Enhancing 3D Indoor Visible Light Positioning With Machine Learning Combined Nyström Kernel Approximation-Reference-Cited by-同舟云学术

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Enhancing 3D Indoor Visible Light Positioning With Machine Learning Combined Nyström Kernel Approximation

Published:2024 Issue: Volume: Page:1-15
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Rekkas Vasileios P.¹^ORCID,Sotiroudis Sotirios P.¹^ORCID,Iliadis Lazaros Alexios¹^ORCID,Bastiaens Sander²^ORCID,Joseph Wout²^ORCID,Plets David²^ORCID,Christodoulou Christos G.³^ORCID,Karagiannidis George K.⁴^ORCID,Goudos Sotirios K.¹^ORCID

Affiliation:

1. School of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece

2. Department of Information Technology, imec-WAVES Group, Ghent University, Ghent, Belgium

3. Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA

4. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

Hellenic Foundation for Research and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/11/4359969/10628116.pdf?arnumber=10628116

Cited by 1 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. Navigating in Light: Precise Indoor Positioning Using Trilateration and Angular Diversity in a Semi-Spherical Photodiode Array with Visible Light Communication;Electronics;2024-09-10

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