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基于非差非组合观测值的Sentinel-6A精密定轨

Precise orbit determination of Sentinel-6A satellites with undifferenced uncombined observations
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摘要 针对新一代海洋测高卫星Sentinel-6A的轨道精化问题,该文利用奥地利格拉茨技术大学研发的开源数据处理软件GROOPS处理了Sentinel-6A的2023整年在轨数据,详细对比了不同来源的先验太阳光压模型,有DLR模型、Conrad模型、CNES推荐模型以及厂商提供的MAN模型,并分析了模糊度固定策略对低轨卫星定轨精度的影响。实验结果表明,虽然常用的经验力参数可以吸收大部分未模型化的摄动力,但是更适宜的先验太阳光压模型仍然可以提高轨道精度。在当前4个先验Box-Wing模型中,DLR模型表现最好,其GPS解相较于MAN模型精度提升了1.6 mm。在使用DLR模型的基础上,模糊度固定进一步提高了轨道精度,其中单GPS解和单Galileo解在切向、法向、径向分别提升了8%、5%、5%和27%、21%、15%。 In response to the orbit refinement problem of the new generation ocean altimetry satellite Sentinel-6A,this paper uses the open-source data processing software GROOPS developed by the Technical University of Graz in Austria to process Sentinel-6A's in orbit data for the whole year of 2023.Different prior solar pressure models from different sources are compared in detail,including DLR model,Conrad model,CNES recommendation model,and MAN model provided by the manufacturer.The influence of ambiguity fixed strategy on the orbit determination accuracy of low orbit satellites is also analyzed.The experimental results indicate that although commonly used empirical force parameters can absorb most unmodeled perturbation forces,a more suitable prior solar pressure model can still improve orbital accuracy.Among the current four prior Box Wing models,the DLR model performs the best,with its GPS solution improving accuracy by 1.6 mm compared to the MAN model.On the basis of using the DLR model,the fixed ambiguity further improved the orbit accuracy,with single GPS solution and single Galileo solution improving by 8%,5%,5%and 27%,21%,15%respectively in tangential,normal,and radial directions.
作者 徐爱功 袁帅 徐宗秋 祝会忠 XU Aigong;YUAN Shuai;XU Zongqiu;ZHU Huizhong(School of Geomatics,Liaoning Technical University,Fuxin,Liaoning 123000,China)
出处 《测绘科学》 北大核心 2025年第6期1-9,共9页 Science of Surveying and Mapping
基金 国家自然科学基金(42030109) 辽宁省“兴辽英才计划”项目(XLYC2203162)。
关键词 Sentinel-6A 简化动力学 太阳光压模型 SLR 模糊度固定 Sentinel-6A reduced dynamic solar radiation pressure models SLR ambiguity resolution
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