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What is Self-Supervised Learning for Radar MTI about?

This document presents a self-supervised deep learning approach for moving target detection in radar systems, aiming to enhance or replace traditional algorithms like space-time adaptive processing (STAP). The proposed method utilizes an auto-differentiable simulator for training without labeled data, addressing limitations of conventional techniques that often fail under real-world conditions. The study demonstrates the effectiveness of this approach through comparisons with existing algorithms using simul

Author

Subhosri Basu

Language

EN