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Proceedings Paper

First-principles mapping of fusion applications into the JDL model
Author(s): Richard T. Antony; Joseph A. Karakowski
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Paper Abstract

The paper presents a formal approach for mapping from an entity-relationship model of a selected application domain to the functional components of the JDL fusion model. The resultant functional decomposition supports both traditional sensor, as well as human-generated text input. To demonstrate the generality of the mapping, examples are offered for three distinct application domains: (1) Intelligence Fusion, (2) Aircraft Collision Avoidance, and (3) Robotic Control. The first-principle's based approach begins by viewing fusion as the composition of similar and dissimilar entities. Next, the fusion triple (entity, location, time) is defined where entities can be either physical or non-physical. Coupling the fusion triple with this generalized view of fusion leads to the identification of eight base-level fusion services that serve as the building blocks of individual composition products.

Paper Details

Date Published: 11 May 2009
PDF: 10 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360J (11 May 2009); doi: 10.1117/12.818499
Show Author Affiliations
Richard T. Antony, SAIC (United States)
Joseph A. Karakowski, U.S. Army RDEC (United States)

Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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