First-principles mapping of fusion applications into the JDL model

Richard T. Antony; Joseph A. Karakowski

doi:10.1117/12.818499

11 May 2009 First-principles mapping of fusion applications into the JDL model

Richard T. Antony, Joseph A. Karakowski

Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 73360J (2009) https://doi.org/10.1117/12.818499
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Richard T. Antony and Joseph A. Karakowski "First-principles mapping of fusion applications into the JDL model", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360J (11 May 2009); https://doi.org/10.1117/12.818499

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