Indoor visible light positioning algorithm based on SCSSA-RF algorithm

CHEN Yao; ZHANG Lieping; GAO Xiaolin; ZHANG Cui

doi:10.13921/j.cnki.issn1002-5561.2025.01.001

Optical Communication Technology, Volume. 49, Issue 1, 1(2025)

Indoor visible light positioning algorithm based on SCSSA-RF algorithm

CHEN Yao¹, ZHANG Lieping², GAO Xiaolin², and ZHANG Cui³

¹Key Laboratory of Advanced Manufacturing and Automation Technology in Guangxi Universities, Guilin University of Technology, Guilin Guangxi 541006, China

²Guangxi Key Laboratory of Special Engineering Equipment and Control, Guilin University of Aerospace Technology, Guilin Guangxi 541004, China

³School of Information Engineering, Nanning College of Technology, Guilin Guangxi 541006, China

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References(5)

[1] [1] TRAN H Q, HA C. Machine learning in indoor visible light positioning systems: a review[J]. Neurocomputing, 2022, 491: 117-131.

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[5] [5] LI J, CHEN J, SHI J. Evaluation of new sparrow search algorithms with sequential fusion of improvement strategies[J]. Computers & Industrial Engineering, 2023, 182: 109425-1-109425-25.

[6] [6] LIU W, WANG L, DU H, et al. Optimization of a photovoltaic-windpumped hydro co-generation system using an improved artificial hummingbird algorithm[J]. Journal of Energy Storage, 2024, 98: 113090-1-113090-21.

[7] [7] BELLAVISTA-PARENT V, TORRES-SOSPEDRA J, PEREZ-NAVARRO A. Comprehensive analysis of applied machine learning in indoor positioning based on wi-fi: an extended systematic review[J]. Sensors, 2022, 22(12): 4622-1-4622-25.

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CHEN Yao, ZHANG Lieping, GAO Xiaolin, ZHANG Cui. Indoor visible light positioning algorithm based on SCSSA-RF algorithm[J]. Optical Communication Technology, 2025, 49(1): 1

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Paper Information

Special Issue:

Received: Sep. 13, 2024

Accepted: Jun. 17, 2025

Published Online: Jun. 17, 2025

The Author Email:

DOI:10.13921/j.cnki.issn1002-5561.2025.01.001

Topics

laser devices and laser physics

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