Evidential Reasoning Applied to Single-Object Loss-of-Custody Scenarios for Telescope Tasking

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AAS-16-482.pdf (2.58 MB)
Author(s)
Jaunzemis, Andris D.
Holzinger, Marcus J.
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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Research Publications
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Permanent Link
https://hdl.handle.net/1853/74834
Abstract
Evidential reasoning and modern data fusion models are applied to the single object loss-of-custody scenario in ground-based tracking. Upon a missed observation, the cause of non-detection must be quickly understood to improve follow-up decision-making. Space domain awareness (SDA) sensors, including a brightness sensor and an All-Sky camera with an optical-flow-based cloud detection algorithm, are conditioned as Dempster-Shafer experts and used to assess the cause of a non-detection. Telescope re-tasking is also approached using Dempster- Shafer theory by planning the next observation to minimize an estimated lack of- information. Results from real-world operational sensors show the algorithm's ability to adjust to changing observation conditions and re-task the primary electrooptical sensor accordingly.
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Date
2016-02
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Text
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Paper
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