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Conferences > pcAOP > 2021 > PM2H > PM2H.1

Atmospheric Turbulence Characterization with DNN-Enhanced Electro-Optical Sensors

Mikhail Vorontsov, Artem Vorontsov, Ernst Polnau, and Grigorii Filimonov

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Abstract

A deep machine learning signal processing paradigm is applied for prediction of the atmospheric turbulence refractive index structure parameter Cn^2 via DNN-based processing of data received from electro-optical sensors and evaluation of the most prominent turbulence models.

© 2021 The Author(s)

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