Data integration (fusion) tree paradigm

Christopher L. Bowman

doi:10.1117/12.139385

25 August 1992 Data integration (fusion) tree paradigm

Christopher L. Bowman

Proceedings Volume 1698, Signal and Data Processing of Small Targets 1992; (1992) https://doi.org/10.1117/12.139385
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Christopher L. Bowman "Data integration (fusion) tree paradigm", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139385

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