| 不同轨道类型LEO卫星轨道拟合及预报精度研究 |
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| 引用本文： | 谭理庆,彭琦,曹阳,杨鑫,唐帅,刘俊.不同轨道类型LEO卫星轨道拟合及预报精度研究[J].全球定位系统,2022,47(2):44-51. |
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| 作者姓名： | 谭理庆 彭琦 曹阳 杨鑫 唐帅 刘俊 |
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| 作者单位： | 重庆两江卫星移动通信有限公司, 重庆 401120 |
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| 摘 要： | 低轨道地球卫星(LEO)的精度直接影响到LEO卫星的应用领域，因此研究合适的模型提高LEO卫星轨道插值/预报精度是一项很有意义且必要的工作. 本文详细研究了滑动切比雪夫多项式、克里金算法在不同类型LEO轨道的拟合、预报精度. 结果表明:采用合适的拟合策略，两种算法均能获得毫米级的插值精度；相较于滑动切比雪夫多项式，克里金算法拟合轨道的空间误差分布更为集中，未随着历元变化出现大幅波动. 克里金算法预报轨道的精度低于滑动切比雪夫多项式；采用克里金算法预报60 s，各颗LEO卫星轨道预报的精度在1~2.5 m；采用滑动切比雪夫多项式预报120 s，各颗LEO卫星可获得优于5 m的轨道精度.
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| 关 键 词： | 低轨道地球卫星(LEO) 滑动切比雪夫多项式 克里金 轨道拟合 轨道预报 |
| 收稿时间： | 2021-08-31 |
Research on orbit fitting and forecasting accuracy of different orbit types’ LEO satellites |
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| Affiliation: | Chongqing Liang jiang Satellite Mobile Communication Co. Ltd., Chongqing 401120, China |
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| Abstract: | The accuracy of low earth orbit (LEO) satellite orbits directly affects the application areas of LEO satellites, so it’s very meaningful and necessary work so as to study appropriate models to improve the fitting/forecasting accuracy of LEO satellite orbit. The fitting/forecasting accuracy of sliding Chebyshev polynomial and Kriging algorithm in different types of LEO orbits were studied in this paper, the results show that: both algorithms can obtain millimeter-level interpolation accuracy with a suitable fitting strategy. Compared to the sliding Chebyshev fitting algorithm, the spatial error distribution of the kriging algorithm fitting orbit is more concentrated, and it does not fluctuate sharply with the change of epoch. The prediction accuracy of the Kriging algorithm is lower than the sliding Chebyshev polynomial. When the Kriging algorithm is used to forecast 60 seconds, the forecasting accuracy can reach 1 to 2.5 m. While the sliding Chebyshev polynomial’s forecasting accuracy of 120 seconds is better than 5 m in each LEO satellite. |
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