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Proceedings Paper

Architecture for an integrated real-time air combat and sensor network simulation
Author(s): Evans A. Criswell; John Rushing; Hong Lin; Sara Graves
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Paper Abstract

An architecture for an integrated air combat and sensor network simulation is presented. The architecture integrates two components: a parallel real-time sensor fusion and target tracking simulation, and an air combat simulation. By integrating these two simulations, it becomes possible to experiment with scenarios in which one or both sides in a battle have very large numbers of primitive passive sensors, and to assess the likely effects of those sensors on the outcome of the battle. Modern Air Power is a real-time theater-level air combat simulation that is currently being used as a part of the USAF Air and Space Basic Course (ASBC). The simulation includes a variety of scenarios from the Vietnam war to the present day, and also includes several hypothetical future scenarios. Modern Air Power includes a scenario editor, an order of battle editor, and full AI customization features that make it possible to quickly construct scenarios for any conflict of interest. The scenario editor makes it possible to place a wide variety of sensors including both high fidelity sensors such as radars, and primitive passive sensors that provide only very limited information. The parallel real-time sensor network simulation is capable of handling very large numbers of sensors on a computing cluster of modest size. It can fuse information provided by disparate sensors to detect and track targets, and produce target tracks.

Paper Details

Date Published: 10 May 2007
PDF: 9 pages
Proc. SPIE 6564, Modeling and Simulation for Military Operations II, 65640E (10 May 2007); doi: 10.1117/12.719593
Show Author Affiliations
Evans A. Criswell, The Univ. of Alabama in Huntsville (United States)
John Rushing, The Univ. of Alabama in Huntsville (United States)
Hong Lin, The Univ. of Alabama in Huntsville (United States)
Sara Graves, The Univ. of Alabama in Huntsville (United States)


Published in SPIE Proceedings Vol. 6564:
Modeling and Simulation for Military Operations II
Kevin Schum; Dawn A. Trevisani, Editor(s)

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