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Proceedings Paper

Tracking of space objects using massively parallel processing
Author(s): Richard Marsh; Jack G. Rudd; Susan G. Thomas
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Paper Abstract

The space track catalog of satellites in orbit is generally maintained using analytic methods. New technology developments in the area of parallel processing provide the capability to apply more exact methods to determine and maintain the ephemerides of a larger number of space objects more precisely. Space object tracking accuracy is becoming increasingly important in space programs such as the Space Station, where the collision hazard is critical, and for military application requiring precise positioning of satellites. Affordable massively parallel processing architectures will soon be available to address this problem. We expect that before long the number of processing elements in a single affordable box will approach or exceed the number of satellites in orbit. In this paper we consider algorithms and architectures for processing a large number of space objects in a parallel sense. These improvements will enable the tracking of many small objects with precision and will improve the confidence with which collision hazards can be assessed. In addition, as sensor capabilities are improved through technology upgrades, the accuracy of these computational methods will continue to exceed the precision of the measurements.

Paper Details

Date Published: 22 October 1993
PDF: 8 pages
Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157771
Show Author Affiliations
Richard Marsh, IBM Federal Systems Co. (United Kingdom)
Jack G. Rudd, IBM Federal Systems Co. (United States)
Susan G. Thomas, IBM Federal Systems Co. (United States)

Published in SPIE Proceedings Vol. 1954:
Signal and Data Processing of Small Targets 1993
Oliver E. Drummond, Editor(s)

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