Skip to main content
Log in

A Soft-Input Soft-Output Decorrelating Block Decision-Feedback Multiuser Detector for Turbo-Coded DS-CDMA Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Previously, a decorrelating decision-feedback multiuser detector for direct-sequence code-division multiple-access (DS-CDMA) systems normally produces only hard-decision outputs of users' data. In turbo-coded DS-CDMA systems, such a multiuser detector does not match well with the soft-input soft-output nature of a turbo-decoding algorithm, thereby resulting in some extent of performance loss. In this paper, a soft-input soft-output decorrelating block decision-feedback multiuser detector is proposed to perform joint multiuser detection and turbo decoding in an iterative manner. This multiuser detector partitions the received users' data into a number of blocks appropriately and then detects the users' data on a block-by-block basis, where the soft-decision outputs are generated based on the maximum a posteriori criterion and the decision outputs of a stronger block (with a higher energy) are fed back for use in making decisions of those weaker ones. Computer simulation results show that the proposed iterative multiuser detector with turbo decoding significantly improves the bit error rate performance of a DS-CDMA receiver.

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. H.V. Poor and L.A. Rusch, “Narrowband Interference Suppression in Spread Spectrum CDMA”, IEEE Personal Commun., pp. 14–27, 1994.

  2. A. Duel-Hallen, J. Holtzman and Z. Zvonar, “Multiuser Detection for CDMA Systems”, IEEE Personal Commun., pp. 46–58, 1995.

  3. L.B. Milstein, “Interference Rejection Techniques in Spread Spectrum Communications”, Proc. IEEE, Vol. 76, pp. 657–671, 1988.

    Google Scholar 

  4. P. Patel and J. Holtzman, “Analysis of a Simple Successive Interference Cancellation Scheme in a DS/CDMA System”, IEEE J. Select. Areas Commun., Vol. 12, pp. 796–807, 1994.

    Google Scholar 

  5. B. Aazhang and H.V. Poor, “Performance of DS/SSMA Communications in Impulsive Channel-Part I: Linear Correlation Receivers”, IEEE Trans. Commun., Vol. COM-35, pp. 1179–1188, 1987.

    Google Scholar 

  6. S. Verdu, “Minimum Probability of Error for Asynchronous Gaussian Multiple Access Channel”, IEEE Trans. Inform. Theory, Vol. IT-32, pp. 85–96, 1986.

    Google Scholar 

  7. R. Lupas and S. Verdu, “Linear Multiuser Detectors for Synchronous Code-Division Multiple-Access Channels”, IEEE Trans. Inform. Theory, Vol. IT-35, pp. 123–136, 1989.

    Google Scholar 

  8. M.K. Varanasi and B. Aazhang, “Multistage Detection in Asynchronous Code-Division Multiple-Access Communications”, IEEE Trans. Commun., Vol. 38, pp. 509–519, 1990.

    Google Scholar 

  9. A. Duel-Hallen, “Decorrelating Decision-Feedback Multiuser Detection for Synchronous Code-Division Multiple-Access Channel”, IEEE Trans. Commun., Vol. 41, pp. 285–290, 1993.

    Google Scholar 

  10. J.-P. Wen, “Decorrelating Block Decision Feedback Multiuser Detection in Wireless Code-Division Multiple-Access Systems”, Master Thesis, Department of Electrical Engineering, National Tsing Hua University, ROC, June 1996.

    Google Scholar 

  11. A. Viterbi, “Spread Spectrum Communications–Myths and Realities”, IEEE Commun. Mag., Vol. 17, pp. 11–18, 1979.

    Google Scholar 

  12. A. Viterbi, “When Not to Spread Spectrum–a Sequel”, IEEE Commun. Mag., Vol. 23, pp. 12–17, 1985.

    Google Scholar 

  13. A. Viterbi, “Very Low Rate Convolutional Codes for Maximum Theoretical Performance of Spread-Spectrum Multiple-Access Channels”, IEEE J. Select. Areas Commun., Vol. 8, pp. 641–649, 1990.

    Google Scholar 

  14. G.D. Boudreau, D.D. Falconer and S.A. Mahmound, “A Comparison of Trellis Coded Versus Convolutionally Coded Spread-Spectrum Multiple-Access Systems”, IEEE J. Select. Areas Commun., Vol. 8, pp. 628–640, 1990.

    Google Scholar 

  15. B.D. Woerner and W.E. Stark, “Trellis-Coded Direct Sequence Spread Spectrum Communications”, IEEE Trans. Commun., Vol. 42, pp. 3161–3170, 1994.

    Google Scholar 

  16. B.D. Woerner, “Coded Modulation for Direct Sequence Spread Spectrum Communications”, Ph.D. Dissertation, The University of Michigan, Ann Arbor, 1991.

    Google Scholar 

  17. J. Li and H. Imai, “Turbo Coding for Spread Spectrum”, in Proc. 1996 IEEE Int. Symp. Inform. Theory and Appl. (ISITA'96), Victoria, B.C., Canada, Sept. 1996, pp. 665–668.

  18. C. Berrou, A. Glavieux and P. Thitimajshima, “Near Shannon Limit Error-Correcting Coding and Decoding: Turbo-Codes (1)”, in Proc. 1993 IEEE Int. Conf. Commun. (ICC'93), Geneva, Switzerland, May 1993, pp. 1064–1070.

  19. L.R. Bahl, J. Cocke, F. Jelinek and J. Raviv, “Optimal Decoding of Linear Codes for Minimizing Symbol Error Rate”, IEEE Trans. Inform. Theory, Vol. IT-20, pp. 284–287, 1974.

    Google Scholar 

  20. G. Golub and C. Van Loan, MATRIX Computations, The Johns Hopkins University Press: Baltimore, MD, 1983.

    Google Scholar 

  21. M. Moher, “An Iterative Multiuser Decoder for Near-Capacity Communications”, IEEE Trans. Commn., Vol. 46, pp. 870–880, 1998.

    Google Scholar 

  22. T. Moon, Z. Xie, C.K. Rushforth and R.T. Short, “Parameter Estimation in a Multi-User Communication System”, IEEE Trans. Commun., Vol. 42, pp. 2553–2560, 1994.

    Google Scholar 

  23. U. Mitra and V. Poor, “Adaptive Decorrelating Detectors for CDMA Systems”, Wireless Personal Commun. J., Vol. 2, pp. 256–290, 1995.

    Google Scholar 

  24. U. Mitra and V. Poor, “Signal Detection in a Multi-User Environment”, Wireless Personal Commun. J., Vol. 3, pp. 149–174, 1996.

    Google Scholar 

  25. H. Liu and G. Xu, “A Subspace Method for Signature Waveform Estimation in Synchronous CDMA Systems”, IEEE Trans. Commun., Vol. 44, pp. 1346–1354, 1996.

    Google Scholar 

  26. K.W. Halford and M. Brandt-Pearce, “New-User Identification in a CDMA System”, IEEE Trans. Commun., Vol. 46, 1998.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, CL., Hsu, JM., Shih, SY. et al. A Soft-Input Soft-Output Decorrelating Block Decision-Feedback Multiuser Detector for Turbo-Coded DS-CDMA Systems. Wireless Personal Communications 17, 85–101 (2001). https://doi.org/10.1023/A:1008934007003

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008934007003

Navigation