Fast TheoBR: A Method for Long Data Set Stability Analysis

doi:10.1109/TUFFC.2010.1656

2010-09-01

PRE

Taylor, Jennifer A. . *

David A. Howe

DOI：10.1109/TUFFC.2010.1656

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摘要

En 中文

TheoBR is a high-confidence statistic that evaluates frequency stability at long tau values. However, for real-world data sets that contain thousands of points or more, the calculation of TheoBR can take hours, days, or even weeks on a typical PC. To make the calculation of TheoBR faster for these data sets, a method of averaging points together within the data set is developed. The error introduced by this technique is analyzed and compared with the exact value, and a correction formula is developed to minimize this error for FM noise types. Finally, the technique is applied to real data sets and determines stability at the longest tau values in seconds as opposed to weeks.