Skip to main content
Log in

On Blind Timing Acquisition and Channel Estimation for Wideband Multiuser DS-CDMA Systems

  • Published:
Journal of VLSI signal processing systems for signal, image and video technology Aims and scope Submit manuscript

Abstract

The problems of blind timing acquisition and channel estimation for DS-CDMA signals in multipath fading channels are investigated. Using only the spreading code of the desired user, methods based on QR decompositions are proposed. These methods perform comparably or even better than subspace based methods with an order lower complexity. Furthermore, the methods exhibit significantly more robustness to channel order mismatch. Based on the acquired timing information, channel estimation algorithms are also developed which are competitive with the previously proposed subspace based channel estimation algorithms. In addition, a channel order estimation algorithm is proposed for the scenario where the order is unknown. Performance of the proposed algorithms is evaluated through simulation and comparison to asymptotic Cramér-Rao bounds.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. J.G. Proakis, Digital Communications, 3rd edn., New York: McGraw-Hill, 1995, Ch. 14, pp. 795-797.

    Google Scholar 

  2. T. Rappaport, S. Seidel, and R. Singh, “900-MHz Multipath Propagation Measurements for U.S. Digital Cellular Radiotelephone,” IEEE Transactions on Vehical Technology, vol. 39, May 1990, pp. 132-139.

    Article  Google Scholar 

  3. E. Aktas and U. Mitra, “Single User Sparse Channel Acquisition for DS/CDMA,” submitted to the IEEE Transactions on Communication, June 2000.

  4. S.E. Bensley and B. Aazhang, “Subspace-Based Channel Estimation for Code Division Multiple Access Communication Systems,” IEEE Transactions on Communications, vol. 44,no. 8, Aug. 1996, pp. 1009-1020.

    Article  MATH  Google Scholar 

  5. M. Torlak and G. Xu, “Blind Multiuser Channel Estimation in Asynchronous CDMA Systems,” IEEE Transactions on Signal Processing, vol. 45,no. 1, Jan. 1997, pp. 137-147.

    Article  MATH  Google Scholar 

  6. M.K. Tsatsanis and Z. (Daniel) Xu, “Performance Analysis of Minimum Variance CDMA Receivers,” IEEE Transactions on Signal Processing, vol. 46,no. 11, Nov. 1998, pp. 3014-3022.

    Article  Google Scholar 

  7. M. Honig, U. Madhow, and S. Verdú, “Blind Multiuser Detection,” IEEE Trans. Inform. Theory, vol. 41,no. 7, July 1995, pp. 944-960.

    Article  MATH  Google Scholar 

  8. X. Wang and H.V. Poor, “Blind Equalization and Multiuser Detection in Dispersive CDMA Channels,” IEEE Transactions on Communications, vol. 46,no. 1, Jan. 1998, pp. 91-103.

    Article  Google Scholar 

  9. X. Wang and H.V. Poor, “Blind Multiuser Detection: A Subspace Approach,” IEEE Transactions on Information Theory, vol. 44,no. 2, March 1998, pp. 677-690.

    Article  MathSciNet  MATH  Google Scholar 

  10. I. Sharfer and A.O. Hero, “A Maximum Likelihood Digital Receiver Using Coordinate Ascent and the Discrete Wavelet Transform,” IEEE Transactions on Signal Processing, vol. 47,no. 3, March 1999, pp. 813-825.

    Article  Google Scholar 

  11. E.G. Ström, S. Parkvall, S.L. Miller, and B.E. Ottersten, “Propagation Delay Estimation in Asynchronous Direct-Sequence Code-Division Multiple Access systems,” IEEE Transactions on Communications, vol. 44,no. 1, Jan. 1996, pp. 84-93.

    Article  MATH  Google Scholar 

  12. U. Madhow, “Blind Adaptive Interference Suppression for the Near-far Resistant Acquisition and Demodulation of Direct-sequence CDMA Signals,” IEEE Transactions on Signal Processing, vol. 45,no. 1, Jan. 1997, pp. 124-136.

    Article  Google Scholar 

  13. E. Ertin, U. Mitra, and S. Siwamogsatham, “Maximum-Likelihood Based Multipath Channel Estimation for Code-Division Multiple-Access Systems,” IEEE Transactions on Communications, vol. 49,no. 2, February 2001, pp. 290-302.

    Article  MATH  Google Scholar 

  14. E.M. Dowling, L.P. Ammann, and R.D. DeGroat, “A TQR-Iteration Based Adaptive SVD for Real Time Angle and Frequency Tracking,” IEEE Transactions on Signal Processing, vol. 42,no. 4, April 1994, pp. 914-926.

    Article  Google Scholar 

  15. C.H. Bischof and G.M. Shroff, “On Updating Signal Subspaces,” IEEE Transactions on Signal Processing, vol. 40,no. 1, Jan. 1992, pp. 96-105.

    Article  Google Scholar 

  16. X. Li and H. (Howard) Fan, “QR Factorization Based Blind Channel Identification and Equalization with Second-Order Statistics,” IEEE Transactions on Signal Processing, vol. 48,no. 1, Jan. 2000, pp. 60-69.

    Article  MathSciNet  MATH  Google Scholar 

  17. L. Tong, G. Xu, and T. Kailath, “Blind Identification and Equalization Based on Second-Order-Statistics: A Time Domain Approach,” IEEE Transactions on Information Theory, vol. 40, March 1994, pp. 340-349.

    Article  Google Scholar 

  18. G.H. Golub and C.F. Van Loan, Matrix Computations, 3rd edn., Baltimore, MD, The Johns Hopkins University Press, 1996.

    MATH  Google Scholar 

  19. J. Rissanen, “Modeling By Shortest Data Description,” in Proceedings of IFAC, 1978, pp. 465-471.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pi, Z., Mitra, U. On Blind Timing Acquisition and Channel Estimation for Wideband Multiuser DS-CDMA Systems. The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 30, 127–142 (2002). https://doi.org/10.1023/A:1014098825808

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1014098825808

Navigation