Comparison of probability density functions for analyzing fluctuations in atmospheric turbulent light intensity

Many probability density functions (pdfs) are used to analyze the light intensity fluctuations. Based on the fiber-coupled receiving system, this paper proposes a dual Johnson \({S}_B\) (DJSB) distribution model, which is a four-parameter distribution based on the Johnson \({S}_B\) (JSB) distribution. The light intensity undulation data are collected by building an experimental platform, and the PDF model is fitted to the experimental data using the least-squares method to compare and analyze the fitting effect with that of the lognormal distribution, Gamma-Gamma distribution. The experimental results demonstrate that the fitting accuracy is higher than 99% using the dual Johnson \({S}_B\) distribution.

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Published
2024-12-22
DOI
https://doi.org/10.1145/3712335.3712366
Primary Topic
Optical Wireless Communication Technologies
Type
article
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article

Comparison of probability density functions for analyzing fluctuations in atmospheric turbulent light intensity

Zhi Liu, Nan Wang
Optical Wireless Communication Technologies
article

Comparison of probability density functions for analyzing fluctuations in atmospheric turbulent light intensity

Zhi Liu, Nan Wang
article en

Abstract

Many probability density functions (pdfs) are used to analyze the light intensity fluctuations. Based on the fiber-coupled receiving system, this paper proposes a dual Johnson \({S}_B\) (DJSB) distribution model, which is a four-parameter distribution based on the Johnson \({S}_B\) (JSB) distribution. The light intensity undulation data are collected by building an experimental platform, and the PDF model is fitted to the experimental data using the least-squares method to compare and analyze the fitting effect with that of the lognormal distribution, Gamma-Gamma distribution. The experimental results demonstrate that the fitting accuracy is higher than 99% using the dual Johnson \({S}_B\) distribution.

Changchun University of Science and Technology (CN)
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Optical Wireless Communication Technologies
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