Spectral Technique for Baud Time Estimation
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Abstract
A new approach for baud time (or baud rate) estimation of a random binary signal is presented. This approach utilizes the spectrum of the signal after nonlinear processing in a way that the estimation error can be reduced by simply increasing the number of the processed samples instead of increasing the sampling rate. The spectrum of the new signal is shown to give an accurate estimate about the baud time when there is no apriory information or any restricting preassumptions. The performance of the estimator for random binary square waves perturbed by white Gaussian noise and ISI is evaluated and compared with that of the conventional estimator of the zero crossing detector.
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References
Albert W. Wegener, “Practical techniques for baud rate estimation ”, Acoustic, Speech and Signal Processing 1992, ICASSP-92, 1992 IEEE international conference Volume 4, 23-26 march 1992.
James E. Gaby and Stanton B. McMillan, “Automatic bit pattern analysis of communication signals”, Proceeding ICASSP-90, pp 1715-1718 1990.
Azzouz E E and Nandi A K, "New techniques for the baud duration estimation", Proceedings of EUSIPCO-96, Eds. Ramponi G, Sicuranza G L, Carrato S and Marsi S, Edizioni Lint Trieste, Italy, 1996, pp. 639-642.
Scheets and Hummels, “An adaptive bit time estimator”, IEEE Transactions on Signal Processing, Vol. 40, No. 5, 1992, pp. 1134-1142.
J. A. Sills, and J. F. Wood, Jr,. “Application of the euclidean algorithm to optimal baud-rate estimation,” Proceedings MILCOM '96, Vol. 3, pp 1015-1019, 1996.
D. Boulinguez, C. Garnier and Y. Delignon,“Time frequency and Kalman filter based baud rate estimator”, Proceedings ISPA 2003, Vol. 2, pp 866-870, 2003.
Edward A. Lee and David G. Messerschmitt, “Digital Communications”, Kluwer Academic Press, 1988.
F. G. Stremler, An Introduction to Communication Systems, Addison-Wesley, 3rd Ed., 1990.
Samuel D. Stearns, Digital signal Processing With Examples in Matlab, CRC Press, 2003.
John Proakis and Dimitris G. Manolakis, Digital Signal Processing, Prentice Hall, 4th Ed. 2007.