GNSS systems are becoming more and more important in everyday life, enabling applications of autonomous driving and transportation, in general. The objective of this thesis is to develop a digital twin of a GNSS receiver in order to develop software-defined receivers, augmenting the power of such a technology. To this aim, data coming from real accuracy measurements of different positioning systems and in different earth locations, will be analyzed and used to synthesize the digital twin with deep learning techniques.
Main topic:
Advanced simulations, digital twin, analytics platform.
Course of study and candidate requirements:
Master thesis topic in Computer Engineering, Computer Science.
Location: Naples
