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A Computational Model of Cn2 Profile Inversion for Atmospheric Laser Communication in the Vertical Path.

Authors :
Yao, Haifeng
Cao, Yuxi
Wang, Weihao
Jiang, Qingfang
Cao, Jie
Hao, Qun
Liu, Zhi
Zhang, Peng
Chang, Yidi
Zhang, Guiyun
Geng, Tongtong
Source :
Sensors (14248220). Jul2023, Vol. 23 Issue 13, p5874. 13p.
Publication Year :
2023

Abstract

In this paper, an atmospheric structure constant C n 2 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 r 0 , the isoplanatic angle θ 0 and C n 2 using the Hufnagel–Valley (HV) turbulence model. Then, we calculate the seven parameters of the HV model with the actual measured r 0 and θ 0 data as input quantities, so as to draw the C n 2 profile and the θ 0 profile. The experimental results show that the fitted average C n 2 contours and single-day C n 2 contours have superior fitting performance compared with our historical data, and the daily correlation coefficient between the single-day computed θ 0 contours and the measured θ 0 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 C n 2 profiles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
13
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
164941273
Full Text :
https://doi.org/10.3390/s23135874