事件星敏感器自适应积分时间曲面算法  

Adaptive integration time surface algorithm for event-based star tracker

作　　者：朱立华 张强[1] 高建东 程向红[2] 杜忠华[1] ZHU Lihua;ZHANG Qiang;GAO Jiandong;CHENG Xianghong;DU Zhonghua(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;School of Instrument Science&Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]南京理工大学机械工程学院,南京210094 [2]东南大学仪器科学与工程学院,南京210096

出　　处：《中国惯性技术学报》2023年第10期1016-1022,共7页Journal of Chinese Inertial Technology

基　　金：国家自然科学基金(61803203)。

摘　　要：针对传统星敏感器在高动态环境下恒星成像模糊而造成的姿态跟踪失效的问题,提出了一种事件星敏感器自适应积分时间曲面算法,以获得高动态环境下清晰的星点成像。首先,基于事件流噪声特性,构建时空滤波器去除噪声。其次,设计了基于椭圆函数特征参数拟合方法,对虚拟帧内星点进行特征拟合,根据星点的几何形状特征进行积分时间的在线调节。最后,设计了多种动态环境实验。实验结果表明,所提算法可以构建出清晰的星点图像,在高动态环境下消除星点运动模糊。在角速度20°/s、线速度400 mm/s高动态环境下,与常用事件流积分方法相比,星对角距误差分别降低了77.9%和70.7%。Aiming at the attitude tracking failure issue of the traditional star tracker,which is caused by blurry star images in high dynamic environment,an adaptive integration time surface algorithm for event-based star tracker is proposed to obtain clear star point imaging in highly dynamic environment.Firstly,based on the noise characteristics of event streams,a spatiotemporal filter is constructed to remove the noise.Secondly,a fitting method based on elliptical function features is designed to fit the characteristics of star points within virtual frames.The integration time is adjusted online based on the geometric shape features of the star points.Finally,various experiments in dynamic environments are designed.The experimental results demonstrate that the proposed algorithm can generate clear star point images and effectively eliminate motion blur of star points in high-dynamic environment.In high-dynamic environment with an angular velocity of 20°/s and a linear velocity of 400 mm/s,compared to the commonly used event stream integration method,the angular distance error of the proposed algorithm is reduced by 77.9%and 70.7%,respectively.

关 键 词：星敏感器 高动态环境 姿态跟踪 事件相机 自适应积分 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]