Skip to main content
Log in

Feedforward Data-Aided Frequency Estimator for Burst-Mode Digital Transmission

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Data detection burst mode systems requires that an accurate frequency of oscillator instabilities and doppler frequency be formed using the preamble. Current techniques manipulate the preamble's autocorrelation smaples to form the frequency estimate. In this paper we present a new estimator which uses the average of the product of adjacent autocorrelation samples. The algorithm has a feedforward structure which is easy to implement and a wide frequency acquisition range. The frequency estimate is unbiased and asymptotically reaches the Cramer Raó bound (CRB). From the derivation of the variance we calculate optimum weights using constrained optimisation. Implementation issues suggest it is possible to use a sub-optimal number of autocorrelation samples. Simulation results show that the corresponding sub-optimum weights have little effect on performance. Finally, the estimator's performance is compared to alternative techniques in the literature.

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. S.M. Kay, Modern Spectral Estimation, Prentice-Hall Inc., Englewood Cliffs, NJ, 1988.

    Google Scholar 

  2. S.M. Kay, “A Fast and Accurate Single Frequency Estimator,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, pp. 1987–1990, December 1989.

    Google Scholar 

  3. S. Tretter, “Estimating the Frequency of a Noisy Sinusoid by Linear Regression,” IEEE Transactions on Information Theory, Vol. 37, pp. 954–961, November 1985.

    Google Scholar 

  4. G.W. Lank, I.S. Reed and G.E. Pollen, “A Semicoherent Detection and Doppler Estimation Statistic,” IEEE Transactions on Aerospace and Electronic Systems, Vol. AES- 9, pp. 151–165, March 1973.

    Google Scholar 

  5. M.P. Fitz, “Planar Filtered Techniques for Burst Mode Carrier Synchronization,” in Conference Record of Globecom '91, Phoenix, USA, pp. 12.1.1–12.1.5, December 1991.

  6. M.P. Fitz, “Further Results in the Fast Estimation of a Single Frequency,” IEEE Transactions on Communications, Vol. 42, No.2/3/4, pp. 862–864, February/March/April 1994.

    Google Scholar 

  7. M. Luise and R. Reggiannini, “Carrier Frequency Recovery in All-Digital Modems for Burst Mode Transmissions,” IEEE Transactions on Communications, Vol. COM- 4, No.2/3/4, pp. 1169–1178, March 1995.

    Google Scholar 

  8. F. Classen, H. Meyr and P. Sehier, “Maximum Likelihood Open Loop Carrier Recovery for Digital Radio,” in Conference Record of the International Conference on Communications, pp. 493–497, Geneva, Switzerland, May 1993.

  9. U. Mengali and M. Morelli, “DataAided Frequency Estimation for Burst Digital Transmission,” in International Symposium on Synchronisation, Prof. Han Vinck (ed.), Essen, Germany, 14- 15 December 1995.

  10. S.M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, PrenticeHall Inc., 1993.

  11. D.C. Rife and R.R. Boorstyn, “Single Tone Parameter Estimation from Discrete-Time Observations.” IEEE Transactions on Information Theory, Vol. IT- 20, No.5, pp. 591–598, September 1974.

    Google Scholar 

  12. T.S. Rappaport, Wireless Communications: Principles and Practice, IEEE Press, 1995.

  13. S. Haykin, Adaptive Filter Theory, Prentice-Hall International, 2nd edition, 1991.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

O'Shea, D., Verdin, D. & Tozer, T.C. Feedforward Data-Aided Frequency Estimator for Burst-Mode Digital Transmission. Wireless Personal Communications 8, 131–149 (1998). https://doi.org/10.1023/A:1008803209489

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008803209489

Navigation