One major struggle for modeling and simulation (M and S) over the past decades has been the development of individual models in isolation. Typically, models are developed for a single application area where they tend to become domain specific as the complexity of a single model grows. When a future application requires interaction of multiple M and S approaches that have developed independently, it is difficult, if not impossible, for the models to integrate into a common environment. Furthering this difficulty is that the models have likely developed disparate concepts of the world in which they operate. A prime example of this effect is the development of infrared (IR) and radio frequency (RF) models, which have different large scale phenomenology and have, therefore, developed as separate M and S domains. Attempting to combine the two modalities through integration of existing M and S tools specific to each application domain has historically proven nigh impossible. These factors led to the development of the Dynamic Model Integration and Simulation Engine (DMISE) which provides a flexible and extensible framework for integration of different models into a common simulation by defining the interfaces for the simulation components. For multi-spectral IR and RF simulations, the General High-Fidelity Omni-Spectral Toolbox (GHOST) has been built on the DMISE framework to allow for integration of models across the electromagnetic spectrum. This paper presents GHOST and the status of the current effort to provide a true multi-spectral, multi-sensor, and multi-actor M and S environment through simulation of scenarios with combined IR and RF sensors operating in a common environment.
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