2011 Joint Conference of the IEEE International Frequency Control and the European Frequency and Time Forum (FCS) Proceedings 2011
DOI: 10.1109/fcs.2011.5977876
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The use of multi-variance for likelihood weighted drift estimation in a disciplined oscillator algorithm

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(4 citation statements)
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“…8 presents an image of the simulated disciplined system (in red) against the actual in-situ CSAC minus USO (in green) and CSAC minus maser (in blue). The most apparent aspect in the propagated USO data are the small frequency anomalies at day 3 and day 17 caused by gaps introduced into the data collection, a further demonstration of the algorithm described in [6].…”
Section: Figure 6 -Example Of Uso Frequency Perturbation As Distinguimentioning
confidence: 97%
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“…8 presents an image of the simulated disciplined system (in red) against the actual in-situ CSAC minus USO (in green) and CSAC minus maser (in blue). The most apparent aspect in the propagated USO data are the small frequency anomalies at day 3 and day 17 caused by gaps introduced into the data collection, a further demonstration of the algorithm described in [6].…”
Section: Figure 6 -Example Of Uso Frequency Perturbation As Distinguimentioning
confidence: 97%
“…2, errors to timekeeping accuracy found in [6] were mostly involved with the incidence of frequency perturbations in the USO. These USO frequency perturbations were attributed to inadvertent changes to thermal vacuum condition, which was intended to remain constant over the 72 day test period.…”
Section: Figure 1 -Notional System Block Diagram Of Jhu/apl Disciplinmentioning
confidence: 98%
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