Piston error correction of sparse aperture systems using the metaheuristic stochastic parallel gradient descent algorithm
Yang, Kaiyuan1,3; Xie, Zongliang1,2; Ma, Haotong1,3; Hu, Hongyi1,3; Qi, Bo1,3; Shi, Jianliang1,3; Wang, Qiang1,3; Lv, Wenyi1,3
刊名Applied Optics
2020-08-01
卷号59期号:22页码:6505-6516
ISSN号1559-128X
DOI10.1364/AO.394501
文献子类期刊论文
英文摘要The next generation of optical telescopes will provide high-resolution imaging of celestial objects by using the aperture synthesis technique. To preserve the quality of the image, fast corrections of the pistons among subapertures have to be applied, namely, the co-phasing of the array. The image-based co-phasing method via an optimization procedure has been newly developed. Despite simplicity and strong commonality, when dealing with large piston errors, this correction method is also faced with a problem in which the metric function easily falls into the local convergence, especially in the case of broadband imaging with many subapertures. In this study, an improved stochastic parallel gradient descent (SPGD) algorithm based on heuristic search is proposed for co-phasing, termed the metaheuristic SPGD algorithm. The heuristic research scheme assists the original SPGD algorithm in getting rid of local extrema. By iterations of this algorithm, the synthetic system can be co-phased without any additional instruments and operations. The effectiveness of the proposed algorithm is verified by means of simulation. Given the efficiency and superiority, it is expected that the method proposed in this study may find wide applications in multi-aperture imaging. © 2020 Optical Society of America
出版地WASHINGTON
WOS关键词DISPERSED FRINGE SENSOR ; SEGMENTED MIRRORS ; KECK TELESCOPES
WOS研究方向Optics
语种英语
出版者OPTICAL SOC AMER
WOS记录号WOS:000571442700042
内容类型期刊论文
源URL[http://ir.ioe.ac.cn/handle/181551/10034]  
专题光电技术研究所_光电工程总体研究室(一室)
作者单位1.Key Laboratory of Optical Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China;
2.State Key Laboratory of Pulsed Power Laser Technology, Hefei; 230037, China
3.University of Chinese Academy of Sciences, Beijing; 100039, China;
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GB/T 7714
Yang, Kaiyuan,Xie, Zongliang,Ma, Haotong,et al. Piston error correction of sparse aperture systems using the metaheuristic stochastic parallel gradient descent algorithm[J]. Applied Optics,2020,59(22):6505-6516.
APA Yang, Kaiyuan.,Xie, Zongliang.,Ma, Haotong.,Hu, Hongyi.,Qi, Bo.,...&Lv, Wenyi.(2020).Piston error correction of sparse aperture systems using the metaheuristic stochastic parallel gradient descent algorithm.Applied Optics,59(22),6505-6516.
MLA Yang, Kaiyuan,et al."Piston error correction of sparse aperture systems using the metaheuristic stochastic parallel gradient descent algorithm".Applied Optics 59.22(2020):6505-6516.
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