Master Thesis: Indoor Positioning System Based On
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**U-Blox**:
- u‑blox is a leading fabless semiconductor provider of embedded positioning and wireless communication solutions. Our multi‑national employees working in 21 countries develop, deliver, and support high quality products. With their ideas, expertise, and passion for their work, they contribute to the successful achievement of u‑blox’s strategic goals.
- Master Thesis: Indoor Positioning System based on Machine Learning
**Aufgabenbeschreibung**:
One of the biggest challenges in indoor environments is signal degradation due to multipath propagation and attenuation. Machine Learning can significantly improve the accuracy and efficiency of these systems compared to classical estimation methods.
Project objectives:
- Development of a positioning system based on Bluetooth and adaptive machine learning
- Finding of a robust machine learning model which is applicable for different indoor environments
- Prototype implementation of the ML algorithms on an embedded system
- System verification and performance tests
**Erwartete Qualifikationen**:
- Extended knowledge in ML
- Software development on embedded systems, Python, C
- Basic knowledge in wireless communication technologies (Bluetooth)
- Basic RF and antenna knowledge, Hardware test and measurements
- Good analytical skills
- Flexible team player
- Good English
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