Nebula Public Library

The knowledge bank of ESA’s R&D programmes

FITAI: Artificial Intelligence for GNSS post-fit residual and position joint analysis. A plugin for Jason, Rokubun cloud GNSS processing service

Programme
Discovery
Programme Reference
22-D-T-CIP-01-f
Contractor
Rokubun
Start Date
End Date
Status
Closed
Country
Spain
FITAI: Artificial Intelligence for GNSS post-fit residual and position joint analysis. A plugin for Jason, Rokubun cloud GNSS processing service
Description

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.

Technology Domain
1 - On-board Data Subsystems
10 - Flight Dynamics and GNSS
Competence Domain
3-Avionic Systems
9-Digital Engineering
Executive summary
Final presentation