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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Bibliographic Details
Published in:IEEE photonics journal 2024-12, Vol.16 (6), p.1-6
Main Authors: Li, Dequan, Wang, Dong
Format: Article
Language:English
Subjects:
Adaptive optics
Feature extraction
Filtering
frequency domain filtering
Frequency-domain analysis
Mirrors
Optical diffraction
Optical filters
Optical imaging
Optical reflection
piston sensing
Pistons
Segmented telescope
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Description
Summary: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.
ISSN:1943-0655
1943-0647
DOI:10.1109/JPHOT.2024.3497182