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ATMOSPHERIC DENSITY CORRECTION USING TWO LINE ELEMENT SETS AS THE OBSERVATION DATA

机译:使用两个线元素集作为观察数据的大气密度校正

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Corrections to the GOST Atmosphere Density Model are derived from the Two Line Element (TLE) set data. The density correction includes a bias term and a term that is linear with the altitude. Density corrections are constructed on a one day grid. The input to the construction process is the daily TLE sets for between 300 to 500 drag-perturbed space objects and the observed solar flux and the geomagnetic data. Each of the TLE is converted to a 'noisy' single-averaged element set by adding the long period perturbations. Then several 'noisy' single-averaged element sets are least-squares fit with the USM semianalytical satellite theory with the GOST density model. This results in a smoothed USM element set and associated ballistic factor. The density corrections are generated from the smoothed ballistic factors resulting from the secondary data processing. The secondary data processing is repeated with the corrected GOST density model. The fit and predict results with the uncorrected and corrected density models are compared. The process is demonstrated over a 10-month interval from April 2002 through January 2003. The ballistic factor for the Starshine 3 spherical satellite with the iterated secondary processing closely matches the theoretical value.
机译:对GOST气氛密度模型的校正来自两个线元素(TLE)设置数据。密度校正包括偏置术语和与高度线性的术语。密度校正在一天的网格上构建。施工过程的输入是每日TLE设置为300至500次拖动空间对象和观察到的太阳能通量和地磁数据。每个TLE通过添加长期扰动来转换为“嘈杂”的单平均元素集。然后,几个“嘈杂”的单平均元素集是与USM半角质卫星理论的最小二乘,具有GOST密度模型。这导致平滑的USM元素集和相关的弹道因子。密度校正由由次级数据处理产生的平滑的弹道因子产生。用校正的GOST密度模型重复辅助数据处理。比较了对未校正和校正密度模型的拟合和预测结果。该过程于2002年4月至2003年1月在2002年4月至2003年4月的时间内进行了演示。紫罗兰3个球面卫星的弹道因素,具有迭代二次处理的理论值与理论值紧密匹配。

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