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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: IEEE 2025-01-01
Schriftenreihe:IEEE Access
Schlagworte:
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-Zugang:https://ieeexplore.ieee.org/document/11269799/
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