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Proceedings Paper

Multiple sensor fusion for long-range surveillance: design and performance issues
Author(s): Graeme Jones
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Paper Abstract

This paper provides a description and detailed review of a multiple hypothesis tracking system, which handles data from two radars, and a number of other sources. An efficient method for processing detections from two (time-offset) radars, and integrating them in the multiple hypothesis framework is described. The implications of such a methodology on the tracking filter also are discussed. The paper then explains the algorithm employed for fusion of automatic dependent surveillance reports into the system, and concludes with a demonstration of some sample results.

Paper Details

Date Published: 16 June 1997
PDF: 9 pages
Proc. SPIE 3067, Sensor Fusion: Architectures, Algorithms, and Applications, (16 June 1997); doi: 10.1117/12.276125
Show Author Affiliations
Graeme Jones, Raytheon Canada Ltd. (Canada)

Published in SPIE Proceedings Vol. 3067:
Sensor Fusion: Architectures, Algorithms, and Applications
Belur V. Dasarathy, Editor(s)

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