Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning

Space situational awareness (SSA) is becoming increasingly challenging with the proliferation of resident space objects (RSOs), ranging from CubeSats to mega-constellations. Sensors within the United States Space Surveillance Network are tasked to repeatedly detect, characterize, and track these RSO...

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Detalles Bibliográficos
Autores principales: Siew, Peng Mun, Linares, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611899/
https://www.ncbi.nlm.nih.gov/pubmed/36298209
http://dx.doi.org/10.3390/s22207847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611899/
https://www.ncbi.nlm.nih.gov/pubmed/36298209
http://dx.doi.org/10.3390/s22207847

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