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Proceedings Paper

Target maneuver detection using image features
Author(s): J. Brent Romine; Edward W. Kamen
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Paper Abstract

There are a number of algorithms currently available for tracking highly maneuverable targets using position measurements. A comparison of some of these algorithms using benchmark trajectories is given in a session of the 1994 American Control Conference. Dramatic increases in tracking performance (lower loss of lock rates, larger interdwell intervals, and more accurate state estimates) will likely result from novel uses of additional non-traditional sensor information. In particular, an imaging sensor provides information which can be used to increase tracking performance. In this paper, we use an imaging sensor to detect target maneuvers, which is based on monitoring changes in image features. By accurately and quickly detecting the onset and termination of maneuvers, we are able to reconfigure the tracking filter in order to increase performance. Simulations are provided to show how augmenting a traditional radar only system with an imaging sensor to detect maneuvers can improve tracking performance.

Paper Details

Date Published: 1 September 1995
PDF: 15 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217716
Show Author Affiliations
J. Brent Romine, Georgia Institute of Technology (United States)
Edward W. Kamen, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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