摘要
白昼恒星探测技术是船载星光定向仪海上应用的关键技术之一.本文基于实测星图给出白昼恒星探测技术的理论公式和实现方案.该技术针对实测红外星图中的背景噪声、伪星点、坏像素、对灰度背景的适应性问题,分别设计星图滤波算法、多帧伪星点剔除算法、坏像素索引表以及多梯度渐进积分时间调整算法.通过外场观星和组合导航实验验证该技术的有效性和精度.
Daytime star detection algorithm is one of the critical technologies in ship navigation star sensor. The theoretical derivations and the implementation method of the daytime stellar detection algorithm are given based on star maps. Several practical aspects of the algorithms such as the star map filter,the multi-frame processing,the index table of blind pixels and the multi-gradient integral time regulation are designed,to resolve the technical problems like the infrared background noise,the pseudo stars,the detector blind pixels and the adaptability of algorithm with grey background accordingly. The algorithm is effectively verified through field star observation and integrated navigation experiment.
作者
夏梦绮
卢欣
张春明
孙大开
XIA Mengqi;LU Xin;ZHANG Chunming;SUN Dakai(Beijing Institute of Control Engineering,Beijing 100190,China.)
出处
《空间控制技术与应用》
CSCD
北大核心
2018年第3期67-72,共6页
Aerospace Control and Application
基金
国家重大仪器专项资助项目(2013YQ310799)~~
关键词
天文导航
白昼恒星探测
红外波段
定位定向
蒙气差
celestial navigation
daytime stellar detection
infrared band
position and orientation
atmos-pheric refraction
