Paper
28 July 2010 Modeling and prediction of turbulence-induced wavefront distortions
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Abstract
In recent years various researchers have proposed an optimal control approach for the rejection of turbulence-induced wavefront distortions in an AO system. The essential element in the design of an optimal controller is the choice for the turbulence model, which predicts the turbulence to compensate for the inherent delay in the AO control loop. In this paper various models as proposed in literature are considered; ranging from first order temporal models to high-order full spatialtemporal models. The various models are analyzed and the resulting 1-step ahead predictors are derived. The performance of the predictors are compared for a von Kármán type of turbulence with frozen flow propagation in and time-varying propagation directions.
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Rufus Fraanje and Niek Doelman "Modeling and prediction of turbulence-induced wavefront distortions", Proc. SPIE 7736, Adaptive Optics Systems II, 773617 (28 July 2010); https://doi.org/10.1117/12.858076
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KEYWORDS
Autoregressive models

Turbulence

Wavefronts

Wave propagation

Signal to noise ratio

Adaptive optics

Filtering (signal processing)

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