Application of the GSF-1 Algorithm to the Near-Optimal Timescale Prediction of the Hydrogen Maser
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2004
- Accession Number
- ADA427931
Entities
People
- Laurent-guy Bernier