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Proceedings Paper

Quantitative comparison of sensor fusion architectural approaches in an algorithm-level test bed
Author(s): Jean Roy; Eloi Bosse; Nicolas Duclos-Hindie
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Paper Abstract

This paper presents the results of a quantitative comparison of two architectural options in developing a multi-sensor data fusion system. One option is the centralized architecture: a single track file is maintained and updated using raw sensor measurements. The second option is the autonomous sensor fusion architecture: each sensor maintains its own track file. The sensor tracks are then transmitted to a central processor responsible for fusing this data to form a master track file. Various performance trade-offs will typically be required in the selection of the best multi-sensor data fusion architecture since each approach has different benefits and disadvantages. The emphasis for this study is given to measuring the quality of the fused conducted with the CASE_ATTI (concept analysis and simulation environment for automatic target racking and identification) testbed. This testbed provides the algorithm-level test and replacement capability required to conduct this kind of performance study.

Paper Details

Date Published: 31 May 1996
PDF: 12 pages
Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241199
Show Author Affiliations
Jean Roy, Defence Research Establishment Valcartier (Canada)
Eloi Bosse, Defence Research Establishment Valcartier (Canada)
Nicolas Duclos-Hindie, Groupe Informission Inc. (Canada)

Published in SPIE Proceedings Vol. 2759:
Signal and Data Processing of Small Targets 1996
Oliver E. Drummond, Editor(s)

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