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Proceedings Paper

Data integration (fusion) tree paradigm
Author(s): Christopher L. Bowman
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Paper Abstract

Data integration (fusion) trees provide a top-down functional partitioning of the level 1 data fusion process. Since this process has exponential growth in complexity the fusion tree is selected to balance system performance with cost. The fusion tree defines the order in which the data is to be integrated. The data integration is specified at each fusion node to include common referencing, data association, and state estimation. The breadth of application of this paradigm is described herein.

Paper Details

Date Published: 25 August 1992
PDF: 10 pages
Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); doi: 10.1117/12.139385
Show Author Affiliations
Christopher L. Bowman, Ball Aerospace (United States)

Published in SPIE Proceedings Vol. 1698:
Signal and Data Processing of Small Targets 1992
Oliver E. Drummond, Editor(s)

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