Characterization of underwater optical turbulence caused by natural convection generated by Rayleigh-Bénard using machine learning
John Thomas,
Owen O'Malley,
Svetlana Avramov-Zamurovic
et al.
Abstract:Characterization of the optical turbulence of complex media is important to designing resilient free-space optical communication systems. Previous studies have used machine learning algorithms to characterize optical turbulence in the atmospheric environment, but we propose to extend this concept to the underwater medium. Our experimental design propagates a Gaussian beam ~1.25 meters through a Rayleigh-Bénard (RB) turbulence tank, which creates realistic optical turbulence that is fully controllable and repea… Show more
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