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

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posted on 2023-01-10, 02:57 authored by G. A. Filimonov, M. A. Vorontsov
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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