Learning Adaptive Radar Generated Emissions and Making Inferences about Complex Emitters (LARGE MICE)

To achieve and maintain electromagnetic spectrum (EMS) superiority in future great power competition, Warfighters need access to accurate and timely situational awareness of the electromagnetic operational environment (EMOE) at the speed of relevance. EMS situational awareness is particularly critical for electronic support systems that must quickly detect and classify hostile radar activity and assess their threat level to provide warnings to protected assets, and threat characterizations to countermeasures. Having successfully demonstrated the feasibility of our approach in Phase I, Charles River Analytics proposes a Phase II effort to develop and evaluate Learning Adaptive Radar Generated Emissions and Making Inferences about Complex Emitters (LARGE MICE). LARGE MICE uses hierarchical predictive processing to enable Warfighters to rapidly characterize adversarial radar activities and make operationally relevant inferences about their threat level.