Mixed-resolution modeling of perceptions in the joint warfare system

David McNamara

doi:10.1117/12.440035

19 September 2001 Mixed-resolution modeling of perceptions in the joint warfare system

David McNamara

Proceedings Volume 4367, Enabling Technology for Simulation Science V; (2001) https://doi.org/10.1117/12.440035
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Faithfully modeling high-level situation awareness is an important aspect of mixed resolution modeling in military simulations. Our work has focused on developing techniques for identifying and tracking aggregate unit perceptions, composed of several sub-components, of land-forces simulated within the Joint Warfare System (JWARS). One of the key features of JWARS is that it separates perception from ground-truth: the information that is provided to one simulated side is derived only from reports generated by the sensor systems. In JWARS, the sensors provide high-resolution information on individual battle-space-entities, but little information on how groups of these sub-units are organized into larger, aggregate units. Our approach utilizes a wide range of distinct computational approaches including: Bayesian statistical analysis, group target tracking, and spatial analysis/clustering. Each of these approaches, within the overarching model, incorporates known doctrinal information on the force-structure and tactics of the simulated force. This aggregation model provides a mechanism for integrating the numerous high-resolution sensor reports in to a consistent lower-resolution description of the simulated land forces in the battlespace.

Citation Download Citation

David McNamara "Mixed-resolution modeling of perceptions in the joint warfare system", Proc. SPIE 4367, Enabling Technology for Simulation Science V, (19 September 2001); https://doi.org/10.1117/12.440035

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available