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OBJECTIVE: Improve and enable advanced multi-platform data fusion through development of Open Architecture applications and integration techniques.

FINDINGS: It was possible to construct a data model (ontology) that served broad C4ISR requirements and Combat System across Air, Surface, Land, and Subsurface domains.

This project was for an open architecture that would enable advanced Data Fusion (DF) algorithms interoperating synergistically across systems aboard Navy ships, submarines, and aircraft in both the Combat System tactical and C4ISR Operational levels of war.  The goal of this architecture was to enable more extensive data fusion such as non-kinematic level 1 fusion, level 2 and 3 complex assessments, broader scope of Situation Awareness and Battle Management information, and level 4 adaptation. Goals were higher quality data fusion through enforced integrity of integrated data responsive to an open ontology and through the ability for multiple kinds of fusion algorithms to interoperate autonomously yet synergistically.

NGFA is an ontology-based fusion architecture that enables fusion agents to operate in independent, yet coordinated, manners. For the proof-of-concept demonstrations, the NGFA ontology was instantiated as synchonized relational database and object class overlays and tested with: (1) Kalman tracking filters, (2) the Jonker-Volgenant-Castanon (JVC)[1] association and assignment algorithm, and, (3) a Bayes Net for ESM/ELINT classification and identification. 

After the successful proof of concept, Silver Bullet developed a “Common Data Model” (CDM) that was the centerpiece for a large team experimenting with futuristic track data exchange across diverse multiple platforms and domains (Air, Surface, Subsurface, and C4ISR).  Silver Bullet led the development of Common Data Adapters (CDA) across the teams that interfaced the CDM with the existing AEGIS, SSDS, BYG-1, SQQ-89, E-2D, MH-60R, and C4ISR GCCS-M WebCOP and Composable FORCEnet systems in NAVSEA, NAVAIR, and SPAWAR laboratories across the U.S.  The result was successful and led to the development of the Track Server, now operational on all AEGIS (CG-47 and DDG-51) and SSDS (CVN, LHD/LHA, LPD, LSD) ships. 

[1] Donald B. Malkoff, "Evaluation of the Jonker-Volgenant-Castanon (JVC) assignment algorithm for track association," Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); https://doi.org/10.1117/12.280801



 



[1] Donald B. Malkoff, "Evaluation of the Jonker-Volgenant-Castanon (JVC) assignment algorithm for track association," Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); https://doi.org/10.1117/12.280801