Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/23627
Title: Study on an indoor positioning system for harsh environments based on Wi-Fi and Bluetooth low energy
Authors: de Blasio, Gabriel 
Quesada-Arencibia, Alexis 
García, Carmelo R. 
Molina-Gil, Jezabel Miriam
Caballero-Gil, Cándido
UNESCO Clasification: 120304 Inteligencia artificial
3327 Tecnología de los sistemas de transporte
Keywords: Indoor positioning system
Ubiquitous computing
Intelligent transport system
WLAN
BLE
Issue Date: 2017
Journal: Sensors 
Abstract: This paper presents a study of positioning system that provides advanced information services based on Wi-Fi and Bluetooth Low Energy (BLE) technologies. It uses Wi-Fi for rough positioning and BLE for fine positioning. It is designed for use in public transportation system stations and terminals where the conditions are “hostile” or unfavourable due to signal noise produced by the continuous movement of passengers and buses, data collection conducted in the constant presence thereof, multipath fading, non-line of sight (NLOS) conditions, the fact that part of the wireless communication infrastructure has already been deployed and positioned in a way that may not be optimal for positioning purposes, variable humidity conditions, etc.
URI: http://hdl.handle.net/10553/23627
ISSN: 1424-8220
DOI: 10.3390/s17061299
Source: Sensors (Switzerland) [ISSN 1424-8220], v. 17 (6), (1299)
Rights: by-nc-nd
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