European Geostationary Navigation Overlay Service Performance Prediction

Abstract

The paper describes the development of a machine learning-based system to predict the performance of EGNOS. The system is shown to perform considerably better than existing simple geometry-based ‘macro’ models developed for the same purpose in the past.

Keywords

• EGNOS
• GPS
• machine learning
• performance prediction
• integrity