Approximating Optimal Estimation of Time Offset Synchronization With Temperature Variations

This paper addresses the problem of time offset synchronization in the presence of temperature variations, which lead to a non-Gaussian environment. In this context, regular Kalman filtering reveals to be suboptimal. A functional optimization approach is developed in order to approximate optimal est...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2014-12, Vol.63 (12), p.2872-2881
Main Authors: Mongelli, Maurizio, Scanzio, Stefano
Format: Article
Language:English
Subjects:
Approximation
Clocks
Control systems
Instrumentation
Neural networks
Offsets
Optimization
Real-time systems
Regression
Splines (mathematics)
Synchronism
Synchronization
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Summary:This paper addresses the problem of time offset synchronization in the presence of temperature variations, which lead to a non-Gaussian environment. In this context, regular Kalman filtering reveals to be suboptimal. A functional optimization approach is developed in order to approximate optimal estimation of the clock offset between master and slave. A numerical approximation is provided to this aim, based on regular neural network training. Other heuristics are provided as well, based on spline regression. An extensive performance evaluation highlights the benefits of the proposed techniques, which can be easily generalized to several clock synchronization protocols and operating environments.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2014.2320400