Precision indoor three‐dimensional visible light positioning using receiver diversity and multi‐layer perceptron neural network

Author:

Mahmoud Abdulrahman A.1ORCID,Ahmad Zahir Uddin2,Haas Olivier C.L.1,Rajbhandari Sujan3

Affiliation:

1. Research Institute for Future Transport and Cities, Coventry UniversityCoventryCV1 5FBUK

2. School of Computing, Electronics and Mathematics, Coventry UniversityCoventryCV1 2JHUK

3. Huawei Technologies Sweden ABGothenburgSweden

Funder

Petroleum Technology Development Fund

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comprehensive Investigation and Evaluation of an Indoor 3D System Performance Based on Visible Light Communication;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

2. Indoor high-precision visible light positioning system using Jaya algorithm;Mathematical Biosciences and Engineering;2023

3. Artificial Intelligence in Visible Light Positioning for Indoor IoT: A Methodological Review;IEEE Open Journal of the Communications Society;2023

4. Analysis and Accuracy Improvement of UWB-TDoA-Based Indoor Positioning System;Sensors;2022-11-24

5. An Efficient 3D Indoor Positioning System Based on Visible Light Communication;2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2022-10-25

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