High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering

Piston error is the main component of the co-phase errors of segmented telescopes. In this paper, we innovatively performed frequency domain filtering and processing on the focal plane image of the segmented telescopes with mask added, and obtained the image that only reflects the piston error betwe...

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Main Authors: Dequan Li, Dong Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10752339/
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author Dequan Li
Dong Wang
author_facet Dequan Li
Dong Wang
author_sort Dequan Li
collection DOAJ
description Piston error is the main component of the co-phase errors of segmented telescopes. In this paper, we innovatively performed frequency domain filtering and processing on the focal plane image of the segmented telescopes with mask added, and obtained the image that only reflects the piston error between each submirror and the reference submirror. The representation of feature image that reflects each submirror's piston error which obtained by this method is the same.Therefore, regardless of the number or the arrangement of submirrors, the single shallow convolutional neural network trained by any of the extracted submirror interference image dataset can be used to achieve high-precision detection of different submirror piston errors.Finally, simulation experiment results show the effectiveness of the proposed method.
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institution Kabale University
issn 1943-0655
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publishDate 2024-01-01
publisher IEEE
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series IEEE Photonics Journal
spelling doaj-art-7a8fafa8e5484cd2a33a74b68c501e3a2024-11-26T00:00:04ZengIEEEIEEE Photonics Journal1943-06552024-01-011661610.1109/JPHOT.2024.349718210752339High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain FilteringDequan Li0https://orcid.org/0000-0003-0229-5159Dong Wang1Space Optics Department, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, ChinaSpace Optics Department, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, ChinaPiston error is the main component of the co-phase errors of segmented telescopes. In this paper, we innovatively performed frequency domain filtering and processing on the focal plane image of the segmented telescopes with mask added, and obtained the image that only reflects the piston error between each submirror and the reference submirror. The representation of feature image that reflects each submirror's piston error which obtained by this method is the same.Therefore, regardless of the number or the arrangement of submirrors, the single shallow convolutional neural network trained by any of the extracted submirror interference image dataset can be used to achieve high-precision detection of different submirror piston errors.Finally, simulation experiment results show the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/10752339/Segmented telescopepiston sensingfrequency domain filtering
spellingShingle Dequan Li
Dong Wang
High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering
IEEE Photonics Journal
Segmented telescope
piston sensing
frequency domain filtering
title High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering
title_full High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering
title_fullStr High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering
title_full_unstemmed High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering
title_short High Precision Piston Error Sensing of Segmented Telescope Based on Frequency Domain Filtering
title_sort high precision piston error sensing of segmented telescope based on frequency domain filtering
topic Segmented telescope
piston sensing
frequency domain filtering
url https://ieeexplore.ieee.org/document/10752339/
work_keys_str_mv AT dequanli highprecisionpistonerrorsensingofsegmentedtelescopebasedonfrequencydomainfiltering
AT dongwang highprecisionpistonerrorsensingofsegmentedtelescopebasedonfrequencydomainfiltering