Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

We propose a localization technique by fusing multiple classifiers based on received signal strengths (RSSs) of visible light in which different intensity-modulated sinusoidal signals emitted by LEDs are captured by photodiodes placed at various grid points. First, we obtain some approximate RSSs fi...

Full description

Bibliographic Details
Main Authors: Xiansheng Guo, Sihua Shao, Nirwan Ansari, Abdallah Khreishah
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Photonics Journal
Subjects:
Indoor positioning
visible light communications (VLC)
received signal strengths (RSSs) fingerprints
intensity modulated direct detection (IM/DD)
machine learning
fusion localization.
Online Access:https://ieeexplore.ieee.org/document/8089342/

Similar Items

Similar Items