DocumentCode
3021812
Title
A novel theoretical analysis of fault detection for atomic clock
Author
Nunzi, E. ; Ippolito, D.D.
Author_Institution
Dept. of Electron. & of Inf. Eng., Univ. of Perugia, Perugia, Italy
fYear
2009
fDate
6-7 July 2009
Firstpage
85
Lastpage
88
Abstract
The Generalized Likelihood Ratio Test (GLRT) is a fault detection technique usually employed for revealing faulting behavior by analyzing a finite length sequence of data. This technique is largely employed in many engineering applications and recently its effectiveness has been proved for detecting anomalies also in on-board atomic clocks. Although the large number of scientific publications allows a simple interpretation of the GLRT outcome, the application of the GLRT to frequency data acquired from atomic clocks still need to be properly customized and metrologically characterized. In particular, by considering Global Navigation Satellite Systems (GNSS), the most effective application where atomic clocks are used, a faulting clock behavior should be recognized fast and efficiently in order to guarantee the system target accuracy. In this paper, a novel theoretical analysis of the GLRT is performed for revealing frequency jumps and variance changes. An application example shows how the presented analysis can be used for deriving practical criteria that simplify the application of the fault detection procedure based on the GLRT to atomic clock frequency data.
Keywords
atomic clocks; fault diagnosis; maximum likelihood estimation; GNSS; Global Navigation Satellite Systems; atomic clock; fault detection; finite length data sequence; generalized likelihood ratio test; Analysis of variance; Atomic clocks; Detectors; Fault detection; Frequency; Global Positioning System; Information analysis; Monitoring; Performance analysis; Satellite navigation systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Methods for Uncertainty Estimation in Measurement, 2009. AMUEM 2009. IEEE International Workshop on
Conference_Location
Bucharest
Print_ISBN
978-1-4244-3593-7
Electronic_ISBN
978-1-4244-3593-7
Type
conf
DOI
10.1109/AMUEM.2009.5207592
Filename
5207592
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