Iterative point-wise reinforcement learning for highly accurate indoor visible light positioning-Reference-Cited by-同舟云学术

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Iterative point-wise reinforcement learning for highly accurate indoor visible light positioning

Published:2019-07-22 Issue:16 Volume:27 Page:22161
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Zhang Zhuo,Zhu Yaguang,Zhu Wentao,Chen Huayang,Hong Xuezhi,Chen Jiajia

Funder

Göran Gustafssons Stiftelse

National Natural Science Foundation of China (NSFC)

Natural Science Foundation of Guangdong Province

Stiftelsen för Strategisk Forskning (SSF)

Swedish ICT-TNG

Vetenskapsrådet (VR)

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference14 articles.

1. Evaluation of Two WiFi Positioning Systems Based on Autonomous Crowdsourcing of Handheld Devices for Indoor Navigation

2. An Enhanced ZigBee Indoor Positioning System With an Ensemble Approach

3. Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons

4. Positioning for visible light communication system exploiting multipath reflections;Hosseinianfar,2017

5. VLC: Beyond point-to-point communication

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1. A survey on machine learning algorithm applications in visible light communication systems;Optical and Quantum Electronics;2024-07-23

2. Indoor Positioning by Double Deep Q-Network in VLC-Based Empty Office Environment;Applied Sciences;2024-04-26

3. Indoor Visible Light Positioning Technology;Handbook of Optical Wireless Communication;2024

4. Robustness enhancement of indoor visible light positioning system based on cascaded residual neural network;Optics Communications;2023-11

5. Tilted-angle insensitive received signal strength in visible light positioning systems using a deep neural network trained by synthetic data;AIP Advances;2023-06-01

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