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(英)光电成像系统的协同设计方法研究
引用本文:于清华,肖锡晟,陈凡胜,孙胜利.(英)光电成像系统的协同设计方法研究[J].红外与毫米波学报,2019,38(6):728-732.
作者姓名:于清华  肖锡晟  陈凡胜  孙胜利
作者单位:中国科学院上海技术物理研究所 红外智能感知重点实验室,中国科学院上海技术物理研究所 红外智能感知重点实验室,上海 200083;中国科学院大学,北京;100049,中国科学院上海技术物理研究所 红外智能感知重点实验室,上海 200083,中国科学院上海技术物理研究所 红外智能感知重点实验室,上海 200083
摘    要:在传统的光电成像系统设计中,光学子系统和电子学子系统是分开设计的.这导致两个子系统的参数化之间协调程度降低,导致子系统兼容性不完善.为了提高各子系统之间的兼容性,缩短设计时间,减少开发成本,本文提出了一种协同设计方法.在端到端光电性能评价的基础上,采用多目标多参数优化算法对光电成像系统的配置参数进行优化.利用该方法对空间红外成像系统配置参数进行了优化,且获得良好在轨成像效果.结果表明,该方法对优化光电成像系统的参数配置,评价光电成像系统的性能具有积极的作用.

关 键 词:成像系统  协同设计方法  端到端评价,杂散光
收稿时间:2019/3/26 0:00:00
修稿时间:2019/11/22 0:00:00

Co-design method for electro-optical imaging systems
YU Qing-Hu,XIAO Xi-Sheng,CHEN Fan-Sheng and SUN Sheng-Li.Co-design method for electro-optical imaging systems[J].Journal of Infrared and Millimeter Waves,2019,38(6):728-732.
Authors:YU Qing-Hu  XIAO Xi-Sheng  CHEN Fan-Sheng and SUN Sheng-Li
Affiliation:Key Laboratory of Intelligent Infrared Perception,Shanghai Institute of Technical Physics, Chinese Academy of Sciences,Key Laboratory of Intelligent Infrared Perception,Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Intelligent Infrared Perception,Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China and Key Laboratory of Intelligent Infrared Perception,Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Abstract:In the traditional design of electro-optical imaging systems, the optical and electronic subsystems are designed separately. This leads to a reduction in the level of coordination between the parameterization of the both subsystems, resulting in imperfect subsystem compatibility. In order to improve the compatibility between subsystems, shorten a design time and reduce the developments, we propose a co-design method. Based on the end-to-end optoelectronic performance evaluation, the multi-objective and multi-parameter optimization algorithm is used to optimize the configuration parameters of the optoelectronic subsystem. A space infrared imaging system was optimized by this method and imaged good pictures in orbit. The results show that the method has a positive role in optimizing the configuration parameters of the electro-optical imaging system and evaluating the performance of the electro-optical imaging system.
Keywords:imaging systems  co-design method  end-to-end evaluation  stray light  
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