The Allan variance is the key measure for stability analysis, a fundamental tool to establish the performances of atomic clocks, which are often critical elements in many applications, such as global navigation satellite systems (GNSS). In some applications, only frequency measurements with numerous missing data are available. Because of missing data, the resulting Allan variance can be dramatically different from the expected stability behavior.We have developed an Allan variance estimator which corrects this divergence. We show the effectiveness of our estimator by applying it to frequency measurements with up to 94.4% of missing data.

Estimating the Allan Variance from Frequency Measurements with Missing Data, / Sesia, I.. - 2017:(2017), pp. 34-37. ((Intervento presentato al convegno European Frequency and Time Forum (EFTF) tenutosi a Besançon, France nel 10-13 July 2017.

Estimating the Allan Variance from Frequency Measurements with Missing Data,

I. Sesia
2017

Abstract

The Allan variance is the key measure for stability analysis, a fundamental tool to establish the performances of atomic clocks, which are often critical elements in many applications, such as global navigation satellite systems (GNSS). In some applications, only frequency measurements with numerous missing data are available. Because of missing data, the resulting Allan variance can be dramatically different from the expected stability behavior.We have developed an Allan variance estimator which corrects this divergence. We show the effectiveness of our estimator by applying it to frequency measurements with up to 94.4% of missing data.
European Frequency and Time Forum (EFTF)
10-13 July 2017
Besançon, France
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11696/66036
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