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Orbital Angular Momentum (OAM) Recognition With Generative Adversarial Network (GAN) Based Atmospheric Modeling (Th1A.16)

Presenter: Chenda Lu, School of Electronic Engineering, State Key Laboratory of Information Photonics and Optical Communications, BUPT

We proposed a Generative Adversarial Network (GAN) based atmospheric modeling method which helps with the Orbital angular momentum (OAM) recognition to achieve better accuracy with limited data.

Authors:Chenda Lu, School of Electronic Engineering, State Key Laboratory of Information Photonics and Optical Communications, BUPT / Qinghua Tian, School of Electronic Engineering, State Key Laboratory of Information Photonics and Optical Communications, BUPT / Xiangjun Xin, School of Electronic Engineering, State Key Laboratory of Information Photonics and Optical Communications, BUPT / Lei Zhu, School of Electronic Engineering, State Key Laboratory of Information Photonics and Optical Communications, BUPT / Qi Zhang, School of Electronic Engineering, State Key Laboratory of Information Photonics and Optical Communications, BUPT / Haipeng Yao, Beijing Key Laboratory of Space-ground Interconnection and Convergence, BUPT / Huan Chang, Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology / Ran Gao, Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology


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