Deep Learning‐Based Bluetooth Low‐Energy 5.1 Multianchor Indoor Positioning with Attentional Data Filtering

Deep Learning‐Based Bluetooth Low‐Energy 5.1 Multianchor Indoor Positioning with Attentional Data Filtering

Indoor positioning system (IPS) technologies have widespread applications in logistics, intelligent manufacturing, healthcare monitoring, etc. The recently released Bluetooth low‐energy (BLE) 5.1 specification enables in‐phase and quadrature‐phase (I/Q) data measurements. It allows angle of arrival...

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Bibliographic Details
Main Authors: Zhongyuan Lyu, Tom Tak-Lam Chan, Theo Yik-Tung Hung, Hang Ji, Gary Leung, Daniel Pak-Kong Lun
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Advanced Intelligent Systems
Subjects:
attention-based deep neural networks
BLE 5.1
data filtering
fingerprinting
indoor positioning
interferences
Online Access:https://doi.org/10.1002/aisy.202300292

Internet

https://doi.org/10.1002/aisy.202300292

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