用SGP4模型和卡尔曼滤波实现空间碎片轨道预报

文章将扩展卡尔曼滤波算法成功应用于求空间碎片的双行元初值及其轨道预报问题。首先推导出扩展的卡尔曼滤波求双行元的计算公式；然后针对地面观测站对空间碎片的监测进行了应用研究,编制了相应的计算程序并进行了数学仿真。结果表明该算法可以较准确地得到监测目标的双行元初值,从而可实现中长期轨道预报。

A KALMAN FILTER METHOD FOR SPACE DEBRIS ORBIT PREDICTION USING SGP4 MODEL

Two Line Elements (TLE) is widely used for the orbit determination of the increasing number of the space debris In order to build a database of space debris,a new TLE that is independent of NORAD is required.A Kalman filter method is studied in this paper to generate the TLE.An application of monitoring space debris at the ground station is researched and the relative program is introduced.Simulation results confirm the effectiveness of the algorithm.