The interest of having in the near future an available Position, Navigation and Timing (PNT) service supporting future missions to and at the Moon is currently supported by both institutional and commercial initiatives. On the commercial side, multiple companies are developing business solutions targeting the Moon and several major European companies are proposing to team up to build a communications network on the Moon compatible to terrestrial standards. In parallel, NASA has recently announced its plans to a ?Return to the moon?

FITAI is a Machine Learning based technique that improves GNSS positioning engine accuracy by mapping signal strength and residuals into position errors. These inputs are fed into a neural network to learn and correct errors, offering a non-invasive solution that provides better location precision without relying on external sources like reference stations.

GNSS observations, as taken by global GNSS sensor networks, are affected by a multitude of effects impacting the quality of the GNSS observations itself as well as the derived products. This is especially true for high accuracy products like precise orbits and clocks and also for corrections applied for real time applications. The effects impacting the GNSS observations range from unexpected GNSS behaviour, atmospheric disturbances (e.g. scintillation), environmental (e.g. multipath, antenna, ?) and seasonal effects up to those which are depending on the GNSS receiver behaviour.

The interest of having in the near future an available Position, Navigation and Timing (PNT) service supporting future missions to and at the Moon is currently supported by both institutional and commercial initiatives. On the commercial side, multiple companies are developing business solutions targeting the Moon and several major European companies are proposing to team up to build a communications network on the Moon compatible to terrestrial standards. In parallel, NASA has recently announced its plans to a ?Return to the moon?

All satellites must have the ability to correct for the high rotational tip-off rates after initial release from the launch vehicle. On current navigation satellites, de-tumbling is usually achieved in short duration using the onboard chemical propulsion thrusters. With future Navigation satellites looking at using all-electric propulsion satellites, these manouevres are to be performed by xenon-fed auxiliary thrusters. COTS (xenon cold gas) auxiliary thrusters are limited in the max thrust level provided and the de-tumbling duration, in the absence of chemical thrusters, is a concern.