&lt;title&gt;Irma 5.0 multisensor signature prediction model&lt;/title&gt;

Wellfare, Michael R.; Vechinski, D.A.; Watson, John; Foster, Joe L.; Edwards, John W.; Richards, Mike; Coker, Jason S.; Coker, Charles F.

doi:10.1117/12.392529

Cited by 3 publications

(4 citation statements)

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“…The passive, AMMW, and ladar channels have had limited validation [6]. Since 2001, Northrop Grumman, Air Combat Systems, has conducted three validation tests on the ladar channel.…”

Section: Ladar Channel Verification and Validationmentioning

confidence: 98%

“…Originally developed by Grumman Aerospace and Analytics Corporation in 1978, the Irma model has gone through many enhancements and upgrades [1,2,3,4,5,6] over the years by several contractors including Grumman Aerospace and CSC/Nichols Research. The development history of Irma is described in more detail in [6]. Irma 5.0 was written in FORTAN and C and runs on several platforms including Windows, SGI, Solaris, and Linux.…”

Section: Irma Overviewmentioning

confidence: 99%

“…An overview for each of the Irma channels is presented below. More in-depth descriptions are contained in [6].…”

Section: Irma Model Descriptionmentioning

confidence: 99%

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Irma 5.1 multisensor signature prediction model

Savage

Coker

Thai

et al. 2005

Targets and Backgrounds XI: Characterization and Representation

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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.

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“…The passive, AMMW, and ladar channels have had limited validation [6]. Since 2001, Northrop Grumman, Air Combat Systems, has conducted three validation tests on the ladar channel.…”

Section: Ladar Channel Verification and Validationmentioning

confidence: 98%

Section: Irma Overviewmentioning

confidence: 99%

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Irma 5.1 multisensor signature prediction model

Savage

Coker

Thai

et al. 2005

Targets and Backgrounds XI: Characterization and Representation

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“…1,2,3 The complexity and fidelity requirements of these systems to support very large field of regard sensors has up until now drastically outpaced the capability of scene generation codes and hardware to produce the required signatures. Current state-of-the-art codes used by hundreds of DoD and contractor facilities include Irma (high resolution semi-active radar (SAR), millimeter wave (MMW), VIS, infrared (IR), and laser radar (LADAR)) for high fidelity off line target and background signatures and CHAMP for real-time VIS-IR scene generation.…”

Section: Need and Technical Rationalementioning

confidence: 99%

Generation of large scale urban environments to support advanced sensor and seeker simulation

et al. 2009

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One of the key aspects for the design of a next generation weapon system is the need to operate in cluttered and complex urban environments. Simulation systems rely on accurate representation of these environments and require automated software tools to construct the underlying 3D geometry and associated spectral and material properties that are then formatted for various objective seeker simulation systems. Under an Air Force Small Business Innovative Research (SBIR) contract, we have developed an automated process to generate 3D urban environments with user defined properties. These environments can be composed from a wide variety of source materials, including vector source data, pre-existing 3D models, and digital elevation models, and rapidly organized into a geo-specific visual simulation database. This intermediate representation can be easily inspected in the visible spectrum for content and organization and interactively queried for accuracy. Once the database contains the required contents, it can then be exported into specific synthetic scene generation runtime formats, preserving the relationship between geometry and material properties. To date an exporter for the Irma simulation system developed and maintained by AFRL/Eglin has been created and a second exporter to Real Time Composite Hardbody and Missile Plume (CHAMP) simulation system for real-time use is currently being developed. This process supports significantly more complex target environments than previous approaches to database generation. In this paper we describe the capabilities for content creation for advanced seeker processing algorithms simulation and sensor stimulation, including the overall database compilation process and sample databases produced and exported for the Irma runtime system. We also discuss the addition of object dynamics and viewer dynamics within the visual simulation into the Irma runtime environment.

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Spectropolarimetric reflectometer

Chenault¹

2002

Opt. Eng

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<title>Irma 5.0 multisensor signature prediction model</title>

Cited by 3 publications

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Irma 5.1 multisensor signature prediction model

Irma 5.1 multisensor signature prediction model

Generation of large scale urban environments to support advanced sensor and seeker simulation

Spectropolarimetric reflectometer

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