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Proceedings Paper

Irma 5.2 multi-sensor signature prediction model
Author(s): James Savage; Charles Coker; Bea Thai; Omar Aboutalib; John Pau
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Paper Abstract

The Irma synthetic signature prediction code is being developed by the Munitions Directorate of the Air Force Research Laboratory (AFRL/RW) to facilitate the research and development of multi-sensor systems. There are over 130 users within the Department of Defense, NASA, Department of Transportation, academia, and industry. Irma began as a high-resolution, physics-based Infrared (IR) target and background signature model for tactical weapon applications and has grown to include: a laser (or active) channel (1990), improved scene generator to support correlated frame-to-frame imagery (1992), and passive IR/millimeter wave (MMW) channel for a co-registered active/passive IR/MMW model (1994). Irma version 5.0 was released in 2000 and encompassed several upgrades to both the physical models and software; host support was expanded to Windows, Linux, Solaris, and SGI Irix platforms. In 2005, version 5.1 was released after extensive verification and validation of an upgraded and reengineered ladar channel. The reengineering effort then shifted focus to the Irma passive channel. Field measurements for the validation effort include both polarized and unpolarized data collection. Irma 5.2 was released in 2007 with a reengineered passive channel. This paper summarizes the capabilities of Irma and the progress toward Irma 5.3, which includes a reengineered radar channel.

Paper Details

Date Published: 11 April 2008
PDF: 9 pages
Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 69650A (11 April 2008); doi: 10.1117/12.778000
Show Author Affiliations
James Savage, Air Force Research Lab. (United States)
Charles Coker, Air Force Research Lab. (United States)
Bea Thai, Northrop Grumman Corp. (United States)
Omar Aboutalib, Northrop Grumman Corp. (United States)
John Pau, Northrop Grumman Corp. (United States)

Published in SPIE Proceedings Vol. 6965:
Modeling and Simulation for Military Operations III
Dawn A. Trevisani, Editor(s)

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