Industrial thesis
- Thesis Director: Frédéric PASCAL
- Co-supervisor: Gilles CHARDON
- Funded by AVANTIX (ATOS Group)
- Subject: Artificial Intelligence for passive RADAR for electronic intelligence
Research topic:
My research focused on integrating artificial intelligence for processing passive RADAR signals for electronic warfare. More specifically, I initially worked on developing a novel unsupervised approach using optimal transport distances to deinterleave a signal containing pulses from an indeterminate number of emitters. Subsequently, I employed the optimal transport distance framework to distinguish and identify emitters using a referencing database.
Keys words: Deinterleaving, Classification, Optimal Transport, Clustering, Machine Learning, RADAR Recognition Process, Electronic warfare
More details at:
Linkedin: www.linkedin.com/in/manon-mottier