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The Irma synthetic signature prediction code is being developed to facilitate the research and development of multisensor systems. Irma was one of the first high resolution Infrared (IR) target and background signature models to be developed for tactical weapon application. Originally developed in 1980 by the Munitions Directorate of the Air Force Research Laboratory (AFRL/MN), the Irma model was used exclusively to generate IR scenes. In 1988, a number of significant upgrades to Irma were initiated including the addition of a laser (or active) channel. This twochannel version was released to the user community in 1990. In 1992, an improved scene generator was incorporated into the Irma model, which supported correlated frame-to-frame imagery. A passive IR/millimeter wave (MMW) code was completed in 1994. This served as the cornerstone for the development of the co-registered active/passive IR/MMW model, Irma 4.0. In 2000, Irma version 5.0 was released which encompassed several upgrades to both the physical models and software. Circular polarization was added to the passive channel and the doppler capability was added to the active MMW channel. In 2002, the multibounce technique was added to the Irma passive channel. In the ladar channel, a user-friendly Ladar Sensor Assistant (LSA) was incorporated which provides capability and flexibility for sensor modeling. Irma 5.0 runs on several platforms including Windows, Linux, Solaris, and SGI Irix. Since 2000, additional capabilities and enhancements have been added to the ladar channel including polarization and speckle effect. Work is still ongoing to add time-jittering model to the ladar channel. A new user interface has been introduced to aid users in the mechanism of scene generation and running the Irma code. The user interface provides a canvas where a user can add and remove objects using mouse clicks to construct a scene. The scene can then be visualized to find the desired sensor position. The synthetic ladar signatures have been validated twice and underwent a third validation test near the end of 04. These capabilities will be integrated into the next release, Irma 5.1, scheduled for completion in the summer of FY05. Irma is currently being used to support a number of civilian and military applications. The Irma user base includes over 130 agencies within the Air Force, Army, Navy, DARPA, NASA, Department of Transportation, academia, and industry. The purpose of this paper is to report the progress of the Irma 5.1 development effort.

Development and generation of high-fidelity JR scenes to support testing requirements at the Kinetic Kill VehicleHardware-in-the-Loop Simulator (KHILS) facility at Eglin AFB, Florida has been the mission for the Air Force Research Laboratory's (AFRL) scene generation team throughout the past ten years. During that time scene generation efforts have supported operational scenarios ranging from surveillance through terminal homing. Recent programs have required the development of JR target and background models to support the testing needs of a high-speed fuze. Development of JR models and techniques to support high-speed fuze applications required advancing the state-of-the-art in JR scene generation. This effort required the development of several target models not available from other sources. In addition, due to the unusual proximity fuze seeker configuration that utilizes a wide angle lens to encompass a full 360 degree fieldof-view (FOV) and very fast frame rate requirements, normal scene generation techniques were not adequate. Hundreds of scenarios consisting of hundreds of image frames were needed to develop the fuzing algorithms. This scene generation requirement necessitated that realistic scene sequences be produced in minutes rather than hours. This paper discusses the JR model development path to generate JR scene sequences to support the algorithm development for this fuzing program. The discussion describes the process and unique modeling techniques that were implemented to build foreign target models that include fighter and bomber aircraft, low-flying cruise missiles, and helicopters. Jmplementation of appropriate rendering techniques to support the generation of backgrounds that include atmospherics, terrain, and sea for realistic target engagements are also discussed. Finally, a description of the process utilized in merging JR model and commercial hardware solutions to satisfy the JR scene generation requirements for this program is presented.

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