无人机辅助小卫星星座区域实时全覆盖算法

Peng Yuan, Min Su, Yue Li, Qinyu Zhang
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引用次数: 3

摘要

近年来,小卫星在遥感和通信支持等众多军事和民用应用中发挥着重要作用,其覆盖性能与之相适应。然而,受轨道固定和星载设备的限制,重访周期长和不希望出现的盲区成为及时、全面覆盖的瓶颈,特别是对于大范围区域。为此,本文对由星座小卫星和编队无人机组成的覆盖增强系统进行了论证。在覆盖系统的基础上,设计区域分解与协同机制算法,将覆盖任务分配给合适的路过卫星和飞行无人机。提出了无人机辅助系统卫星星座设计准则,实现了更高的全覆盖比。实验结果验证了所提出的覆盖系统对覆盖性能的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timely and Full Coverage Algorithm for Region Area with UAVs-assisted Small Satellite Constellation
Recently, small satellites have been playing important roles in numerous military and civil applications, such as remote sensing and communication support, befitting from the coverage performance. However, restricted by the fixed orbits and on-board equipments, the long revisiting period and undesired blind stripe become the bottleneck for timely and full coverage, especially for the wide-range region area. Therefore, in this paper, the coverage-enhanced system comprising small satellites in constellation and Unmanned Aerial Vehicles (UAV) in formation is demonstrated. Based on the coverage system, the region decomposition and cooperative mechanism algorithm is designed to allocate coverage task to appropriate passing satellites and flying UAVs. Moreover, the design criterion for the satellite constellation in the UAV s-assisted system is proposed, achieving higher full-coverage ratio. The experimental results verify the enhancement of coverage performance for the proposed coverage system.
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