Machine Learning Boosts GPS Precision: New Method Enhances Ambiguity Resolution

Machine Learning Boosts GPS Precision: New Method Enhances Ambiguity Resolution

A new study has introduced a machine learning-based approach to improve the reliability of Global Navigation Satellite System (GNSS) ambiguity resolution, a critical step for achieving high-precision positioning. By integrating multiple diagnostic metrics into a Support Vector Machine (SVM) model, the method significantly enhances the success rate of ambiguity validation compared to traditional empirical tests.

Compact and Flexible NavCom X for Rail and Beyond - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

NavCom X is a precision positioning and communication system developed by Czech company Betrian, in collaboration with the Prague-based GNSS Centre of Excellence (GCE), and with support from the European Space Agency (ESA) under the NAVISP program. The project is a direct response to Czech railway operators calling for a modular, high-accuracy GNSS-based device, with Galileo as the preferred satellite system. But the resulting solution is easily…