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Space situational awareness system based on bionic polarization feature sensing and navigation information fusion

  • role： First author第一作者
  • Email：yz-dpi@tsinghua.edu.cn
  • Introduction：尤政，1963年生，男，教授，中国工程院院士，研究方向为精密仪器及机械、微电机系统(MEMS)的技术和应用。E-mail：yz-dpi@tsinghua.edu.cn
Zheng YOU,  
  • role： Corresponding author通信作者
  • Email：kaichunz@tsinghua.edu.cn
  • Introduction：赵开春，1973年生，男，副研究员，研究方向为微纳卫星技术、微型仿生偏振姿态敏感器及集成技术。E-mail：kaichunz@tsinghua.edu.cn
Kaichun ZHAO*

résumé

The development of novel principle photoelectric detection system is an important part of the construction of space situation awareness system. The imaging polarimetry has become a powerful tool to enhance the information available in a variety of space remote sensing applications. This paper presents a new space situational awareness system by imitating the structure and function of biology in nature. Inspired by the information awareness and navigation mechanism of the insect, birds and fish, we explore the science problem about environments information awareness and location measurement by means of model simulation, prototype construction and experimental verification, which based on the bionic polarization vision system. Bionic situational awareness system which fused the polarization image feature and navigation information is suggested. The information fusion and error analysis model based on bionic information perception and navigation is presented. A situational awareness prototype fused space feature acquisition and navigation is built up, the data update rate is higher than 25 Hz, and the angle measurement repeatability is within 0.05°. Polarization imaging situational awareness system function experimental results show that the bionic polarization detection method can reveal more details about the target feature information and enhance the effect of space target detection effectively, which fused the target light intensity, polarization degree and polarization azimuth information.

mots-clés

polarization detection;situational awareness;bionic vision;information perception;position measurement

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