A long‐term broadcast ephemeris model for extended operation of GNSS satellites

O. Montenbruck, P. Steigenberger, Moritz Aicher
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引用次数: 5

Abstract

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 hydrogenmaser clocks as an example, global average signal-in-space range errors of less than 25mRMS 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.
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用于GNSS卫星扩展运行的长期广播星历模型
全球导航卫星系统的定位依赖于轨道和时钟信息,这些信息是在地面上预测的,并由单个卫星作为广播导航电文的一部分传输。为了增加空间段或用户段的自主权,研究了在长达两周的延长期间内预测GNSS卫星轨道的能力。提出了一种适合轨道数值传播的力模型,该模型精度高,但仍可用于实时环境。以具有高级氢激钟的伽利略星座为例,在半年的时间里,95%的测试用例经过两周的预测后,证明了全球平均信号空间距离误差小于25mRMS, 3D位置误差小于50米。因此,在缺乏地面段更新的情况下,自主轨道预测模型为快速的首次修复或应急导航提供了足够的质量。
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