Development of cognitive EW datasets

In this webinar, The MathWorks and Rohde & Schwarz will review the challenges that mode-agile RADAR and EW threat emitters pose to traditional static threat library implementations in RADAR and EW systems, and assess 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 robust toolchain based on the MathWorks® Matlab® can be used to create rich and complex training datasets to ensure optimal training of IA and ML algorithms. We will conclude with a discussion of a wideband RF record, simulation and playback system that can be used to create realistic training environments with Over The Air (OTA) measurements of those AI & ML systems running on real-world hardware.

In this webinar, you will learn how to/ more about:

• Development of cognitive EW datasets
• Toolset to create realistic threat datasets
• Data preparation, AI modeling, simulation and test
• Deployment of datasets to the system