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A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path
In this paper, an atmospheric structure constant [Formula: see text] model is proposed for evaluating the channel turbulence degree of atmospheric laser communication. First, we derive a mathematical model for the correlation between the atmospheric coherence length [Formula: see text] , the isoplan...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347151/ https://www.ncbi.nlm.nih.gov/pubmed/37447724 http://dx.doi.org/10.3390/s23135874 |
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author | Yao, Haifeng Cao, Yuxi Wang, Weihao Jiang, Qingfang Cao, Jie Hao, Qun Liu, Zhi Zhang, Peng Chang, Yidi Zhang, Guiyun Geng, Tongtong |
author_facet | Yao, Haifeng Cao, Yuxi Wang, Weihao Jiang, Qingfang Cao, Jie Hao, Qun Liu, Zhi Zhang, Peng Chang, Yidi Zhang, Guiyun Geng, Tongtong |
author_sort | Yao, Haifeng |
collection | PubMed |
description | In this paper, an atmospheric structure constant [Formula: see text] model is proposed for evaluating the channel turbulence degree of atmospheric laser communication. First, we derive a mathematical model for the correlation between the atmospheric coherence length [Formula: see text] , the isoplanatic angle [Formula: see text] and [Formula: see text] using the Hufnagel–Valley (HV) turbulence model. Then, we calculate the seven parameters of the HV model with the actual measured [Formula: see text] and [Formula: see text] data as input quantities, so as to draw the [Formula: see text] profile and the [Formula: see text] profile. The experimental results show that the fitted average [Formula: see text] contours and single-day [Formula: see text] contours have superior fitting performance compared with our historical data, and the daily correlation coefficient between the single-day computed [Formula: see text] contours and the measured [Formula: see text] contours is up to 87%. This result verifies the feasibility of the proposed method. The results validate the feasibility of the proposed method and provide a new technical tool for the inversion of turbulence [Formula: see text] profiles. |
format | Online Article Text |
id | pubmed-10347151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103471512023-07-15 A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path Yao, Haifeng Cao, Yuxi Wang, Weihao Jiang, Qingfang Cao, Jie Hao, Qun Liu, Zhi Zhang, Peng Chang, Yidi Zhang, Guiyun Geng, Tongtong Sensors (Basel) Communication In this paper, an atmospheric structure constant [Formula: see text] model is proposed for evaluating the channel turbulence degree of atmospheric laser communication. First, we derive a mathematical model for the correlation between the atmospheric coherence length [Formula: see text] , the isoplanatic angle [Formula: see text] and [Formula: see text] using the Hufnagel–Valley (HV) turbulence model. Then, we calculate the seven parameters of the HV model with the actual measured [Formula: see text] and [Formula: see text] data as input quantities, so as to draw the [Formula: see text] profile and the [Formula: see text] profile. The experimental results show that the fitted average [Formula: see text] contours and single-day [Formula: see text] contours have superior fitting performance compared with our historical data, and the daily correlation coefficient between the single-day computed [Formula: see text] contours and the measured [Formula: see text] contours is up to 87%. This result verifies the feasibility of the proposed method. The results validate the feasibility of the proposed method and provide a new technical tool for the inversion of turbulence [Formula: see text] profiles. MDPI 2023-06-25 /pmc/articles/PMC10347151/ /pubmed/37447724 http://dx.doi.org/10.3390/s23135874 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Yao, Haifeng Cao, Yuxi Wang, Weihao Jiang, Qingfang Cao, Jie Hao, Qun Liu, Zhi Zhang, Peng Chang, Yidi Zhang, Guiyun Geng, Tongtong A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path |
title | A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path |
title_full | A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path |
title_fullStr | A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path |
title_full_unstemmed | A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path |
title_short | A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path |
title_sort | computational model of cn2 profile inversion for atmospheric laser communication in the vertical path |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347151/ https://www.ncbi.nlm.nih.gov/pubmed/37447724 http://dx.doi.org/10.3390/s23135874 |
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