ThêoH Bias-removal Method

D. Howe, J. McGee-Taylor, T. Tassett
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引用次数: 4

Abstract

A version of Theol variance, called TheoBR variance (BR for "bias-removed" relative to the Allan variance), is constructed. This relative bias correction is applied over a range of the longest recommended Allan r values for a given data run. TheoH deviation ('H' to indicate a hybrid combination of TheoBR, and Allan deviations) is the Allan deviation in short term and switches to the TheoBR, deviation in long term. In the presence of non-integer-power-law and mixed noise types, the approach is as effective and less cumbersome than past approaches, and requires little, if any, a priori knowledge or human judgment of data being analyzed. The substantially gained properties of Theol at large r, to 50 % beyond the longest possible r using the Allan deviation alone, can be obtained without Allan bias. Long-term frequency stability can be obtained in essentially one-third less time. For example, a two-month stability can be obtained with three months of data, rather than the four months of data that are usually required for such a point
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ThêoH Bias-removal Method
建立了一个版本的Theol方差,称为TheoBR方差(BR表示相对于Allan方差的“去偏倚”)。这种相对偏差校正适用于给定数据运行的最长推荐Allan r值范围。oh偏差('H'表示TheoBR和Allan偏差的混合组合)是短期的Allan偏差,转换为长期的TheoBR偏差。在存在非整数幂律和混合噪声类型的情况下,该方法与过去的方法一样有效,而且不那么麻烦,并且几乎不需要先验知识或对所分析数据的人工判断。在没有Allan偏差的情况下,仅使用Allan偏差就可以获得在较大r下获得的基本性质,超过最长可能r的50%。长期的频率稳定性可以在实质上减少三分之一的时间内获得。例如,可以用三个月的数据获得两个月的稳定性,而不是通常需要的四个月的数据
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