Estimating the Allan variance from frequency measurements with missing data

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...

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Bibliographic Details
Published in2017 Joint Conference of the European Frequency and Time Forum and IEEE International Frequency Control Symposium (EFTF/IFCS) pp. 34 - 37
Main Authors Galleani, Lorenzo, Sesia, Ilaria
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Atomic clocks
Distributed databases
Frequency estimation
Stability analysis
Time-frequency analysis
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Summary: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.
ISSN:2327-1949
DOI:10.1109/FCS.2017.8088794