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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
Prime Contractor
Rokubun
Subcontractors
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.

Application Domain
Navigation
Technology Domain
01 - On-board Data Subsystems
10 - Flight Dynamics and GNSS
Competence Domain
03 - Avionic Architecture / DHS / OnBoard S/W / FDIR / GNC / AOCS / TT&C (E2E)
09 - Digital Engineering for Space Missions
Initial TRL
TRL N/A
Target TRL
TRL N/A
Achieved TRL
TRL N/A
Public Document
Executive Summary
Final Presentation