A Bayesian Method for Oscillator Characterization

F. Vernotte, G. Zalamansky

Abstract:	The power spectral density of frequency fluctuations of an oscillator is generally modeled as a sum of power laws with integer exponents (from -2 to +2). However, a power law with a fractional exponent may exist. We propose a method for measuring such a noise level and determining the probability density of the exponent. This yields a criterion for compatibility with an integer exponent. This method is based upon a Bayesian approach called the reference analysis of Bernardo-Berger. The application to a sequence of frequency measurement from a quartz oscillator illustrates this paper.
Published in:	Proceedings of the 30th Annual Precise Time and Time Interval Systems and Applications Meeting December 1 - 3, 1998 Hyatt Regency Reston Town Center Reston, Virginia
Pages:	99 - 108
Cite this article:	Vernotte, F., Zalamansky, G., "A Bayesian Method for Oscillator Characterization," Proceedings of the 30th Annual Precise Time and Time Interval Systems and Applications Meeting, Reston, Virginia, December 1998, pp. 99-108.
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