Learn how to develop high-fidelity cognitive radio systems with digital engineering for Electromagnetic Spectrum Operations (EMSO). See how modeling and simulation are performed at multiple abstraction levels and how MATLAB can be used to create training data sets for radar, communication systems, and other RF emitters to ensure robust training of deep learning and machine learning algorithms for use in cognitive radio applications.
To learn more about designing and testing multifunction RF systems like radar, wireless communications, and EMSO, click here:
https://bit.ly/rf-systems
Chapters:
00:00 – Introduction
00:50 – Digital Engineering for EMSO
02:11 – Modeling and Simulation
09:56 – Multifunction RF systems
14:44 – Dynamic Radar/EW Scenarios
21:27 – Adaptive Mode-Agility Examples
23:46 - AI Workflow
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