GNSS RECEIVER ALGORITHMS FOR ADVANCED GALILEO SERVICES
Starting Date: May 2022
Head of Research Group: Dr. Stefan Baumann (IABG)
Stakeholders:
- UniBwM (Institute of Space Technology and Applications)
- TUM (Institute of Astronomical and Physical Geodesy)
- IABG (Department InfoCom)
Abstract: Two new services are currently being implemented for the Galileo satellite navigation system. The High Accuracy Service (HAS) will provide decimeter-accuracy and the Open Service Navigation Message Authentication Service (OS-NMA) will enable the verification of the calculated position in certain time intervals. Both services follow general principles, e.g. Precise Point Positioning (PPP) and standard cryptographic methods, but are highly complex in their specific implementation. Especially the combination of both services is very interesting for many safety related applications like autonomous driving/flying, various railway applications, precise farming, etc. A deep understanding of the technologies mentioned, but also of the application-specific requirements and relevant regulations are important prerequisites for a successful exploitation of the Galileo HAS and OS-NMA in the future. For each Galileo service a PhD position will be granted and the two activities will be closely coordinated in order to exploit the synergies of HAS and OS-NMA.
MACHINE LEARNING FOR NETWORK MANAGEMENT AND RESOURCE ALLOCATION IN FUTURE SATELLITE SYSTEMS (NEMARA-AI)
Starting Date: 2021
Head of Research Group: Prof. Andreas Knopp (UniBwM)
Coordinator: Dr.-Ing. Thomas Delamotte (UniBwM)
Stakeholders:
- UniBwM (Chair of Signal Processing)
- DLR (Institute of Communications and Navigation)
Abstract: Satellite systems are essential to guarantee global connectivity in 5G & Beyond. Services ranging from IoT applications to broadband internet access will indeed be provided by a multi-layered space network including flexible digital payloads in various orbits (e.g. LEO, GEO). To satisfy changing traffic demands, such a network will be highly interoperable and reconfigurable. In this context, automated decision-making solutions will be of paramount importance to ensure an efficient management of the system resources. However, standard optimization schemes are generally not suitable for solving such high-dimensional problems. In view of these challenges, the research works conducted in the group aim at developing and analyzing innovative machine learning approaches for the supervision of complex satellite systems. Adaptive network management and routing techniques are proposed to minimize the average transmission delay and limit packet losses. On the other hand, dynamic radio resource management strategies are investigated to maximize capacity by optimizing the use of physical layer resources such as time, power and bandwidth.
ON-BOARD DIGITAL PREDISTORTION FOR NEXT-GENERATION HIGH THROUGHPUT SATELLITES
Funding Period: December 2018 – December 2020
Head of Research Group: Prof. Andreas Knopp (UniBwM)
Stakeholders:
- UniBwM (Institute of Information Technology, Chair of Signal Processing)
- DLR (Institute of Communications and Navigation, Satellite Networks Department)
EFFICIENT CODING AND MODULATION FOR SATELLITE LINKS WITH SEVERE DELAY CONSTRAINTS
Funding Period: February 2017 – August 2020
Head of Research Group: Prof. Gerhard Kramer (TUM)
Stakeholders:
- DLR (Institute of Communications and Navigation, Satellite Networks Department)
- TUM (Chair of Communications Engineering)
International partners:
- Aalborg University (Department of Electronic Systems)
- Chalmers University (Institute of Communications Engineering)
- Duke University (Department of Electrical and Computer Engineering)
- Huawei Technologies France, Paris
- Lund University (Institute of Communications Engineering)
- Massachusetts Institute of Technology (Department of Electrical Engineering & Computer Science)
- Stanford University (Tse Lab)
- University of Bologna (Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi” (DEI))
INTERFERENCE ALIGNMENT IN SATELLITE NETWORKS
Funding Period: October 2011 – October 2016
Head of Research Group: Prof. Berthold Lankl (UniBwM)
Stakeholders:
- DLR (Institute of Communications and Navigation)
- UniBwM (Institute of Information Technology)
OPTICAL COMMUNICATIONS, NETWORK CODIFICATION, SAMPLE-BASED TRANSPONDERS AND RETRO-REFLECTIVE ANTENNAE
Funding Period: January 2012 – December 2016 as part of the Helmholtz Alliance project DLR@Uni
Head of Research Group: Dr. Sandro Scalise (DLR)
Stakeholders:
- DLR (Institute of Communications and Navigation)
- TUM (Chair of Communications Engineering and Chair of Circuit Theory and Signal Processing)
- UniBwM (Institute of Information Technology)