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30 July 2018 Limits of turbulence and outer scale profiling with non-Kolmogorov statistics
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Abstract
SLODAR (SLOpe Detection And Ranging) methods recover the atmospheric turbulence profile from cross-correlations of wavefront sensor (WFS) measurements, based on known turbulence models. Our work grows out of several experiments showing that turbulence statistics can deviate significantly from the classical Kolmogorov/ von Kármán models, especially close to the ground. We present a novel SLODAR-type method which simultaneously recovers both the turbulence profile in the atmosphere and the turbulence statistics at the ground layer - namely the slope of the spatial frequency power law. We consider its application to outer scale (L0)- reconstruction and investigate the limits of the joint estimation of such parameters.
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Jonatan Lehtonen, Carlos M. Correia, and Tapio Helin "Limits of turbulence and outer scale profiling with non-Kolmogorov statistics", Proc. SPIE 10703, Adaptive Optics Systems VI, 107036C (30 July 2018); https://doi.org/10.1117/12.2313960
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