Improving the Capabilities of Cognitive Radar and EW Systems

In this white paper we will review the challenges that mode-agile (WARM) radar and EW threat emitters pose to traditional static threat library implementations in radar and EW systems, and consider the architecture of cognitive artificial intelligence (AI) and machine learning (ML) systems that can be used to deliver effective RF countermeasures. We will discuss how a wideband RF record, simulation and playback system can be used to train the AI/ML engines and evaluate the responses and effectiveness of those countermeasures on real hardware.