光学技术, 2014, 40 (4): 316, 网络出版: 2014-06-30
基于维纳滤波的运动模糊星图复原仿真分析
Simulation analysis on star image restoration of motion blur based on Wiener filtering
摘要
针对航天器快速移动时星敏感器所摄取的星空图像出现运动模糊这一问题, 提出了一种基于维纳滤波的星图复原方法。分析了各模糊参数对质心提取精度的影响, 通过仿真实验得到模糊星图复原前后的质心提取精度和定姿精度的对比数据。实验结果表明, 复原后的星图可以显著提高星图的质心提取精度和定姿精度, 可有效地提高星图识别的成功率。
Abstract
The star image obtained by star sensor is blurred when spacecraft makes rapid maneuver. Based on Wiener filtering, a star image restoration algorithm is proposed. The influence of blur parameters on the accuracy of star centroid estimation is analysed. The comparison data of star centroid estimation accuracy and attitude estimation accuracy of blurred star image and restored star image are obtained through extensive experiments. Simulation results show that the restored star image can significantly improve the accuracy of star centroid estimation and attitude estimation, and effectively improve the success rate of star image recognition.
韩礼, 张力军, 蔡洪, 张士峰. 基于维纳滤波的运动模糊星图复原仿真分析[J]. 光学技术, 2014, 40(4): 316. HAN Li, ZHANG Lijun, CAI Hong, ZHANG Shifeng. Simulation analysis on star image restoration of motion blur based on Wiener filtering[J]. Optical Technique, 2014, 40(4): 316.