Phase diversity method based on an improved particle swarm algorithm used in co-phasing error detection
文献类型：期刊论文
| 作者 | Ge, Yingjian1,2,3; Wang, Shengqian1,3; Xian, Hao1,3 |
| 刊名 | Applied Optics
 |
| 出版日期 | 2020-11-01 |
| 卷号 | 59期号:31页码:9735-9743 |
| ISSN号 | 1559-128X |
| DOI | 10.1364/AO.404707 |
| 文献子类 | 期刊论文 |
| 英文摘要 | The phase diversity (PD) algorithm is an image-based co-phasing error detection method for segmented mirror synthetic aperture optical systems. Particle swarm optimization (PSO) is suitable for PD for its fast convergence speed and simple structure. However, with the increase of the numbers of subapertures, optimization of cost function formed by the PD algorithm becomes a high-dimension non-linear optimization problem, which would lead PSO to result in a premature solution. Regarding the problem above, this paper presented a modified PSO in the PD algorithm to co-phase the segmented primary mirror, which overcame drawbacks of the traditional PSO, such as premature convergence and deactivation of particles, and enhanced the dig ability of the algorithm. Vast simulation results show that the modified PSO in the PD algorithm can effectively restore the segmented primary mirror, reducing the peak-to-valley (PV) value to 0.0012λ and the root mean square error to 0.0007λ, and raising the Strehl ratio to over 0.999. A comparison was also conducted to show that the modified PSO has advantages over two existing algorithms in higher accuracy and faster convergence speed. © 2020 Optical Society of America |
| 出版地 | WASHINGTON |
| WOS关键词 | MICROSCOPY AO-STORM ; SEGMENTED MIRROR ; RETRIEVAL |
| WOS研究方向 | Optics |
| 语种 | 英语 |
| WOS记录号 | WOS:000583718000013 |
| 出版者 | OPTICAL SOC AMER |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/10165]  |
| 专题 | 光电技术研究所_自适应光学技术研究室（八室） |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing; 100049, China 2.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China; 3.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; |
| 推荐引用方式 GB/T 7714 | Ge, Yingjian,Wang, Shengqian,Xian, Hao. Phase diversity method based on an improved particle swarm algorithm used in co-phasing error detection[J]. Applied Optics,2020,59(31):9735-9743. |
| APA | Ge, Yingjian,Wang, Shengqian,&Xian, Hao.(2020).Phase diversity method based on an improved particle swarm algorithm used in co-phasing error detection.Applied Optics,59(31),9735-9743. |
| MLA | Ge, Yingjian,et al."Phase diversity method based on an improved particle swarm algorithm used in co-phasing error detection".Applied Optics 59.31(2020):9735-9743. |
入库方式： OAI收割
来源：光电技术研究所
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