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Proceedings Paper

Information theoretics for improved tracking and fusion performance
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Paper Abstract

The use of information theoretics within fusion and tracking represents an interesting addition to the problem of assessing optimal track fusion performance. This paper will explore the use of information-theoretics, namely, the use of the Kullback-Leibler as a measure of improving on the track assignment problem.

Paper Details

Date Published: 25 August 2003
PDF: 8 pages
Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); doi: 10.1117/12.498652
Show Author Affiliations
Martin E. Liggins, Veridian Systems (United States)
Mark A. Nebrich, Veridian Systems (United States)
Kuo Chu Chang, George Mason Univ. (United States)

Published in SPIE Proceedings Vol. 5096:
Signal Processing, Sensor Fusion, and Target Recognition XII
Ivan Kadar, Editor(s)

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