Master Thesis Student (f/m/x) Localizing Trains with the Future Railway Mobile Communication System
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Deine Aufgaben
While being the most environmentally friendly transport system, the current railway system suffers from inefficient use of its available track infrastructure and outdated technologies such as GSM-R. As GSM-R will be replaced with the Future Railway Mobile Communication System (FRMCS) based on 5G, we plan to use FRMCS also for reliable, secure train localization.
In your thesis you will develop train localization algorithms using distance dependent FRMCS measurements and suitable tracking filters for railways. In particular you will work with realistic radio propagation models to account for local effects such as multipath and non-line-of-sight (NLOS) propagation. Besides train-to-ground links you will extend the train localization to FRMCS conform 5G side links and 5G/6G satellite networks.
- Review the literature on FRMCS, 5G side links, 5G/6G satellite networks, radio-based reliable and secure train localization, and multipath propagation in railway environment
- Plan, implement and test a simulation framework for train localization with FRMCS train-to-ground links
- Research and develop advanced reliable and secure ranging and train localization algorithms for FRMCS signals with realistic radio propagation models
- Extend simulation framework by FRMCS conform 5G side links and 5G/6G satellite network links
- Extend advanced reliable and secure ranging and train localization algorithms for FRMCS conform 5G side link and 5G/6G satellite network signals with realistic radio propagation models
- Document your research results in a thesis report
Dein Profil
- ongoing studies in electrical engineering or computer science
- very good knowledge in signal processing, estimation theory, navigation and localization technologies
- very good programming skills, for example with MATLAB and Python
- Ability to work independently and to solve complex problems on your own
- excellent English knowledge written and spoken
What to expect
While being the most environmentally friendly transport system, the current railway system suffers from inefficient use of its available track infrastructure and outdated technologies such as GSM-R. As GSM-R will be replaced with the Future Railway Mobile Communication System (FRMCS) based on 5G, we plan to use FRMCS also for reliable, secure train localization.
In your thesis you will develop train localization algorithms using distance dependent FRMCS measurements and suitable tracking filters for railways. In particular you will work with realistic radio propagation models to account for local effects such as multipath and non-line-of-sight (NLOS) propagation. Besides train-to-ground links you will extend the train localization to FRMCS conform 5G side links and 5G/6G satellite networks.
Your tasks
- Review the literature on FRMCS, 5G side links, 5G/6G satellite networks, radio-based reliable and secure train localization, and multipath propagation in railway environment
- Plan, implement and test a simulation framework for train localization with FRMCS train-to-ground links
- Research and develop advanced reliable and secure ranging and train localization algorithms for FRMCS signals with realistic radio propagation models
- Extend simulation framework by FRMCS conform 5G side links and 5G/6G satellite network links
- Extend advanced reliable and secure ranging and train localization algorithms for FRMCS conform 5G side link and 5G/6G satellite network signals with realistic radio propagation models
- Document your research results in a thesis report
Your profile
- ongoing studies in electrical engineering or computer science
- very good knowledge in signal processing, estimation theory, navigation and localization technologies
- very good programming skills, for example with MATLAB and Python
- Ability to work independently and to solve complex problems on your own
- excellent English knowledge written and spoken
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