Open Thesis

Multi-level Fingerprinting-based Indoor Localization Scheme

Stichworte:
Indoor Localization, Multipath, Fingerprinting
Kurzbeschreibung:
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)

Betreuer:

Majdi Abdmoulah