Application of long short term memory neural networks for GPS Satellite clock bias prediction

Satellite-based localization systems like GPS or Galileo are one of the most com-monly used tools in outdoor navigation. While for most applications, like car navigation orhiking, the level of precision provided by commercial solutions is satisfactory it is not alwaysthe case for mobile robots. In the case of long-time autonomy and robots that operate in re-mote areas battery usage and access to synchronization data becomes a problem. In this paper,a solution providing a real-time onboard clock synchronization is presented. Results achievedare better than the current state-of-the-art solution in real-time clock bias prediction for mostsatellites.