24 October 2017 High-resolution wavefront reconstruction using the frozen flow hypothesis
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Proceedings Volume 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation; 104631G (2017) https://doi.org/10.1117/12.2285379
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
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.
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Xuewen Liu, Xuewen Liu, Yonghui Liang, Yonghui Liang, Jin Liu, Jin Liu, Jieping Xu, Jieping Xu, } "High-resolution wavefront reconstruction using the frozen flow hypothesis", Proc. SPIE 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation, 104631G (24 October 2017); doi: 10.1117/12.2285379; https://doi.org/10.1117/12.2285379
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