Toward Accurate Indoor Positioning: An RSS-Based Fusion of UWB and Machine-Learning-Enhanced WiFi†

Toward Accurate Indoor Positioning: An RSS-Based Fusion of UWB and Machine-Learning-Enhanced WiFi†

A wide variety of sensors and devices are used in indoor positioning scenarios to improve localization accuracy and overcome harsh radio propagation conditions. The availability of these individual sensors suggests the idea of sensor fusion to achieve a more accurate solution. This work aims to addr...

Full description

Bibliographic Details
Main Authors: Kia, G. (Author), Ruotsalainen, L. (Author), Talvitie, J. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
fusion
Gaussian distribution
Gaussian noise (electronic)
Gaussian process
Gaussian Processes
indoor position estimation
Indoor position estimation
Indoor positioning
Indoor positioning systems
machine learning
Machine learning
Machine-learning
Position estimation
Radio waves
Received signal strength
Round-trip-time
RSS
RTT
Twoway ranging
Two-way ranging
TwoWay Ranging (TWR)
Ultra-wideband (UWB)
UWB
WiFi
Wireless fidelities
Wireless local area networks (WLAN)
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items