Skip to main content

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

Programme Reference

22-D-T-CIP-01-f

Status

Closed

Country

Spain

Start Date

2022

End Date

2024

Programme: Discovery Prime Contractor: Rokubun

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
PDF
Final Presentation
PPTX

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