首页|High-resolution recognition of FOAM modes via an improved EfficientNet V2 based convolutional neural network
High-resolution recognition of FOAM modes via an improved EfficientNet V2 based convolutional neural network
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Vortex beam with fractional orbital angular momentum(FOAM)is the excellent candidate for improving the capacity of free-space optical(FSO)communication system due to its infinite modes.Therefore,the recognition of FOAM modes with higher resolution is always of great concern.In this work,through an improved EfficientNetV2 based convolutional neural network(CNN),we experimentally achieve the implementation of the recognition of FOAM modes with a resolution as high as 0.001.To the best of our knowledge,it is the first time this high resolution has been achieved.Under the strong atmospheric turbulence(AT)(Cn=10-15 m-2/3),the recognition accuracy of FOAM modes at 0.1 and 0.01 resolution with our model is up to 99.12％and 92.24％for a long transmission distance of 2000 m.Even for the resolution at 0.001,the recognition accuracy can still remain at 78.77％.This work provides an effective method for the recogni-tion of FOAM modes,which may largely improve the channel capacity of the free-space optical communication.
International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology,Institute of Microscale Optoelectronics,Shenzhen University,Shenzhen 518060,China
Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications,School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414006,China
Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education,Synergetic Innovation Center for Quantum Effects and Applications,School of Physics and Electronics,Hunan Normal University,Changsha 410081,China
National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaGuangdong Basic and Applied Basic Research FoundationShenzhen Government's Plan of Science and TechnologyShenzhen Government's Plan of Science and TechnologyTraining Program for Excellent Young innovators of Changsha
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