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Future Trends in Navigation -3

Tracks
Conference Room C
Thursday, May 22, 2025
4:30 PM - 5:50 PM
Conference Room C

Details

Chairs: Domenico di Grazia and Ruediger Weiler


Speaker

Mr. Enrico Edoardo Zini
Navigation System Engineer
Thales Alenia Space Italia

Inter-Satellite Link Network Real-Time Ring Dissemination Performance and Robustness

4:30 PM - 4:50 PM

Biography

Edoardo Zini is a Navigation System engineer for Thales Alenia Space. After contributing to the Lunar Radio Navigation System (LRNS) design as system engineer, with particular focus on ODTS aspects, he is currently working on Galileo 2nd Generation System Engineering as technical coordination of the System Design team. His main areas of involvement are ISL, RF Interfaces, Data Dissemination and on-board data handling. Collocated at ESA/ESTEC premise.
Dr. Grzegorz Michalak
Project Scientist
DLR

Optical time transfer accuracy verification via closed-loops inter-satellite and ground-to-satellite links topologies

4:50 PM - 5:10 PM

Biography

Dr. Grzegorz Michalak received his PhD in Physical Sciences (Astronomy) in 2000 from Wrocław University, Poland. In 2001 he joined orbit determination group at the German Research Centre for Geosciences (GFZ). His main activity was focused on precise orbit determination of GNSS and LEO satellites using real and simulated data. In 2021 he joined the German Aerospace Center (DLR) where he works on Galileo evolution concepts including exploitation of inter-satellite links in GNSS.
Mr. Thomas Barbero
R&D Engineer
Abbia GNSS Technologies

Toward an Interpretable Multipath Error Model from GNSS Observables through the Application of Deep Learning

5:10 PM - 5:30 PM

Biography

Thomas Barbero is a R&D engineer at Abbia Group, where he works on performance topics for EGNOS, Factor Graph Optimization applied to Navigation. Additionally, his research activities focus on the integration of Deep Learning algorithms for PNT robustness. This work presents results regarding the ability to capture correlations between GNSS raw data and multipath using Deep Learning, and focus on the interpretability of the operations of the presented models.
Ms. Evelina Sakalauskaite
Young Graduate Trainee In System Engineering for Genesis
ESA/ESTEC

Genesis GNSS Observables: Simulation Methodology and Preliminary Results

5:30 PM - 5:50 PM

Biography

Evelina Sakalauskaite has a MEng in Aerospace Engineering from the University of Sheffield. She joined ESA and the ESA Genesis Project Team in September 2023 as a Young Graduate Trainee in System Engineering for Genesis. She supports preparation for science exploitation and system engineering activities.
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