Generalized Minimum-Time Follow-up Approaches Applied to Tasking Electro-Optical Sensor Tasking
Author(s)
Murphy, Timothy S.
Holzinger, Marcus J.
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Abstract
This work proposes a methodology for tasking of sensors to search an area of state space for a particular
object, group of objects, or class of objects. This work creates a general unified mathematical
framework for analyzing reacquisition, search, scheduling, and custody operations. In particular,
this work looks at searching for unknown space object(s) with prior knowledge in the form of a set,
which can be defined via an uncorrelated track, region of state space, or a variety of other methods.
The follow-up tasking can occur from a variable location and time, which often requires searching
a large region of the sky. This work analyzes the area of a search region over time to inform a time
optimal search method. Simulation work looks at analyzing search regions relative to a particular
sensor, and testing a tasking algorithm to search through the region. The tasking algorithm is also
validated on a reacquisition problem with a telescope system at Georgia Tech.
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Date
2017-09
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