Northrop Grumman Amherst Systems recently completed delivery of an IR/UV sensor stimulation and test system (STS) to the U.S. Army Intelligence and Information Warfare Directorate's (I2WD) Communications-Electronics Command (CECOM) Installed Systems Test Facility (ISTF) at Ft. Monmouth, NJ. The STS consists primarily of a PC network controlling two ESL MEON(SIL) IR/UV stimulation units. The STS provides MIL-STD-1553B bus traffic monitoring for the Common Missile Warning System (CMWS) self-protection missile warning system. The sensor was tested in an uninstalled configuration; however, the stimulation system is capable of performing the same tests on an installed sensor suite. This paper will describe the STS architecture (both hardware and software), the technical challenges overcome during the program and the test capabilities of the system.
KEYWORDS: Sensors, Data modeling, Missiles, 3D modeling, Infrared signatures, Computer simulations, Thermal modeling, Infrared sensors, Systems modeling, Simulation of CCA and DLA aggregates
Amherst Systems has previously developed a Real-time IR/EO Scene Simulator (RISS) for use in reactive, hardware-in-the-loop testing of infrared sensor systems. This paper will report on how RISS is currently being used to test and develop a variety of sensor systems, with emphasis on the use of both measured and modeled signature data to create test scenarios. Ongoing efforts to utilize models and data such as DIRSIG, RadTherm, MuSES, TERTEM, and PRA WITMaps will be examined, and their relevance to specific testing requirements will be explored. For example, Amherst Systems has recently completed an effort for a U.S. Government organization to construct a suite of operational scenarios to be used in conjunction with its previously installed RISS in order to stimulate a specific IR/EO sensor in a test environment. These scenarios used both measured and modeled data. This paper will explain how data from several sources were assembled into cohesive scenarios to model real, operational environments and engagements. It will detail the sources for all measured data that were used throughout the scenario development process. It will also explain how readily available, government-furnished models (such as MODTRAN, DISAMS, SPF/SPURC, and BLUEMAX) were used to construct these integrated scenarios, making validation of the scenarios much more feasible.
KEYWORDS: Sensors, Computer simulations, Thermal modeling, Data modeling, Atmospheric modeling, Databases, 3D modeling, Visualization, Control systems, Systems modeling
This paper describes advances in the development of IR/EO scene generation to support the Infrared Sensor Stimulator system (IRSS) which will be used for installed system testing of avionics electronic combat systems. The IRSS will provide a high frame rate, real-time, reactive, hardware-in-the-loop test capability for the stimulation of current and future infrared and ultraviolet based sensor systems. Scene generation in the IRSS is provided by an enhanced version of the Real-time (IR/EO Scene Simulator (RISS) which was previously developed by Comptek Amherst Systems. RISS utilizes the symmetric multiprocessing environment of the Silicon GraphicsR Onyx2TM to support the generation of IR/EO scenes in real-time. It is a generic scene generation system which can be programmed to accurately stimulate a wide variety of sensors. Significant advancements have been made in IRSS capabilities in the past year. This paper will discuss the addition of new simulation techniques which have been added to the system to better support the high resolution, geospecific testing requirements of a new generation of imaging sensors. IRSS now better supports the use of high resolution databases which contain material maps at photo realistic precision. Other developments which will be discussed include extensive improvements to the database and scenario development tools, advancements in the support for multiple synchronized scene generation channels, and new support for sea and ship models.
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