This work develops a study of machine learning applied to positioning techniques based on times of arrival. We introduce a probabilistic framework to model the times of arrival and the user position, and we use this framework to empower a learning algorithm that learns information about the channel bias

Leaning techniques for positioning algorithms

Pilon, Giovanni
2017/2018

Abstract

This work develops a study of machine learning applied to positioning techniques based on times of arrival. We introduce a probabilistic framework to model the times of arrival and the user position, and we use this framework to empower a learning algorithm that learns information about the channel bias
2017-12-11
learning, positioning
File in questo prodotto:
File Dimensione Formato  
tesi-pilon-giovanni.pdf

accesso aperto

Dimensione 2.33 MB
Formato Adobe PDF
2.33 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/24154