Title:
Generalized Minimum-Time Follow-up Approaches Applied to Tasking Electro-Optical Sensor Tasking

Thumbnail Image
Author(s)
Murphy, Timothy S.
Holzinger, Marcus J.
Authors
Advisor(s)
Advisor(s)
Editor(s)
Associated Organization(s)
Series
Supplementary to
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.
Sponsor
Date Issued
2017-09
Extent
Resource Type
Text
Resource Subtype
Paper
Rights Statement
Unless otherwise noted, all materials are protected under U.S. Copyright Law and all rights are reserved