• DocumentCode
    11793
  • Title

    An Event-Based Kalman Filter for Clock Synchronization

  • Author

    Giorgi, Giada

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
  • Volume
    64
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    449
  • Lastpage
    457
  • Abstract
    The distribution of a time reference has long been a significant research topic in measurement and different solutions have been proposed over the years. In this context, the design of servo clocks plays an important role to get better performances by smoothing the influence of noise sources affecting a synchronization system. A servo clock is asked to provide an adaptive and conservative measure of the time distance between the local clock and the time reference by minimizing, if possible, the energy consumption. In this paper, we propose a servo clock based on an efficient implementation of the Kalman filter (KF), called in the following event-based KF that allows to overcome drawbacks of existing KF-based servo clocks with furthermore a significant reduction of the computational cost. An in-depth analysis of the synchronization uncertainty has been reported to completely characterize the proposed solution; and finally, some guidelines on how to correctly initialize the KF are provided.
  • Keywords
    Kalman filters; clocks; measurement uncertainty; servomechanisms; synchronisation; time measurement; clock synchronization; energy consumption; event-based KF; event-based Kalman filter; noise source smoothing; servoclock; synchronization system; time distance measurement; time reference distribution; Clocks; Kalman filters; Noise; Oscillators; Servomotors; Synchronization; Uncertainty; Clock modeling; Kalman filtering; event-based systems; synchronization; uncertainty analysis;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2014.2340631
  • Filename
    6871371