Quantitative comparison of sensor fusion architectural approaches in an algorithm-level test bed

Jean Roy; Eloi Bosse; Nicolas Duclos-Hindie

doi:10.1117/12.241199

31 May 1996 Quantitative comparison of sensor fusion architectural approaches in an algorithm-level test bed

Jean Roy, Eloi Bosse, Nicolas Duclos-Hindie

Proceedings Volume 2759, Signal and Data Processing of Small Targets 1996; (1996) https://doi.org/10.1117/12.241199
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Jean Roy, Eloi Bosse, and Nicolas Duclos-Hindie "Quantitative comparison of sensor fusion architectural approaches in an algorithm-level test bed", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241199

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