EPISODE · Sep 18, 2024 · 12 MIN
MATLAB Unboxed: Radar Sea Clutter Modelling and Removal Techniques
from MATLAB Unboxed: A Journey with Marco · host Che Figo
In this episode of MATLAB Unboxed, Marco Roggero explores the challenges of radar sea clutter and the importance of modeling and removing it for maritime radar systems. He discusses how MATLAB can simulate different sea states and clutter conditions, and highlights the use of deep learning to suppress clutter and improve target detection. With practical examples, Marco demonstrates how these tools enhance radar performance in real-world maritime environments. Tune in to learn more about radar signal processing and the cutting-edge techniques available through MATLAB.
What this episode covers
In this episode of MATLAB Unboxed, Marco Roggero explores the challenges of radar sea clutter and the importance of modeling and removing it for maritime radar systems. He discusses how MATLAB can simulate different sea states and clutter conditions, and highlights the use of deep learning to suppress clutter and improve target detection. With practical examples, Marco demonstrates how these tools enhance radar performance in real-world maritime environments. Tune in to learn more about radar signal processing and the cutting-edge techniques available through MATLAB.
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MATLAB Unboxed: Radar Sea Clutter Modelling and Removal Techniques
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