Clock state estimation with the Kalman-like UFIR algorithm via TIE measurement
Review articleOpen access
Abstract:

AbstractWe show that recently designed the p-shift unbiased finite impulse response (UFIR) iterative algorithm is highly efficient in applications to clock state estimation via measurement of the time interval error (TIE). The algorithm is Kalman-like, but does not involve noise statistics and initial errors. Its crucial property is that the estimate becomes optimal in the minimum mean square error sense when the estimator memory is large that is typical for clocks. Examples are given for state estimation in an ovenized crystal clock and error prediction in a master clock. Based upon the experimental studies, we show that this algorithm outperforms the Kalman filter requiring the clock noise covariance matrix that is hard to specify correctly even in white Gaussian approximation.

Request full text

References (0)

Cited By (0)

No reference data.
No citation data.
Advertisement
Join Copernicus Academic and get access to over 12 million papers authored by 7+ million academics.
Join for free!