Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering
Daniel Guggenheim School of Aerospace Engineering
2017-02
,
Murphy, Timothy S.
,
Luu, K. Kim
,
Sabol, Chris
,
Holzinger, Marcus J..
This work proposes a methodology for tasking of electro-optical sensors to search
an area of state space for a particular object. This work enables current space situational
awareness programs to more efficiently follow-up on an unknown object.
In particular, this work looks at searching for an unknown space object with prior
knowledge in the form of a set, which can be defined via an uncorrelated track.
The follow-up can occur from a different location at a different time, which often
requires searching a large region of the sky. This work analyzes the divergence of
a search region to inform a time optimal search method. Simulation work is included
to explore the effects of sensor geometry, initial detection uncertainty, and
handoff delay time on total time and feasibility of follow-up.