AI Overview for Radar Applications: Signal Classification in Spectrum Sharing
Overview
This session will provide an overview of how MATLAB enables you to apply AI (Artificial Intelligence) to solve complex engineering challenges in radar systems. We will:
- Show where AI is being applied in radar applications, and how it is enabling better performance, improvement in system architecture, and greater flexibility
- Topics covered include: Deep Learning for Direction of Arrival Estimation, Signal Classification, Waveform Classification, and Target Identification
- Demonstrate a workflow for how you can research, develop and deploy your own AI application for identifying radar signals in the context of spectrum sharing
- Outline what MathWorks engineers can do to help support you achieve success with AI
Highlights
- Synthesizing and feature engineering signal data
- Training and evaluating a radar waveform classifier using Deep Learning alongside 5G waveforms
- Deployment to an NI USRP for model validation
This event is part of a series of related topics. View the full list of events in this series.
