XAO OpenIR  > 110米口径全可动射电望远镜(QTT)  > 技术成果
Untrained single scanning phase retrieval neural network for surface deformation measurement of large-aperture antennas
Zhang, Zihan1; Ye, Qian2; Wang, Na3; Meng, Guoxiang1
2024-12-01
Source PublicationOPTICS AND LASERS IN ENGINEERING
ISSN0143-8166
Volume183Pages:108525
Contribution Rank3
AbstractResearch on data-driven Fourier phase retrieval neural networks is well-established. However, in many practical applications, such as phase retrieval-based antenna surface deformation measurements in astronomy, obtaining a sufficient number of ground truth images for training is unlikely. In this paper, we propose a purely physics-driven neural network model for retrieving the aperture-field phase of large antennas. This is accomplished through the integration of the physical model describing the interaction between the aperture-field and the far-field with the neural network. Our simulations and experiments demonstrate accurate reconstruction of the aperture-field phase using only a single far-field intensity image. Furthermore, we present a solution tailored for scenarios with low signal-to-noise ratio.
KeywordAntenna surface measurement Phase retrieval Untrained deep learning
DOI10.1016/j.optlaseng.2024.108525
Indexed BySCI
Language英语
WOS KeywordRADIO HOLOGRAPHY ; SYSTEM ; FOCUS
Funding ProjectNational Key Basic Research and De-velopment Program of China[2021YFC2203501] ; National Natural Science Foundation of China[U1931137]
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:001301535300001
PublisherELSEVIER SCI LTD
Funding OrganizationNational Key Basic Research and De-velopment Program of China ; National Natural Science Foundation of China
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.xao.ac.cn/handle/45760611-7/6954
Collection110米口径全可动射电望远镜(QTT)_技术成果
Corresponding AuthorYe, Qian
Affiliation1.Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
2.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
3.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Xinjiang, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Zihan,Ye, Qian,Wang, Na,et al. Untrained single scanning phase retrieval neural network for surface deformation measurement of large-aperture antennas[J]. OPTICS AND LASERS IN ENGINEERING,2024,183:108525.
APA Zhang, Zihan,Ye, Qian,Wang, Na,&Meng, Guoxiang.(2024).Untrained single scanning phase retrieval neural network for surface deformation measurement of large-aperture antennas.OPTICS AND LASERS IN ENGINEERING,183,108525.
MLA Zhang, Zihan,et al."Untrained single scanning phase retrieval neural network for surface deformation measurement of large-aperture antennas".OPTICS AND LASERS IN ENGINEERING 183(2024):108525.
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