We obtain the dependence of the error variation of the overlap estimate of the Allan variance on the overlap coefficient in a given observation time interval with frequency fluctuation noise of the main types. Analytical expressions of normalized autocorrelation functions of frequency variations are used.
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References
GOST 8.567–2014, Measurements of Time and Frequency. Terms and Definitions.
W. J. Riley, Symmetricom – Technology Realization Center, Beverly, MA 01915, IEEE Int. Frequency Control Symp., Tampa, FL, May 4, 2003.
W. J. Riley, Handbook of Frequency Stability Analysis, NIST Spec. Publ. 1065, July 2008.
IEEE Std 1139–1999, IEEE Standard Definitions of Physical Quantities Frequency and Time Metrology – Random Instabilities.
B. D. Borisov, “Metrological accuracy of signal frequency estimates and its instability in the time domain,” Metrology of Time and Space: Proc. 9th Int. Symp., VNIIFTRI, Mendeleevo (2018), pp. 52–54.
MI 2188–92, Measures ofFfrequency and Time. Method of Verification.
S. Ya. Vilenkin, Statistical Processing of Results from the Study of Random Functions, Energiya, Moscow (1979).
S. G. Maksimenko, “Distribution function of the estimate of Allan variance: theory and practice,” Izmer. Tekhn., No. 6, 20–25 (2018).
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Translated from Izmeritel’naya Tekhnika, No. 5, pp. 7–10, May, 2019.
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Maksimenko, S.G. Error in Overlap Estimation of Allan Variance. Meas Tech 62, 390–395 (2019). https://doi.org/10.1007/s11018-019-01635-9
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DOI: https://doi.org/10.1007/s11018-019-01635-9