Application of the GSF-1 Algorithm to the Near-Optimal Timescale Prediction of the Hydrogen Maser

Laurent-Guy Bernier

Abstract: The GSF-1 timescale prediction algorithm is a simple generalization of the second difference prediction. It is close to optimal for combinations of power-law noise processes encountered in practice. By adding a drift parameter, it can be extended for use in presence of frequency drift without loss of optimality. It is applied to the timescale prediction of the hydrogen maser.
Published in: Proceedings of the 35th Annual Precise Time and Time Interval Systems and Applications Meeting
December 2 - 4, 2003
Hilton Resort on Mission Bay
San Diego, California
Pages: 221 - 236
Cite this article: Bernier, Laurent-Guy, "Application of the GSF-1 Algorithm to the Near-Optimal Timescale Prediction of the Hydrogen Maser," Proceedings of the 35th Annual Precise Time and Time Interval Systems and Applications Meeting, San Diego, California, December 2003, pp. 221-236.
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