Modeling of atmospheric phase screens taking into account random wind dynamics
Abstract
A method for generating nonlinearly changing phase screens of atmospheric turbulence is presented, which is easy to implement and fast in computational load. The method is based on an autoregressive first-order model taking into account the displacement of screens under the influence of a crosswind. In contrast to the classical algorithm described in [1], the proposed approach preserves the correct von Karman spectrum and the physically justified coherence time τ₀ of fluctuations in the refractive index of the atmosphere. In contrast to the classical algorithm described in [1], the proposed approach preserves the correct von Karman spectrum and the physically justified coherence time τ₀ of fluctuations in the refractive index of the atmosphere.
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List of references
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