Enabling Direct Feedback Between Initial Orbit Determination and Sensor Data Processing for Detection and Tracking of Space Objects

Author(s)
Sease, Brad
Murphy, Timothy S.
Flewelling, Brien R.
Holzinger, Marcus J.
Black, Jonathan
Advisor(s)
Editor(s)
Associated Organization(s)
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
Series
Supplementary to:
Abstract
This paper presents an automatic RSO detection and tracking scheme operating at the optical sensor system level. The software presented is a pipeline for processing ground or space-based imagery built from several sub-algorithms which processes raw or calibrated imagery, detects and discriminates non-star objects, and associates observations over time. An orbit determination routine uses an admissible region to start off an unscented particle filter. This preliminary orbit estimate allows prediction of the appearance of the object in the next frame. A matched filter uses this imagery to provide feedback to the initial detection and tracking process.
Sponsor
Date
2015-04
Extent
Resource Type
Text
Resource Subtype
Paper
Rights Statement
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