| KEYWORD |
Machine learning algorithms for global navigation satellite systems (GNSS)
keywords GALILEO, GNSS, GPS, MACHINE LEARNING
Reference persons FABIO DOVIS, NICOLA UMBERTO LINTY
Research Groups Navigation Signal Analysis and Simulation group (NavSAS)
Thesis type RESEARCH ORIENTED
Description Machine learning and deep learning algorithms are the cutting edge tools for advanced and innovative statistical analysis of big data. The use of such technique for positioning, navigation and related topics is still under investigation, but preliminary research analysis showed a great potential.
The aim of this thesis is the investigation of the possibilities to employ machine learning and deep learning techniques for GNSS related problems, such as:
- ionospheric scintillations detection and characterization
- radio frequency interference detection and characterization
Required skills Positioning and satellite navigation principles, signal processing
Deadline 25/10/2018
PROPONI LA TUA CANDIDATURA