Deep-Learning-Assisted Turbulence-Resistant 1024-Ary OAM-SK UOWC

We demonstrate a deep-learning-assisted turbulence-resistant 1024-ary OAM-SK UOWC system. BER of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.93 \times 10^{-3}$</tex> is experimentally observed under strong turbulence condition, when the training set is limited only to 1024 distorted images.

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Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110781
Citations
2
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
3.27

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article

Deep-Learning-Assisted Turbulence-Resistant 1024-Ary OAM-SK UOWC

Weiqing Lin, Dongmei Deng
2 citations
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
article

Deep-Learning-Assisted Turbulence-Resistant 1024-Ary OAM-SK UOWC

Weiqing Lin, Dongmei Deng
article en
2 citations

Abstract

We demonstrate a deep-learning-assisted turbulence-resistant 1024-ary OAM-SK UOWC system. BER of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.93 \times 10^{-3}$</tex> is experimentally observed under strong turbulence condition, when the training set is limited only to 1024 distorted images.

South China Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
DOISourceOpenAlex
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Deep-Learning-Assisted Turbulence-Resistant 1024-Ary OAM-SK UOWC — Weiqing Lin, Dongmei Deng · (2025) | TGRS Research Map | TGRS