Efficient channel modeling of structured light in turbulence using generative adversarial networks. Briantcev, D., Cox, M. A., Trichili, A., Drozdov, A. V., Ooi, B. S., & Alouini, M. Optics Express, 30(5):7238, The Optical Society, feb, 2022. ![Efficient channel modeling of structured light in turbulence using generative adversarial networks [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex We present a fast and efficient simulation method of structured light free space optics (FSO) channel effects from propagation through a turbulent atmosphere. In a system that makes use of multiple higher order modes (structured light), turbulence causes crosstalk between modes. This crosstalk can be described by a channel matrix, which usually requires a complete physical simulation or an experiment. Current simulation techniques based on the phase-screen approximation method are very computationally intensive and are limited by the accuracy of the underlying models. In this work, we propose to circumvent these limitations by using a data-driven approach for the decomposition matrix simulation with a conditional generative adversarial network (CGAN) synthetic simulator.
@article{Briantcev2022,
abstract = {We present a fast and efficient simulation method of structured light free space optics (FSO) channel effects from propagation through a turbulent atmosphere. In a system that makes use of multiple higher order modes (structured light), turbulence causes crosstalk between modes. This crosstalk can be described by a channel matrix, which usually requires a complete physical simulation or an experiment. Current simulation techniques based on the phase-screen approximation method are very computationally intensive and are limited by the accuracy of the underlying models. In this work, we propose to circumvent these limitations by using a data-driven approach for the decomposition matrix simulation with a conditional generative adversarial network (CGAN) synthetic simulator.},
author = {Briantcev, Dmitrii and Cox, Mitchell A. and Trichili, Abderrahmen and Drozdov, Alice V. and Ooi, Boon S. and Alouini, Mohamed-Slim},
doi = {10.1364/OE.448899},
issn = {1094-4087},
journal = {Optics Express},
month = {feb},
number = {5},
pages = {7238},
publisher = {The Optical Society},
title = {{Efficient channel modeling of structured light in turbulence using generative adversarial networks}},
url = {https://opg.optica.org/abstract.cfm?URI=oe-30-5-7238},
volume = {30},
year = {2022}
}
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