Rohde & Schwarz
flow-image

Improving The Capabilities Of Cognitive Radar & EW Systems

Published by Rohde & Schwarz

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.

Download Now

box-icon-download

Required fields*

Please agree to the conditions

By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@headleymedia.com .

Related Categories Test & Measurement, Wireless testing, Laboratory/bench equipment, Automated test equipment, Field-test equipment, Boundary scan equipment, Test probes and pins, Test software

More resources from Rohde & Schwarz