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Large Constellations of Small Satellites: A Survey of Near Future Challenges and Missions
by
Modenini, Dario
, Tortora, Paolo
, Curzi, Giacomo
in
Artificial intelligence
/ Automation
/ Communication
/ Infrastructure
/ Internet of Things
/ large constellations
/ Machine learning
/ Miniaturization
/ operations
/ regulation
/ Resource management
/ Satellite constellations
/ Satellites
/ Small satellites
/ Spacecraft
/ traffic
/ Trends
2020
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Large Constellations of Small Satellites: A Survey of Near Future Challenges and Missions
by
Modenini, Dario
, Tortora, Paolo
, Curzi, Giacomo
in
Artificial intelligence
/ Automation
/ Communication
/ Infrastructure
/ Internet of Things
/ large constellations
/ Machine learning
/ Miniaturization
/ operations
/ regulation
/ Resource management
/ Satellite constellations
/ Satellites
/ Small satellites
/ Spacecraft
/ traffic
/ Trends
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Large Constellations of Small Satellites: A Survey of Near Future Challenges and Missions
by
Modenini, Dario
, Tortora, Paolo
, Curzi, Giacomo
in
Artificial intelligence
/ Automation
/ Communication
/ Infrastructure
/ Internet of Things
/ large constellations
/ Machine learning
/ Miniaturization
/ operations
/ regulation
/ Resource management
/ Satellite constellations
/ Satellites
/ Small satellites
/ Spacecraft
/ traffic
/ Trends
2020
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Large Constellations of Small Satellites: A Survey of Near Future Challenges and Missions
Journal Article
Large Constellations of Small Satellites: A Survey of Near Future Challenges and Missions
2020
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Overview
Constellations of satellites are being proposed in large numbers; most of them are expected to be in orbit within the next decade. They will provide communication to unserved and underserved communities, enable global monitoring of Earth and enhance space observation. Mostly enabled by technology miniaturization, satellite constellations require a coordinated effort to face the technological limits in spacecraft operations and space traffic. At the moment in fact, no cost-effective infrastructure is available to withstand coordinated flight of large fleets of satellites. In order for large constellations to be sustainable, there is the need to efficiently integrate and use them in the current space framework. This review paper provides an overview of the available experience in constellation operations and statistical trends about upcoming constellations at the moment of writing. It highlights also the tools most often proposed in the analyzed works to overcome constellation management issues, such as applications of machine learning/artificial intelligence and resource/infrastructure sharing. As such, it is intended to be a useful resource for both identifying emerging trends in satellite constellations, and enabling technologies still requiring substantial development efforts.
Publisher
MDPI AG
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