Using Hybrid Optical-Electronic Neural Network for Demultiplexing Multiplexed Orbital Angular Momentum Beams
Here, we introduce a hybrid optical-electronic neural network to demultiplex the multiplexed orbital angular momentum (OAM) beams under various atmospheric turbulence conditions. Current results show a demultiplexing accuracy of 71.56% under strong turbulence levels.
Authors
- Hamed Dalir
- Haoyan Kang (ORCID: https://orcid.org/0000-0002-9250-6046)
- Elham Heidari (ORCID: https://orcid.org/0000-0003-2966-2799)
- Belal Jahannia (ORCID: https://orcid.org/0009-0009-7924-3366)
- Chandraman Patil (ORCID: https://orcid.org/0000-0001-6362-920X)
- Navid Asadizanjani (ORCID: https://orcid.org/0000-0002-7097-4463)
- Jiachi Ye (ORCID: https://orcid.org/0009-0004-5370-1350)
- Hao Wang (ORCID: https://orcid.org/0000-0002-0444-6750)
Institutions
- University of Florida (US)
Publication Details
- Published
- 2024-08-14
- DOI
- https://doi.org/10.1109/rapid60772.2024.10646945
- Primary Topic
- Optical Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00