(英)光电成像系统的协同设计方法研究
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1.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;2.中国科学院大学,北京;100049

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Co-design method for electro-optical imaging systems
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Affiliation:

1.Key Laboratory of Intelligent Infrared Perception,Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;2.University of Chinese Academy of Sciences, Beijing 100049, China

Fund Project:

Youth Innovation Promotion Association of the Chinese Academy of Sciences 2015192;The equipment department of the space system department 30508020216Supported by Youth Innovation Promotion Association of the Chinese Academy of Sciences (2015192); The equipment department of the space system department (30508020216).

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    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.

    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.

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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]. YU Qing-Hua, XIAO Xi-Sheng, CHEN Fan-Sheng, SUN Sheng-Li. Co-design method for electro-optical imaging systems[J]. J. Infrared Millim. Waves,2019,38(6):728~732.]

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  • 收稿日期:2019-03-26
  • 最后修改日期:2019-11-22
  • 录用日期:2019-07-11
  • 在线发布日期: 2019-12-06
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