Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms | |
L. Guo; G. H. Ju; B. Q. Xu; X. Q. Bai; Q. Y. Meng; F. Y. Jiang and S. Y. Xu | |
刊名 | Sensors |
2022 | |
卷号 | 22期号:15页码:13 |
DOI | 10.3390/s22155584 |
英文摘要 | Phase retrieval wavefront sensing methods are now of importance for imaging quality maintenance of space telescopes. However, their accuracy is susceptible to line-of-sight jitter due to the micro-vibration of the platform, which changes the intensity distribution of the image. The effect of the jitter shows some stochastic properties and it is hard to present an analytic solution to this problem. This paper establishes a framework for jitter-robust image-based wavefront sensing algorithm, which utilizes two-dimensional Gaussian convolution to describe the effect of jitter on an image. On this basis, two classes of jitter-robust phase retrieval algorithms are proposed, which can be categorized into iterative-transform algorithms and parametric algorithms, respectively. Further discussions are presented for the cases where the magnitude of jitter is unknown to us. Detailed simulations and a real experiment are performed to demonstrate the effectiveness and practicality of the proposed approaches. This work improves the accuracy and practicality of the phase retrieval wavefront sensing methods in the space condition with non-ignorable micro-vibration. |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ciomp.ac.cn/handle/181722/66784] |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | L. Guo,G. H. Ju,B. Q. Xu,et al. Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms[J]. Sensors,2022,22(15):13. |
APA | L. Guo,G. H. Ju,B. Q. Xu,X. Q. Bai,Q. Y. Meng,&F. Y. Jiang and S. Y. Xu.(2022).Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms.Sensors,22(15),13. |
MLA | L. Guo,et al."Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms".Sensors 22.15(2022):13. |
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