Calibration technology for wide field of view star sensor

LI Mian-hong; DING Guo-peng; ZHENG Wei-bo

doi:10.13873/J.1000-9787(2015)07-0040-04

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Calibration technology for wide field of view star sensor

更新时间：2025-09-11

- Calibration technology for wide field of view star sensor
- Vol. 34, Issue 7, Pages: 40-43+47(2015)
- 作者机构：
  
  中国科学院上海技术物理研究所
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)07-0040-04
  CLC： V448.22
- Published：2015
- 稿件说明：
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[1]李勉洪,丁国鹏,郑伟波.大视场星敏感器标定技术[J].传感器与微系统,2015,34(07):40-43+47.

LI Mian-hong, DING Guo-peng, ZHENG Wei-bo. Calibration technology for wide field of view star sensor[J]. 2015, 34(7): 40-43+47.
[1]李勉洪,丁国鹏,郑伟波.大视场星敏感器标定技术[J].传感器与微系统,2015,34(07):40-43+47. DOI： 10.13873/J.1000-9787(2015)07-0040-04.

LI Mian-hong, DING Guo-peng, ZHENG Wei-bo. Calibration technology for wide field of view star sensor[J]. 2015, 34(7): 40-43+47. DOI： 10.13873/J.1000-9787(2015)07-0040-04.

摘要

星敏感器是一种高精度的空间姿态测量装置

精度标定是其高精度测量的重要保障。在分析影响大视场星敏感器测量误差因素的基础上

针对常用标定方法（如多项式畸变模型法和直接映射法）的缺点

提出遗传算法优化的BP神经网络算法进行大视场星敏感器标定。根据此方法建立了大视场星敏感器标定系统

并进行了实验测试。实验结果表明:该标定方法使得单星测角误差由标定前的0.14°降低到0.0053°

有效提高了大视场星敏感器测角精度

并且代码效率高、稳定性高。

Abstract

Star sensor is a high precision spacial attitude measurement device

precision calibration is important for high precision measurement. Wide field of view star sensor calibration system is built up based on analysis on the error factors that affect measuring error of star sensor

aiming at shortcomings of traditional calibration methods such as polynomial distortion models method and direct mapping method

propose BP neural network algorithm

an optimized genetic algorithm

to improve the BP neural network algorithm. Experimental results show that the angle measurement error of single star estimation decreases from 0. 14° to 0. 0053°

the method effectively improves single star estimation precision with good stability.

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Keywords

references

高精度星敏感器的标定 [J]. 乔培玉,何昕,魏仲慧,何家维. 红外与激光工程 . 2012(10)

星敏感器标定方法的研究现状与发展趋势 [J]. 孙高飞,张国玉,郑茹,杨孟飞,郝云彩. 长春理工大学学报(自然科学版) . 2010(04)

一种图像测量系统的现场标定和畸变校正方法 [J]. 刘力双,孙双花,吕乃光,邓文怡. 传感器与微系统 . 2008(05)

一种实用广角成像系统几何畸变数字实时校正方法 [J]. 邓雷,龚惠兴. 红外技术 . 2006(10)

星点图像超精度亚像元细分定位算法的研究 [J]. 李玉峰,郝志航. 光学技术 . 2005(05)

摄像机镜头非线性畸变校正方法综述 [J]. 杨必武,郭晓松. 中国图象图形学报 . 2005(03)

基于神经网络的摄像机畸变校正研究 [D]. 秦庆兵. 东北大学 2010

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