High Fidelity Environmental Model for Surface Radar Training Navy SBIR FY2013.2 Sol No.: Navy SBIR FY2013.2 Topic No.: N132-109 Topic Title: High Fidelity Environmental Model for Surface Radar Training Proposal No.: N132-109-0870 Firm: Intelligent Automation, Inc. 15400 Calhoun Drive Suite 400 Rockville, Maryland 20855 Contact: Feng Xu Phone: (301) 294-5228 Web Site: www.i-a-i.com Abstract: Modeling of geographic and atmospheric environmental effects in radar training system is important. However, such capability is lacked in existing training system. High fidelity radar simulation tools with environmental effect models are not suitable for real-time training because the electromagnetic simulation cannot be accomplished in real-time. Intelligent Automation, Inc. (IAI) proposes to develop a high-fidelity environmental model tool for real-time multiple surface ship radar training. This tool first builds a database consisting of channel impulse responses (CIR) of multiple radars in typical terrain and natural environment using our in-house developed RF channel model tool off-line. During training, the user specifies the scenario using natural language-style inputs such as geographical location and season. The tool converts these input to quantitative parameters such as topography, land radar reflectivity, predicted atmospheric conditions, sandstorms, and sea states. The tool will generate the CIR corresponding to that scenario through interpolation using data in the CIR database. This interpolation and lookup table mechanism will be run in real-time. Feasibility for achieving the Navy's performance goals will be demonstrated in Phase II and a prototype will be implemented in Phase II. Benefits: The developed environmental tool will enable accurate radar training. It has potential for dual use of an open architecture system that has models to create environmental conditions has many applications that can be used with various radars. This includes potential use in other DOD radar training systems. Radar training is done by the naval aviation community and by other DOD branches such as the Coast Guard, Army, and Marine Corps. In addition, commercial industry has radar-training devices that could use this technology. The algorithms could also be used for various radar system requirement analysis, system development, and testing. It has the potential to save radar developers expense by using a software-based environmental simulator instead of performing testing in a live environment, which is cost prohibitive. Return