31 May 1996 Quantitative comparison of sensor fusion architectural approaches in an algorithm-level test bed
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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.
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Jean Roy, Jean Roy, Eloi Bosse, Eloi Bosse, Nicolas Duclos-Hindie, 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); doi: 10.1117/12.241199; https://doi.org/10.1117/12.241199
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