An LEO Constellation Early Warning System Decision-Making Method Based on Hierarchical Reinforcement Learning

The cooperative positioning problem of hypersonic vehicles regarding LEO constellations is the focus of this research study on space-based early warning systems. A hypersonic vehicle is highly maneuverable, and its trajectory is uncertain. New challenges are posed for the cooperative positioning cap...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 4; S. 2225
Hauptverfasser:	Cheng, Yu, Wei, Cheng, Sun, Shengxin, You, Bindi, Zhao, Yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 16.02.2023 MDPI
Schlagworte:	Algorithms Artificial intelligence Assignment problem Climbing Collaboration Decision making Deep learning Equipment and supplies hierarchical policy hypersonic vehicles Information sharing Integer programming intelligent decision-making algorithm LEO constellation early warning system Mathematical optimization Methods Motor vehicles multi-agent proximal policy optimization Neural networks Optimization algorithms Resource allocation Satellite communications Scheduling Sensors United States > US intelligent decision-making algorithm hypersonic vehicles hierarchical policy LEO constellation early warning system multi-agent proximal policy optimization
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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