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Simulation Study Using a New Type of Sample VarianceWe evaluate with simulated data a new type of sample variance for the characterization of frequency stability. The new statistic (referred to as TOTALVAR and its square root TOTALDEV) is a better predictor of long-term frequency variations than the present sample Allan deviation. The statistical model uses the assumption that a time series of phase or frequency differences is wrapped (periodic) with overall frequency difference removed. We find that the variability at long averaging times is reduced considerably for the five models of power-law noise commonly encountered with frequency standards and oscillators.
Document ID
19960042635
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Howe, D. A. (National Inst. of Standards and Technology Boulder, CO United States)
Lainson, K. J. (National Inst. of Standards and Technology Boulder, CO United States)
Date Acquired
August 17, 2013
Publication Date
May 1, 1996
Publication Information
Publication: 27th Annual Precise Time and Time Interval (PTTI) Applications and Planning Meeting
Subject Category
Physics (General)
Accession Number
96N31598
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19960042616Collected Works27th Annual Precise Time and Time Interval (PTTI) Applications and Planning Meeting
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