Deep Learning-Based Indoor Localization Using Multi-View BLE Signal

Deep Learning-Based Indoor Localization Using Multi-View BLE Signal

In this paper, we present a novel Deep Neural Network-based indoor localization method that estimates the position of a Bluetooth Low Energy (BLE) transmitter (tag) by using the received signals’ characteristics at multiple Anchor Points (APs). We use the received signal strength indicator (RSSI) va...

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Bibliographic Details
Main Authors: Aristotelis Koutris, Theodoros Siozos, Yannis Kopsinis, Aggelos Pikrakis, Timon Merk, Matthias Mahlig, Stylianos Papaharalabos, Peter Karlsson
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
indoor localization
BLE
deep neural networks
angle of arrival
Online Access:https://www.mdpi.com/1424-8220/22/7/2759

Internet

https://www.mdpi.com/1424-8220/22/7/2759

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