Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons

Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons

Indoor wireless localization using Bluetooth Low Energy (BLE) beacons has attracted considerable attention after the release of the BLE protocol. In this paper, we propose an algorithm that uses the combination of channel-separate polynomial regression model (PRM), channel-separate fingerprinting (F...

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Bibliographic Details
Main Authors: Yuan Zhuang, Jun Yang, You Li, Longning Qi, Naser El-Sheimy
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Sensors
Subjects:
indoor localization
polynomial regression model
fingerprinting
extended Kalman filtering
outlier detection
BLE beacons
Online Access:http://www.mdpi.com/1424-8220/16/5/596

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