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Learning to recognize misaligned hyperfine orbital angular momentum modes 被引量:2
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作者 Xiao Wang Yufeng Qian +8 位作者 JingJing Zhang Guangdong Ma shupeng zhao RuiFeng Liu Hongrong Li Pei Zhang Hong Gao Feng Huang Fuli Li 《Photonics Research》 SCIE EI CAS CSCD 2021年第4期I0001-I0006,共6页
Orbital angular momentum(OAM)-carrying beams have received extensive attention due to their high-dimensional characteristics in the context of free-space optical communication.However,accurate OAM mode recognition sti... Orbital angular momentum(OAM)-carrying beams have received extensive attention due to their high-dimensional characteristics in the context of free-space optical communication.However,accurate OAM mode recognition still suffers from reference misalignment of lateral displacement,beam waist size,and initial phase.Here we propose a deep-learning method to exquisitely recognize OAM modes under misalignment by using an alignment-free fractal multipoint interferometer.Our experiments achieve 98.35% recognizing accuracy when strong misalignment is added to hyperfine OAM modes whose Bures distance is 0.01.The maximum lateral displacement we added with respect to the perfectly on-axis beam is about±0.5 beam waist size.This work offers a superstable proposal for OAM mode recognition in the application of free-space optical communication and allows an increase of the communication capacity. 展开更多
关键词 INTERFEROMETER MOMENTUM BEAM
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