple-access channels,” IEEE Trans. Info. Theory, Vol. IT-34, pp. 123–136, Jan. 1989.

    Google Scholar 

  2. M.K. Varanasi and B. Aazhang, “Multistage detection for asynchronous code-division multiple-access communications,” IEEE Trans. Commun., Vol. COM-38, pp. 509–519, Apr. 1990.

    Google Scholar 

  3. S. VerdÚ,“AdaptiveMultiuser Detection”, Proceedings of IEEE International Symposium on Spread SpectrumTheory and Applications, Oulu, Finland, 1994.

  4. S. VerdÚ “Multiuser Detection”, Advances in StatisticalSignal Processing, Vol. 2, pp. 369–409, JAI Press Inc.

  5. “Mobile Station-Base Station CompatibilityStandard for Dual-Mode Wideband Spread Spectrum Cellular System”, CIA/TIA IS-95, 1993.

  6. U. Madhow and M. L. Honig, “MMSE Detection of Direct-Sequence CDMA Signals: Analysis for RandomSignature Sequences”, Proceedings of IEEE International Symposium on Information Theory, San Antonio, Texas, 1993.

  7. J.M. Holtzman, “On Using Perturbation Analysis to do Sensitivity Analysis: Derivativesvs. Differences”, IEEE Trans. on Automatic Control, Vol. 37, No.2, 1992, pp. 243–247.

    Google Scholar 

  8. J.M. Holtzman, “A Simple Accurate Method to Calculate Spread-Spectrum Multiple Access ErrorProbabilities”, IEEE Trans. on Communications, Vol. 40, No.3, 1992, pp. 461–464.

    Google Scholar 

  9. Z. Kopal, “Numerical Analysis”, 2nd edn. New York: Wiley, 1964.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mandayam, N.B., Verdú, S. Analysis of an Approximate Decorrelating Detector. Wireless Personal Communications 6, 97–111 (1998). https://doi.org/10.1023/A:1008852822553

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008852822553

Navigation