Projects
Project Lead
Project Duration
2024 - 2025
Project Summary
The SatNEx V Call-off Order 9 WI Y4.7 "Direct Position Determination in Satellite Swarms" is funded by the European Space Agency and organised by the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC).
In this cooperation project between JMU Würzburg and ITIS GmbH at the Universität der Bundeswehr München, Direction of Arrival (DoA) methods for estimating the location of a transmitter on earth using a satellite swarm are derived and evaluated.
Project Lead
Prof. Dr. Guido Dietl and Prof. Dr. Marco Schmidt
Project Duration
2023 - 2026
Project Summary
The "Collaborative project UWE-5: Student training project to investigate the integration of nanosatellites in 5G networks; subproject: satellite system and communication software" (Universität Würzburg's Experimentalsatellit-5, UWE-5) is funded by the Federal Ministry of Economic Affairs and Climate Action.
In this cooperation project between JMU Würzburg and BTU Cottbus-Senftenberg, two nanosatellites are being developed for student training. Extended by a novel communication system, the integration of the satellites into 5G networks of the future will be investigated.
Project Lead
Prof. Dr. Guido Dietl (previously Prof. Dr. Sergio Montenegro)
Project Duration
2022 - 2024
Project Summary
The project "Multifunctional antenna films with AI-supported design for satellite communication in the automotive sector; subproject: AI-supported design" (Multifunktionale Antennenfolien mit KI-gestütztem Entwurf zur Satellitenkommunikation im Automobilbereich, MAKISA) is funded by the Federal Ministry of Economic Affairs and Climate Action.
In this cooperation project between JMU Würzburg and TU Dresden, we investigate phased array antennas on a film to facilitate car-to-satellite communications. A primary focus of the project is designing these antennas using AI methods.
Project Lead
Project Duration
2019 - 2021
Project Summary
The research project “Energy Efficient Firefly Synchronisation” (EnEFiS) develops and investigates synchronisation algorithms for energy efficient meshed networks. Energy efficiency is of special interest because it results in networks with high battery lifes and low maintenance costs. The focus with respect to synchronisation lies on self-organised and decentralised synchronisation methods like, e.g., the firefly synchronisation algorithm which is based on pulse-coupled oscillators and is motivated by nature where firefly swarms synchronise in a similar way.
The following movies show a simulation and a hardware implementation of a communications network whose nodes are synchronised based on the firefly synchronisation algorithm.
