Multi-level Fingerprinting-based Indoor Localization Scheme
Indoor Localization, Multipath, Fingerprinting
Multi-layer reference map implementation for fingerpriting-based Indoor localization.
Beschreibung
This work falls within the scope of indoor localization, more precisely the fingerprinting-based indoor localization.
Your task will be to investigate the potential and outcomes of opting for a multi-layer reference map during the "Offline phase", which corresponds to a potential improvement idea that has never been opted for or tested in the current state-of-the- Art fingerprinting schemes.
The aim here is to achieve a better trade off between both performance and costs yielding a better localization method.
Voraussetzungen
Required:
- Python and/or Matlab
- Basic knowledge in signal processing and wireless communication
- Analytical thinking and creativity
Kontakt
To get more info/details and initiate contact:
Majdi.abdmoulah@tum.de
(Please attach your cv and transcript)