Accuracy Analysis of LEO Satellite Orbit Prediction Based on Dynamic Fitting Method
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摘要: 轨道预报是地球探测卫星顺利执行科学任务的一个重要环节。为了实现对低轨卫星长弧段、高精度的轨道预报,文中运用动力学轨道拟合的方法进行轨道预报。选用GRACEA卫星、HY2A卫星和JASON2卫星为例进行预报处理,分析了卫星的轨道高度和拟合弧长对轨道预报结果的影响。结果表明,GRACEA卫星预报4 h和8 h轨道的3D RMS分别优于3 m和10 m,HY2A卫星和JASON2预报4 h轨道的3D RMS分别优于2 dm和1 dm,24 h轨道预报结果3D RMS分别优于2.5 m和2 m.Abstract: The orbit prediction plays a significant role in the scientific mission of remote sensing satellite. To obtain the longperiod and highprecision orbit prediction, the orbit forecast is performed by a dynamic fitting method. To analyze the effect of orbital height and different fitting arc lengths on the accuracy of orbit forecast, the data of the GRACEA satellite,HYA satellite, Jason2 satellite are used as examples. From the results, it is concluded that the prediction orbit of 3D RMS of 4 h and 8 h arc length of GRACEA satellites,the results are better than 3 m and 10 m respectively; for HY2A and Jason2 the 4 h arc length prediction results are less than 2 dm and 1 dm separately, 24 h arc length prediction results are better than 2.5 m and 2 m respectively.
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Key words:
- Low earth orbiting satellite /
- orbit prediction /
- dynamic fitting
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