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An adaptive loop gain selection for CLEAN deconvolution algorithm
Zhang, Li1; Xu, Long2; Zhang, Ming3,4; Wu, Zhong-Zu5
2019-06-01
Source PublicationRESEARCH IN ASTRONOMY AND ASTROPHYSICS
ISSN1674-4527
Volume19Issue:6Pages:6
Corresponding AuthorZhang, Li(lizhang.science@gmail.com)
AbstractRadio interferometry significantly improves the resolution of observed images, and the final result also relies heavily on data recovery. The Cotton-Schwab CLEAN (CS-Clean) deconvolution approach is a widely used reconstruction algorithm in the field of radio synthesis imaging. However, parameter tuning for this algorithm has always been a difficult task. Here, its performance is improved by considering some internal characteristics of the data. From a mathematical point of view, a peak signal-to-noise-based (PSNR-based) method was introduced to optimize the step length of the steepest descent method in the recovery process. We also found that the loop gain curve in the new algorithm is a good indicator of parameter tuning. Tests show that the new algorithm can effectively solve the problem of oscillation for a large fixed loop gain and provides a more robust recovery.
Keywordmethods: data analysis techniques: image processing techniques: interferometric
DOI10.1088/1674-4527/19/6/79
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000470875400004
PublisherNATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
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Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/27555
Collection中国科学院紫金山天文台
Corresponding AuthorZhang, Li
Affiliation1.Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Guizhou, Peoples R China
2.Chinese Acad Sci, Key Lab Solar Act, Natl Astron Observ, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China
4.Chinese Acad Sci, Key Lab Radio Astron, Urumqi 830011, Peoples R China
5.Guizhou Univ, Coll Phys, Guiyang 550025, Guizhou, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Li,Xu, Long,Zhang, Ming,et al. An adaptive loop gain selection for CLEAN deconvolution algorithm[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2019,19(6):6.
APA Zhang, Li,Xu, Long,Zhang, Ming,&Wu, Zhong-Zu.(2019).An adaptive loop gain selection for CLEAN deconvolution algorithm.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,19(6),6.
MLA Zhang, Li,et al."An adaptive loop gain selection for CLEAN deconvolution algorithm".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 19.6(2019):6.
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