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Task allocation strategies for cooperative task planning of multi-autonomous satellite constellation

机译:多自治卫星星座合作任务规划任务分配策略

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摘要

In recent years, the application of imaging satellites has entered a completely new stage, with the new demands such as rapid response to emergency events, observation of large-scale regional targets and multivariate data fusion, the multi-autonomous satellite constellation has been proposed. This paper first designs the structure of multi-autonomous satellite constellation, and a centralized-distributed structure is proposed. This structure could improve the dynamic response capacity of the whole constellation. Then, this paper adds adapted filtering mechanism to single autonomous satellite online scheduling algorithm to enhance its performance. This article also pays more attention on task allocation strategies of the master satellite in constellation, and ten different task allocation strategies based on five dimensions are analyzed by simulation experiments. At last, this paper extracts several characteristic features of the regular observation targets and designs a selector based on support vector machine (SVM). This selector could select an appropriate strategy according to the features of each experiment scenario. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
机译:近年来,成像卫星的应用进入了一个全新的阶段,具有新的要求,如快速响应紧急事件,观察大型区域目标和多变量数据融合,已经提出了多自治卫星星座。本文首先设计了多自主卫星星座的结构,提出了一种集中分布的结构。这种结构可以提高整个星座的动态响应能力。然后,本文将适应的滤波机制添加到单一自主卫星在线调度算法中,以提高其性能。本文还更多地关注星座中主卫星的任务分配策略,通过模拟实验分析了基于五个维度的十个不同任务分配策略。最后,本文提取常规观察目标的若干特征特征,并根据支持向量机(SVM)设计选择器。根据每个实验场景的特征,该选择器可以选择适当的策略。 (c)2018 Cospar。 elsevier有限公司出版。保留所有权利。

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