Satellite Clock and Ephemeris Error Bounding Characterization for Galileo and Estimated CNAV

Xinwei Liu, Rebecca Wang, J. Blanch, Todd Walter
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Abstract

The Advanced Receiver Autonomous Integrity Monitoring (ARAIM) concept relies on characterizing the satellite clock and ephemeris bounding parameters. In this paper, we expand on the previous study on the GPS error bounding parameters to include Galileo and the approximation of the bounding parameters of the Civil Navigation (CNAV) Message type. In particular, we compute the bounding parameters that capture their inherent variability. We then partition the error by their observable conditions to determine whether the currently collected data is representative of future error behavior. Furthermore, for Galileo, we change the nominal error definition to investigate how it would affect the bounding parameter distribution. We find that the Galileo normalized error data are bounded with Gaussian with mean of 0.04 and standard deviation of 0.04 for different partitions with newer satellites having more stable and lower bounding parameters. Lowering the nominal error definition threshold stabilizes the bounding parameters. We estimate the CNAV bounding parameter by lowering the σURA values. We find the normalized errors are bounded with Gaussian with mean of 0.41 and standard deviation of 1.15 even after lowering the σ URA values. In addition, lowering the σ URA values stabilizes the bounding parameters.
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伽利略和估计CNAV的卫星时钟和星历误差边界特性
先进接收机自主完整性监测(ARAIM)概念依赖于描述卫星时钟和星历边界参数。本文在前人对GPS误差边界参数研究的基础上,扩展到伽利略和民用导航报文类型边界参数的近似。特别是,我们计算捕获其固有可变性的边界参数。然后,我们根据它们的可观察条件对误差进行划分,以确定当前收集的数据是否代表未来的错误行为。此外,对于Galileo,我们更改了名义误差定义,以研究它如何影响边界参数分布。我们发现伽利略归一化误差数据具有高斯边界,其均值为0.04,标准差为0.04,对于不同分区的新卫星具有更稳定和更低的边界参数。降低标称误差定义阈值可以稳定边界参数。我们通过降低σURA值来估计CNAV边界参数。我们发现,即使降低σ URA值,归一化误差也以高斯有界,均值为0.41,标准差为1.15。此外,降低σ URA值可以稳定边界参数。
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