MATLAB Unboxed: Radar Sea Clutter Modelling and Removal Techniques
Listen now
Description
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.
More Episodes
In this episode of MATLAB Unboxed, Marco Roggero delves into the exciting and impactful world of electrification, exploring its importance in modern engineering and the critical challenges it presents. He discusses how MATLAB, Simulink, and Simscape support engineers in developing electrification...
Published 11/07/24
MATLAB Unboxed: Signal Labeling for Radar In this episode of MATLAB Unboxed, Marco Roggero delves into the importance of signal labeling for radar systems, particularly in the context of artificial intelligence and machine learning. Discover how MATLAB’s Signal Labeler simplifies the process of...
Published 09/18/24