White paper: Improving the capabilities of cognitive radar and EW systems

Unveil the challenges that mode-agile radar and EW threat emitters pose to traditional static threat library implementations in radar and EW systems.

In this publication 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 also explain 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.