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Proceedings Paper

High-resolution wavefront reconstruction using the frozen flow hypothesis
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Paper Abstract

This paper describes an approach to reconstructing wavefronts on finer grid using the frozen flow hypothesis (FFH), which exploits spatial and temporal correlations between consecutive wavefront sensor (WFS) frames. Under the assumption of FFH, slope data from WFS can be connected to a finer, composite slope grid using translation and down sampling, and elements in transformation matrices are determined by wind information. Frames of slopes are then combined and slopes on finer grid are reconstructed by solving a sparse, large-scale, ill-posed least squares problem. By using reconstructed finer slope data and adopting Fried geometry of WFS, high-resolution wavefronts are then reconstructed. The results show that this method is robust even with detector noise and wind information inaccuracy, and under bad seeing conditions, high-frequency information in wavefronts can be recovered more accurately compared with when correlations in WFS frames are ignored.

Paper Details

Date Published: 24 October 2017
PDF: 6 pages
Proc. SPIE 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation, 104631G (24 October 2017); doi: 10.1117/12.2285379
Show Author Affiliations
Xuewen Liu, National Univ. of Defense Technology (China)
Yonghui Liang, National Univ. of Defense Technology (China)
Jin Liu, National Univ. of Defense Technology (China)
Jieping Xu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10463:
AOPC 2017: Space Optics and Earth Imaging and Space Navigation
Carl Nardell; Suijian Xue; Huaidong Yang, Editor(s)

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