Simulating long-range atmospheric turbulence in the laboratory with an artificial turbulence simulator

被引:0
|
作者
Tan, Wei [1 ,2 ]
Huang, Feng [1 ]
Li, Ting [1 ]
Huang, Xianwei [2 ]
Nan, Suqin [3 ]
Bai, Yanfeng [2 ]
Fu, Xiquan [2 ]
机构
[1] Hunan Inst Engn, Sch Elect & Informat Engn, Xiangtan 411104, Peoples R China
[2] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China
[3] Hunan Univ Technol & Business, Sch Comp Sci, Changsha 410205, Peoples R China
基金
中国国家自然科学基金;
关键词
LIGHT-PROPAGATION; BEAM-PROPAGATION; OPTICAL COMMUNICATION; MODEL BEAMS; SCINTILLATION; FLUCTUATIONS; INTENSITY; DETECTOR; WANDER; FIELD;
D O I
10.1364/JOSAA.555819
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Atmospheric turbulence is the predominant propagation medium in random environments, significantly impacting beam propagation, particularly over long distances. In this study, we establish an equivalent experimental setup in the laboratory to simulate long-range atmospheric turbulence. The experiment employs a water tank, a wave maker, and a transparent perforated plate to generate turbulence with predetermined scales. We investigate the behavior of a laser beam propagating through a random environment induced by water flow from various directions. The scintillation index and RMS displacement of the beam's hot spot at the receiver are utilized to characterize the influence of water turbulence on light intensity fluctuations and beam wander, respectively. By inverting the intensity of water turbulence based on scintillation index and beam wander measurements, we observe an error magnitude less than one order of magnitude between them. Compared to atmospheric turbulence, our laboratory-generated water turbulence is four orders of magnitude stronger. This work establishes an equivalent connection between atmospheric turbulence and water turbulence, enabling realistic simulation of long-range laser propagation under actual atmospheric conditions. (c) 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI)training, and similar technologies, are reserved.
引用
收藏
页码:395 / 400
页数:6
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