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Master 2 project: GNSS Interference detection and characterization through Machine Learning/Deep Learning approach

3 Novembre 2022


Catégorie : Stagiaire


Intelligent mobility needs high-level performance requirements to ensure accuracy, availability, precision and safety at the position level. Global Navigation Satellite System (GNSS) is considered a key enabler but its signals are vulnerable to several disturbances (threats) in particular radio frequency interference from man-made devices.

The role of interference mitigation strategy becomes very crucial to counter disturbances induced by malicious signals. However, devising any mitigation strategy requires a better understanding of interference signal characteristics, in particular, for optimal mitigation.

The master project proposed intends to contribute to the LOCSP project in collaboration with an on-going PhD.

 

Topic context, description an requirements are here.