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  4. Modeling dynamic atmospheric turbulence using temporal spectra and Karhunen-Loève decomposition
 
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2017
Journal Article
Title

Modeling dynamic atmospheric turbulence using temporal spectra and Karhunen-Loève decomposition

Abstract
We introduce a method for creating temporally evolving wavefront distortions that uses Karhunen-Loève (K-L) decomposition and the associated temporal power spectra. We model the single- and multilayer cases for horizontal and vertical paths, for which spherical and plane-wave geometries must be assumed, respectively. Simulation results confirming correct representation of the spatial and temporal statistics are presented. We demonstrate that the method is able to produce dynamic wavefronts that follow the behavior predicted by the theory while introducing key advantages in terms of storage in computer memory.
Author(s)
Anzuola, Esdras
Gladysz, Szymon  
Journal
Optical engineering  
DOI
10.1117/1.OE.56.7.071508
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • atmospheric turbulence

  • imaging through turbulent media

  • dynamic turbulence

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