Propagation of radial Gaussian-Schell model beam array in non-Kolmogorov turbulence

Author(s):  
Hua Tang
Photonics ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 512
Author(s):  
Jiao Wang ◽  
Mingjun Wang ◽  
Sichen Lei ◽  
Zhenkun Tan ◽  
Chenbai Wang ◽  
...  

Partially coherent optical vortices have been applicated widely to reduce the influence of atmospheric turbulence, especially for free-space optical (FSO) communication. Furthermore, the beam array is an effective way to increase the power of the light source, and can increase the propagation distance of the FSO communication system. Herein, we innovatively report evolution properties of the radial phased-locked partially coherent vortex (RPLPCV) beam array in non-Kolmogorov turbulence. The analytical expressions for the cross-spectral density and the average intensity of an RPLPCV beam array propagated through non-Kolmogorov turbulence are obtained. The numerical results reveal that the intensity distribution of the RPLPCV array propagated in the non-Kolmogorov turbulence is gradually converted to a standard Gaussian distribution. In addition, the larger the radial radius, radial number and waist radius are, the smaller the coherence length is. Moreover, the longer the wavelength is, the shorter the propagation distance required for the intensity distribution of the RPLPCV beam array to be converted into a Gaussian distribution in the non-Kolmogorov turbulence. The research in this paper provides a theoretical reference for the selection of light sources and the suppression of turbulence effects in wireless optical communication.


2011 ◽  
Vol 28 (6) ◽  
pp. 1016 ◽  
Author(s):  
Hua Tang ◽  
Baolin Ou ◽  
Bin Luo ◽  
Hong Guo ◽  
Anhong Dang

2013 ◽  
Vol 63 (10) ◽  
pp. 1925-1931 ◽  
Author(s):  
Mehdi Sharifi ◽  
Bin Luo ◽  
Anhong Dang ◽  
Hong Guo ◽  
Guohua Wu

2013 ◽  
Vol 111 (1) ◽  
pp. 149-154 ◽  
Author(s):  
Hua Tang ◽  
Baoqiang Wang ◽  
Bin Luo ◽  
Anhong Dang ◽  
Hong Guo

2010 ◽  
Vol 35 (7) ◽  
pp. 1043 ◽  
Author(s):  
Pu Zhou ◽  
Yanxing Ma ◽  
Xiaolin Wang ◽  
Haichuan Zhao ◽  
Zejin Liu

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