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arXiv · 2210.01957

Towards an Artificial-Intelligence-Based Optical Scintillometer: Scaling Issue

G. A. Filimonov·M. A. Vorontsov
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Abstract

Atmospheric turbulence strength (Cn2 parameter) sensing based on processing of intensity scintillation patterns with deep neural network (DNN) is considered. It is shown that DNN re-training with propagation distance change can be avoided by scaling of Cn2 values obtained using a DNN trained for a nominal distance L0 . The required Cn2 scaling factor can be obtained using either an analytical expression derived from the Kolmogorov turbulence theory (theory-based scaling), or through wave-optics numerical modeling and simulations (M&S-based scaling).

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BibTeXRIS

G. A. Filimonov, M. A. Vorontsov. 2022-10-04. Towards an Artificial-Intelligence-Based Optical Scintillometer: Scaling Issue. https://arxiv.org/abs/2210.01957

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