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Proceedings Paper

Filtered fractional Brownian motion as a model for atmospherically induced wavefront distortions
Author(s): George J. M. Aitken; Delphine Rossille; Donald R. McGaughey
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Paper Abstract

Atmospherically-induced wavefront distortions that follow a Kolmogorov power spectral density has a spatial and temporal behaviour best described as a fractional Brownian motion (FBM) process. FBM is persistent and has a considerable degree of predictability, but its slopes are antipersistent and are not easily predicted by conventional means. However, previous measurements have shown that there is a exploitable degree of persistence and predictability in wavefront slopes. In this paper we describe how lowpass-filtered FBM can model the spectral, temporal and predictive properties of distorted wavefronts. Implications for closed-loop adaptive optics systems will be discussed.

Paper Details

Date Published: 23 September 1997
PDF: 10 pages
Proc. SPIE 3125, Propagation and Imaging through the Atmosphere, (23 September 1997); doi: 10.1117/12.279028
Show Author Affiliations
George J. M. Aitken, Queen's Univ. (Canada)
Delphine Rossille, Queen's Univ. (Canada)
Donald R. McGaughey, Queen's Univ. (Canada)


Published in SPIE Proceedings Vol. 3125:
Propagation and Imaging through the Atmosphere
Luc R. Bissonnette; Christopher Dainty, Editor(s)

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