Presentation + Paper
19 October 2023 Optical demultiplexing with fractal-structured beams in turbulent atmospheric environments
Xiaojing Weng, Luat T. Vuong
Author Affiliations +
Abstract
When information is spatially repeated in self-similar fractal beam patterns, only a portion of the diffracted beam is needed to reconstruct the kernel data. What is unique to a fractal-encoding scheme is that the image demultiplexing process can be, to a first approximation, easily performed optically. In prior work, we experimentally and numerically study fractal-encoded optical beams and their mid- and far-field propagation without added turbulence. Here, we present preliminary simulations of fractal-encoded beams with high turbulence (C2n ≥ 10−14 m−2/3 ) where we achieve respectable bit error rates of 10−3 . These results are impressive given that: data with low fractal orders is shown, simple threshold-algorithms are used (i.e., no machine learning), and only a third of the beam, off-axis, is needed. More robust channel encoding is associated with increased fractal orders, larger collection areas, and higher kernel singular value decomposition entropy.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaojing Weng and Luat T. Vuong "Optical demultiplexing with fractal-structured beams in turbulent atmospheric environments", Proc. SPIE 12731, Environmental Effects on Light Propagation and Adaptive Systems VI, 127310L (19 October 2023); https://doi.org/10.1117/12.2684797
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KEYWORDS
Receivers

Atmospheric propagation

Fractal analysis

Signal to noise ratio

Multiplexing

Neural networks

Simulations

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