A modeling and simulation framework, exclusively for sensor-fuzed munitions, has been developed to assess whole system and sub-system performance with respect to various terrains, meteorological conditions, target types, and weapon-target engagement dynamics. The framework supports simulation of complex terrain and target geometries and thermal signatures, lethal search, and target acquisition, engagement, and lethal effects. Most importantly, the framework enables a rapid prototyping and developmental environment by providing strategic simulation breakpoints for recycling data and hot-swapping sub-system models. This unique modeling framework was made possible by identifying and forging together existing methodologies and models from multiple different disciplines, programming languages, and levels of fidelity. To date, the framework and data products, to be presented, continue to be critical for answering sensor-fuzed munition system performance questions across multiple US ARMY programs. Regular data products include kill-chain performance probabilities and target hitpoint maps. Additionally, the framework includes custom tools for conducting data analysis for tracking system performance against defined requirements, providing insight into performance sensitivities, and enable design choices and down selections to be well informed. Current efforts are focused on statistical based design of experiment techniques, model fitting, and predictive analytics. This documentation will focus on the framework design, data products, and analysis tools.

Cesar Sosa

Affiliation

Refine Results

Sensor Fuzed Munition Modeling Framework