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Optimum synthesis for time scale generation

机译:最佳的合成以生成时标

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摘要

A time scale can be regarded as a synthesis of readings fromnprecise clocks. Usually such synthesis is based on the principle ofnweighted averaging, which balances the contribution of each clocknaccording to its noise level. It is well known that there are fivendifferent noise processes in precise clocks. Therefore, a good synthesisnshould balance each of those noise levels. Most existing algorithmsncontrol only one or two noise types. If an algorithm can control allnfive noise types simultaneously, we consider it to be optimum. The keynpoint of constructing an optimum algorithm is the separation of all fivennoise types. In this paper, an optimum algorithm is presented using thenhalf-integrating/half-differentiating model by which the five noisentypes are separated correctly. Performances of the new algorithm arendemonstrated with simulated and real data
机译:时间刻度可以看作是精确时钟读数的综合。通常,这种合成基于加权平均的原理,该原理根据每个时钟的噪声水平来平衡每个时钟的贡献。众所周知,精确时钟中有五个不同的噪声过程。因此,良好的综合应该平衡那些噪声水平。大多数现有算法仅控制一种或两种噪声类型。如果一种算法可以同时控制所有噪声类型,我们认为它是最佳的。构造最佳算法的关键是所有五噪声类型的分离。在本文中,提出了一种使用半积分/半微分模型的最优算法,通过该模型可以正确分离出五个噪声类型。仿真和真实数据演示了新算法的性能

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