Visible Light Positioning for 2D/3D Indoor Environments Using Extreme Learning Algorithms

This paper tackles indoor receiver localization as a regression task using visible light positioning (VLP). This technology has gained prominence as an alternative to conventional indoor positioning. Traditional systems such as WiFi and ZigBee face notable drawbacks: electromagnetic interference, ad...

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Bibliografiske detaljer

Principais autores:	Nicolas Pacheco-Valenzuela, David Zabala-Blanco, Cesar Azurdia-Meza, Ismael Soto, Pablo Palacios Jativa, Roberto Ahumada-Garcia, Philip Vasquez-Iglesias, Cristobal Carreno Mosqueira, Nicolas Krommenacker, Patrick Charpentier, Ivan Sanchez
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Extreme Learning Machine (ELM) Indoor Positioning System (IPS) Power Spectral Density (PSD) Received Signal Strength (RSS) Visible Light Communication (VLC) Visible Light Positioning (VLP)
Online adgang:	https://ieeexplore.ieee.org/document/11269799/
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