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