基于实验可见光通信系统的光学定位研究

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computation Pub Date : 2023-08-14 DOI:10.3390/computation11080161

Nikoleta Vitsi, A. Stassinakis, N. A. Androutsos, G. D. Roumelas, G. K. Varotsos, K. Aidinis, H. Nistazakis

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引用次数: 0

摘要

可见光定位系统(VLP)由于其与射频(RF)定位系统等其他应用相比具有许多优势而引起了重大的商业和研究兴趣。在这项工作中，研究了一个基于朗伯光发射的室内VLP系统的实验配置。结果表明，即使在低传输功率和高背景噪声的情况下，该系统仍能保持足够高的精度。

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Study on Optical Positioning Using Experimental Visible Light Communication System

Visible light positioning systems (VLP) have attracted significant commercial and research interest because of the many advantages they possess over other applications such as radio frequency (RF) positioning systems. In this work, an experimental configuration of an indoor VLP system based on the well-known Lambertian light emission, is investigated. The corresponding results are also presented, and show that the system retains high enough accuracy to be operational, even in cases of low transmitted power and high background noise.

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来源期刊

Computation Mathematics-Applied Mathematics

CiteScore

3.50

自引率

4.50%

发文量

201

审稿时长

8 weeks

期刊介绍： Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.