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Proceedings Paper

Technical challenges and solutions in merging GIESim and JSAF
Author(s): John H. Fikus; Thomas Parisi; Jon Valente; Robert E. Wassmer
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Paper Abstract

The merger of the GIESim JTIDS simulation with JSAF added tactical communications modeling to JSAF, and posed several challenges that are overviewed along with solutions and lessons learned. Tactical communications play an increasingly critical role in military operations. JSAF is a large multi-forces simulation that is often employed for war-gaming, however JSAF currently does not model tactical communications. Also the merger of the JTIDS/Link-16 capabilities from GIESim with JSAF is a first step toward applying the GIESim rapid communications modeling approach to a large simulation environment. This paper addresses the physical and logical simulation architectures, modifications of HLA interfaces and internal logic, determination of mission goals and scenario development, associated network design, and component integration associated with the GIESim-JSAF merger. Both JSAF and the GIESim JTIDS simulation were modified to allow JSAF to pass a message through the JTIDS simulation. Substantial work was required to make this happen. Perhaps the greatest challenge was that JSAF did not have logic to handle tactical communications at all. Furthermore, JSAF needed to drive platform position updates into the JTIDS simulation so that accurate radio propagation calculations and correct network transmissions would occur. M&S interoperability between JSAF and the JTIDS simulation needed to be demonstrated in a way that tested interoperation and that had a quick impact on an observer. Therefore, an operationally relevant scenario was developed to demonstrate the value of adding communications modeling to JSAF. Current success and future possibilities will be presented.

Paper Details

Date Published: 19 May 2005
PDF: 12 pages
Proc. SPIE 5805, Enabling Technologies for Simulation Science IX, (19 May 2005); doi: 10.1117/12.609735
Show Author Affiliations
John H. Fikus, Prediction Systems, Inc. (United States)
Thomas Parisi, Air Force Research Lab. (United States)
Jon Valente, Air Force Research Lab. (United States)
Robert E. Wassmer, Prediction Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 5805:
Enabling Technologies for Simulation Science IX
Dawn A. Trevisani; Alex F. Sisti, Editor(s)

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