| Title |
A High-accuracy Reconstruction Scheme of OAM Laguerre-Gaussian Beams in Subharmonic-compensated Non-Kolmogorov Turbulence |
| Authors |
문영제(Young Jae Moon) ; 정연호(Yeon Ho Chung) |
| DOI |
https://doi.org/10.5573/ieie.2025.62.4.7 |
| Keywords |
Laguerre-Gaussian beam; Non-Kolmogorov atmospheric turbulence; Orbital angular momentum; Residual U-Net; Subharmonic compensation |
| Abstract |
The orthogonality feature of orbital angular momentum can provide high data capacity by multiplexing data bits to optical beams. However, the beam phase and intensity distortion emerge when multiplexed vortices encounter atmospheric turbulence. This turbulence can be best expressed with subharmonic-compensated non-Kolmogorov turbulence model, considering both low- and high-frequency components of atmospheric turbulence for a statistically accurate depiction compared to conventional methods. Here, we propose a novel reconstruction method for Laguerre-Gaussian OAM beam phase and intensity profiles by synthesizing multi-task learning and residual U-Net architecture. The performance of the proposed reconstruction method is extensively evaluated using criteria such as validation loss, mean absolute error (MAE), structural similarity index metrics (SSIM), and peak signal-to-noise ratio (PSNR). Simulation results show the effectiveness of the proposed algorithm in subharmonic-compensated non-Kolmogorov turbulence model. |