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- Title
Multiplexed orbital angular momentum beams demultiplexing using hybrid optical-electronic convolutional neural network.
- Authors
Ye, Jiachi; Kang, Haoyan; Cai, Qian; Hu, Zibo; Solyanik-Gorgone, Maria; Wang, Hao; Heidari, Elham; Patil, Chandraman; Miri, Mohammad-Ali; Asadizanjani, Navid; Sorger, Volker; Dalir, Hamed
- Abstract
Advancements in optical communications have increasingly focused on leveraging spatial-structured beams such as orbital angular momentum (OAM) beams for high-capacity data transmission. Conventional electronic convolutional neural networks exhibit constraints in efficiently demultiplexing OAM signals. Here, we introduce a hybrid optical-electronic convolutional neural network that is capable of completing Fourier optics convolution and realizing intensity-recognition-based demultiplexing of multiplexed OAM beams under variable simulated atmospheric turbulent conditions. The core part of our demultiplexing system includes a 4F optics system employing a Fourier optics convolution layer. This optical spatial-filtering-based convolutional neural network is utilized to realize the training and demultiplexing of the 4-bit OAM-coded signals under simulated atmospheric turbulent conditions. The current system shows a demultiplexing accuracy of 72.84% under strong turbulence scenarios with 3.2 times faster training time than all electronic convolutional neural networks. Optical beams carrying orbital angular momentum (OAM) are promising candidates for free-space optical communication. The authors devise a hybrid optical-electronic convolutional neural network approach reaching a 4-bit OAM-coded signal demultiplexing accuracy of 72.84% under strong atmospheric turbulence conditions with 3.2 times faster training time than all electronic convolutional neural network.
- Subjects
CONVOLUTIONAL neural networks; DEMULTIPLEXING; ANGULAR momentum (Mechanics); FREE-space optical technology; FOURIER transform optics; EYE-sockets; FETAL monitoring
- Publication
Communications Physics, 2024, Vol 7, Issue 1, p1
- ISSN
2399-3650
- Publication type
Article
- DOI
10.1038/s42005-024-01571-3