基于动力学轨道拟合的LEO卫星轨道预报精度分析

Accuracy Analysis of LEO Satellite Orbit Prediction Based on Dynamic Fitting Method

  • 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GRACEA卫星、HY2A卫星和JASON2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,GRACEA卫星预报4 h和8 h轨道的3D RMS分别优于3 m和10 m,HY2A卫星和JASON2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 longperiod and highprecision 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 GRACEA satellite,HYA satellite, Jason2 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 GRACEA satellites,the results are better than 3 m and 10 m respectively; for HY2A and Jason2 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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