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A hierarchical approach for the selection of optical ground stations maximizing the data transfer from low-earth observation satellites

机译:选择光学地面站的分层方法,可最大程度地提高来自低地球观测卫星的数据传输

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For space industries, free-space optical communications are becoming a mature technology, but the impact of their use to download observations from spatial imagery systems has still to be evaluated. Unlike current radio-frequency technology, freespace optical communications are strongly impacted by weather conditions, and most notably by clouds. In order to cope with the later, it is necessary to achieve ground station diversity, i.e. having a network of optical ground stations able to receive data from satellites. In this paper, we aim to find a subset of a given number of ground stations maximizing the amount of data that can be downloaded from a low-earth orbiting satellite to the Earth during its missions. We present a Mixed Integer Linear Program model and a hierarchical method based on an exhaustive enumeration of the sets of stations and on a dynamic programming algorithm to solve it. The efficiency of this method is evaluated on several instances based on real ground station networks and on cloud cover throughout the last twenty years.
机译:对于太空工业来说,自由空间光通信正在成为一种成熟的技术,但是使用它们从空间影像系统下载观测结果的影响仍有待评估。与当前的射频技术不同,自由空间光通信受到天气条件的强烈影响,最显着的是受到云的影响。为了应付后一种情况,必须实现地面站的分集,即具有能够从卫星接收数据的光学地面站的网络。在本文中,我们的目标是找到给定数量的地面站的子集,以最大程度地减少在低空轨道卫星执行任务期间可以从其下载到地球的数据量。我们基于站点集的穷举枚举和基于动态规划算法的解决方案,提出了一种混合整数线性规划模型和一种分层方法。在过去的20年中,基于实际的地面站网络和基于云量的覆盖范围,对这种方法的效率进行了多次评估。

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