|Abstract:||A test bed is described for the evaluation of timescale algorithms. Test results for two algorithms (AT1 and KAS-1) using sinulated data are presented. Both algorithms are optimum in the sense that, with the appropriate selection of clock weights, they are able to produce an output with minimum squared time prediction error in steady state for ensembles of clocks whose noises are all proportional to the noise of one of the members. The KAS--1 algorithm is also optimum during known transients such as startup, utilizes robust outlier detection, and has the property of time continuity. As a result of these improvements, KAS-1 is more suited to automated operation. Neither algorithm is optimum at all sampling times for ensembles of clocks having radically different noise processes. The KAS-1 algorithm and a clock sinulator, both representing a new Kalman-filter approach, are documented herein.|
Proceedings of the 21th Annual Precise Time and Time Interval Systems and Applications Meeting
November 28 - 30, 1989
Redondo Beach, California
|Pages:||269 - 288|
|Cite this article:||
Stein, S.R., Gifford, G.A., Breakiron, L.A., "REPORT ON THE TIMESCALE ALGORITHM TEST BED AT USNO," Proceedings of the 21th Annual Precise Time and Time Interval Systems and Applications Meeting, Redondo Beach, California, November 1989, pp. 269-288.
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