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Proceedings Paper

Effectiveness measurements and state estimation simulation for DSAP
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Paper Abstract

For Air Operations Centers, there is a need to provide Commanders and their staff with real-time, up-to-the-second information regarding Red-Force, Blue-Force, and neutral force status and positioning. These updates of the real-time picture provide Command Staff with dynamic situational awareness of their operations while considering current and future Courses of Action (COAs). A key shortfall in current capability is that intelligence, surveillance, and reconnaissance (ISR) sensors, electronic intelligence, and human intelligence only provide a snapshot of the operational world from "observable" inputs. While useful, this information only provides a subset of the entire real-time picture. To provide this "missing" information, techniques are required to estimate the state of Red, Blue, and neutral force assets and resources. One such technique for providing this "state" information is to utilize operationally focused simulation to estimate the unobservable data. RAM Laboratories and the Air Force Research Laboratory's Information Systems Research Branch are developing a Dynamic Situation Assessment and Prediction (DSAP) Software Framework that, in part, utilizes embedded real-time simulation in this manner. This paper examines enhancements made to the DSAP infrastructure's Multiple Replication Framework (MRF) and reviews extensions made to provide estimated state information via calibrated real-time simulation. This paper also provides an overview of the Effectiveness Metrics that can be used to evaluate plan effectiveness with respect to the realtime inputs, simulated plan, and user objectives.

Paper Details

Date Published: 22 May 2006
PDF: 8 pages
Proc. SPIE 6227, Enabling Technologies for Simulation Science X, 62270A (22 May 2006); doi: 10.1117/12.673643
Show Author Affiliations
Robert M. McGraw, RAM Labs., Inc. (United States)
Craig Lammers, RAM Labs., Inc. (United States)
Dawn A. Trevisani, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6227:
Enabling Technologies for Simulation Science X
Dawn A. Trevisani, Editor(s)

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