Add to ORKGAbsiract-The Kalman filter in question, which was implemented in the time scale algorithm TA(MST), produces time scales with poor short-term stability. A simple modification of the error covariance matrix allows the filter to produce time scales with good stability at all averaging times, as verified by simulations of clock ensembles.* I
In this work, we study concepts in optimal control for dynamic equations on time scales, which unfie...
The impact of combining two covariance matrix reduction methods on the resulting Kalman filter time...
TA2 is a time scale algorithm designed to run as a post-processor by smoothing, i.e. combining estim...
The Jones-Tryon Kalman filter, which was implemented in the time scale algorithm TA(NIST), produces ...
This paper summarizes the author's work ontimescales based on Kalman filters that act upon the clock...
A study is made of the various aspects of the algorithm theoretically, comparing the NBS (US Nationa...
The Kalman filter is a very useful tool of estimation theory, successfully adopted in a wide variety...
Clock ensembling is a promising concept for future time scale generation as robustness and stability...
The KPW (Kalman plus weights) time scale algorithm uses a Kalman filter to provide frequency and dri...
Atomic Clocks provide "stable" signals that are mainly used to generate time scales and to measure d...
In this paper, we discretize a stochastic linear time-invariant system to a dynamic system on a time...
The algorithm which generates the AT1 time scale at the National Institute of Stan-dards and Technol...
The algorithm which generates the AT1 time scalc at thc Natiorlal Institute of Stan-dards and Techno...
In this paper, we present a generalized Japan Standard Time algorithm (JST-algo) for higher-order at...
A test bed is described for the evaluation of tirnrscale i~lgorithms. Test results for two algorithm...
In this work, we study concepts in optimal control for dynamic equations on time scales, which unfie...
The impact of combining two covariance matrix reduction methods on the resulting Kalman filter time...
TA2 is a time scale algorithm designed to run as a post-processor by smoothing, i.e. combining estim...
The Jones-Tryon Kalman filter, which was implemented in the time scale algorithm TA(NIST), produces ...
This paper summarizes the author's work ontimescales based on Kalman filters that act upon the clock...
A study is made of the various aspects of the algorithm theoretically, comparing the NBS (US Nationa...
The Kalman filter is a very useful tool of estimation theory, successfully adopted in a wide variety...
Clock ensembling is a promising concept for future time scale generation as robustness and stability...
The KPW (Kalman plus weights) time scale algorithm uses a Kalman filter to provide frequency and dri...
Atomic Clocks provide "stable" signals that are mainly used to generate time scales and to measure d...
In this paper, we discretize a stochastic linear time-invariant system to a dynamic system on a time...
The algorithm which generates the AT1 time scale at the National Institute of Stan-dards and Technol...
The algorithm which generates the AT1 time scalc at thc Natiorlal Institute of Stan-dards and Techno...
In this paper, we present a generalized Japan Standard Time algorithm (JST-algo) for higher-order at...
A test bed is described for the evaluation of tirnrscale i~lgorithms. Test results for two algorithm...
In this work, we study concepts in optimal control for dynamic equations on time scales, which unfie...
The impact of combining two covariance matrix reduction methods on the resulting Kalman filter time...
TA2 is a time scale algorithm designed to run as a post-processor by smoothing, i.e. combining estim...