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Simulation Analysis of Photometric Data for Attitude Estimation of Unresolved Space Objects

机译:未解析空间物体姿态估计的光度数据模拟分析

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The attitude information acquisition of unresolved space objects, such as micro-nano satellites and GEO objects under the way of ground-based optical observations, is a challenge to space surveillance. In this paper, a useful method is proposed to estimate the SO attitude state according to the simulation analysis of photometric data in different attitude states. The object shape model was established and the parameters of the BRDF model were determined, then the space object photometric model was established. Furthermore, the photometric data of space objects in different states are analyzed by simulation and the regular characteristics of the photometric curves are summarized. The simulation results show that the photometric characteristics are useful for attitude inversion in a unique way. Thus, a new idea is provided for space object identification in this paper.
机译:通过地面光学观测的方式获取未解决的空间物体(如微纳卫星和GEO物体)的姿态信息,这对空间监视构成了挑战。本文通过对不同姿态状态下光度数据的仿真分析,提出了一种有用的估计SO姿态状态的方法。建立物体形状模型,确定BRDF模型的参数,然后建立空间物体光度模型。通过仿真分析了空间物体在不同状态下的光度数据,并总结了光度曲线的规律性。仿真结果表明,光度学特征以独特的方式对于姿态反转很有用。因此,本文为空间物体识别提供了一种新思路。

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