GNSS positioning relies on orbit and clock information, which is predicted on the ground and transmitted by the individual satellites as part of their broadcast navigation message. For an increased autonomy of either the space or user segment, the capability to predict a GNSS satellite orbit over extended periods of up to two weeks is studied. A tailored force model for numerical orbit propagation is proposed that offers high accuracy but can still be used in real‐time environments. Using the Galileo constellation with its high‐grade hydrogen maser clocks as an example, global average signal‐in‐space range errors of less than 25 m RMS and 3D position errors of less than about 50 m are demonstrated after two‐week predictions in 95% of all test cases over a half‐year period. The autonomous orbit prediction model thus enables adequate quality for a rapid first fix or contingency navigation in case of lacking ground segment updates.

中文翻译：

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用于GNSS卫星扩展运行的长期广播星历模型

GNSS定位依赖于轨道和时钟信息，这些信息是在地面上预测的，并由各个卫星作为其广播导航消息的一部分进行传输。为了增加空间或用户部分的自治性，研究了在长达两周的延长时间内预测GNSS卫星轨道的能力。提出了一种用于数字轨道传播的量身定制的力模型，该模型具有很高的精度，但仍可以在实时环境中使用。以Galileo星座及其高级氢气maser时钟为例，在95年的两周预测后，全球平均信号空间范围误差小于25 m RMS，3D位置误差小于50 m半年内所有测试用例的百分比。