Data integration (fusion) tree paradigm
Christopher L. Bowman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
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.