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

To achieve and maintain electromagnetic spectrum (EMS) superiority in future peer or near-peer conflicts, Warfighters need access to accurate and on-time situational awareness of the electromagnetic operational environment (EMOE). EMS situational awareness is critical for electronic warfare support (ES) systems which must quickly detect hostile radar activity, assess their threat level, and select and optimize the appropriate electronic countermeasures (ECM) in order to successfully defend against attack. To overcome these challenges, Charles River is pleased to propose Learning Adaptive Radar Generated Emissions and Making Inferences about Complex Emitters (LARGE MICE), an automated tool for learning radar behaviors and characterizing threats in the EMS. LARGE MICE uses hierarchical predictive processing to enable Warfighters to rapidly detect, intercept, and characterize adversarial radar activities.