The application of Kalman filters and ARIMA models to the study of time prediction errors of clocks for use in the Defense Communication System (DCS)

Stein, Samuel; S. Evans, Jeffrey

doi:10.1109/freq.1990.177553

Public

The application of Kalman filters and ARIMA models to the study of time prediction errors of clocks for use in the Defense Communication System (DCS)

Published • Dec 4, 2002

Authors:

Samuel Stein

Jeffrey S. Evans

Abstract

Techniques for obtaining optimum timekeeping performance from precision station clocks are presented. Kalman filters and ARIMA models are used to study the predictability of precision clocks based on quartz, rubidium and cesium technology. The software performing the time prediction error analysis u...

Subject

Kalman filter

Autoregressive integrated moving average

Computer science

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