Development of Cognitive RF Systems

In this talk, you will learn how MATLAB can be used to create training data sets for radars, communication systems, and other RF emitters to ensure robust training of deep learning and machine learning algorithms for use in cognitive radio applications.

Topics covered will include:

• How digital engineering helps interdisciplinary teams collaborate
• Considerations for how modeling and simulation can be performed at multiple abstraction levels
• An introduction to several multifunction RF mode-agility examples
• An AI workflow overview with a corresponding example