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Analysis of Tiangong-2 orbit determination and prediction using onboard dual-frequency GNSS data

机译:用车载双频GNSS数据分析天孔-2轨轨轨道测定和预测

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摘要

Tiangong-2 is the first Chinese real space laboratory, launched into earth orbit with an altitude of approximately 393 km on September 15, 2016. Precise orbit determination (POD) is one of the essential conditions for conducting onboard scientific research. The precise orbit of Tiangong-2 is mainly determined by the reduced-dynamic method using space-borne global navigation satellite system (GNSS) data, which are collected by an onboard dual-frequency GNSS receiver. The in-flight performance of the receiver is first assessed in terms of tracking ability, code multipath errors and noise levels of code and carrier phase observations. Then, the effects of refined non-gravitational force models and GNSS antenna phase center variations (PCVs) on the POD are analyzed. The estimated empirical accelerations are substantially reduced by 45% in the along-track direction using a macro-model compared to that using a cannonball model for drag computation. The application of antenna PCVs correction leads to better consistency between reduced-dynamic and kinematic orbit solutions. Satellite laser ranging validation shows that the accuracy of Tiangong-2 precise orbits is 1.7 cm after using the improved reduced-dynamic method. Based on the orbit determination results, the quality of Tiangong-2 orbit predictions is assessed for periods without and with the refined non-gravitational force models. The use of the macro-model and high-quality density models for drag computation is shown to help improve orbit prediction quality.
机译:天才-2是第一个中国真正的空间实验室,2016年9月15日的海拔高度的地球轨道轨道。精确的轨道测定(POD)是进行船上科学研究的基本条件之一。强化-2的精确轨道主要由使用空间传播的全球导航卫星系统(GNSS)数据的减少动态方法决定,该数据由车载双频GNSS接收器收集。首先在跟踪能力方面进行评估,代码多路径误差和代码和载波相位观测的噪声水平评估接收器的飞行中性能。然后,分析了POD上精制的非重力模型和GNSS天线相位中心变型(PCV)的效果。与使用炮弹模型进行拖动计算,估计的经验加速度在沿轨道方向上基本上减小了45%的沿轨道方向。天线PCVS校正的应用导致减少动态和运动轨道解决方案之间的更好一致性。卫星激光测距验证表明,使用改进的减少动态方法后,天孔-2精确轨道的精度为1.7厘米。基于轨道测定结果,对天平-2轨道预测的质量进行了评估了不含细化的非重力模型的时期。显示使用宏观模型和高质量密度模型进行拖动计算,以帮助提高轨道预测质量。

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