TLE:可以绘制给定卫星的TLE并训练线性回归模型以预测未来卫星的状态向量的Python脚本-源码

上传者: 42160398 | 上传时间: 2021-09-07 15:03:35 | 文件大小: 2.33MB | 文件类型: ZIP
两线元素预测器 作者:tanh仁杰 日期:2018年5月11日 [1]是一种广泛用于跟踪绕地球轨道飞行的物体的数据格式。 在TLE中编码的是6维状态向量, [2]阻力项,平均运动的一阶和二阶导数以及对象的其他杂项。 存在各种已建立的传播模型,例如SGP,SGP4,SDP4,SGP8和SDP8,这些模型用于预测卫星的未来状态向量。 但是,由于TLE固有的不确定性,该错误也会随着时间传播。 例如,从 [3]下载的典型TLE,动量矢量分量Px,Py,Pz平均可以具有+ -10km / h的不确定性。 一天之后,不确定性将为+ -240 km / h,这是不理想的。 通常,由这种传播模型产生的状态向量是不准确的,并且在一天的模拟之后无法使用。 必须通过获取新的TLE来刷新它们。 由于这种不确定性,有很多哭狼案。 Celestrak借助其称为“ (SOCRATES)的平台,免费提供对卫星有效

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