A Lightweight, Flexible, Scalable Approach to Trainer Systems

Over the last decade developments in ASW sensor systems has greatly increased the number and types of the sensor deployed thus increasing the volume of data by orders of magnitude that is required to be simulated by a trainer system. Traditional training systems suffer severe scaling limitations, as they grow to address a multiplicity of simulated targets, simulated environments and simulated sensors. Attempts to federate moderate-scale simulators to solve the scaling problem have met with limited success, despite extensive investment New approaches are needed to allow trainer environments to easily grow with the systems they are supporting.. The techniques listed in this proposal addresses fundamental architectural issues which have long limited progress of keeping the trainers in-sync with the advancing systems they support.