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摘要: ELSETS空间碎片编目数据库所提供的TLE数据是公开获得轨道信息的主要来源之一。由于TLE数据的精度存在波动,导致传统静态定轨方法所获取的TLE数据定轨结果难以进一步提升轨道预报精度。因此,基于单纯形最优搜索算法,本文引入时间变量,将其与其它轨道根数一同解算,实现动态定轨。本文使用8颗卫星的TLE数据和GPS数据开展实验,所得结果与不考虑时间变量的单纯形最优搜索算法的定轨结果相比,轨道预报精度提升了18.85%-70.30%,且误差在S和W方向显著降低,特别是部分卫星在轨道预报1天内的位置真误差降低至0km。Abstract: TLE data provided by the ELSETS space debris catalog database is one of the main sources for publicly obtaining orbital information. Due to the fluctuation in the accuracy of TLE data, it is difficult to further improve the orbital prediction accuracy of TLE data orbit determination results obtained by traditional static orbit determination methods. Therefore, based on the simplex optimal search algorithm, this paper introduces a time variable and solves it together with other orbital elements to achieve dynamic orbit determination. This paper conducts experiments using eight satellite with their TLE data and GPS data. Compared with the orbit determination results of the simplex optimal search algorithm without considering the time variable, the orbital prediction accuracy is improved by 18.85 - 70.3%, and the errors are significantly reduced in S and W directions. Especially for some satellites, the true position error of orbit prediction within one day has been reduced nearly to 0km.
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Key words:
- TLE /
- Simplex Method /
- Orbital Determination /
- Orbital Prediction
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