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星敏感器在大角速度转动时引起的星像降质不能忽略,采用了3种技术以补偿、消除这种影响。首先,用姿态估计和共线方程预测星像块中心位置和长度。其次,挑选视场内6～8个较亮的星像块,以预测的星像块位置为搜索起始点,块匹配算法可快速获得像素量级的像移,建立像移模型。同时,对相邻帧匹配的星像块的输出相加以提高信噪比。采用以上两项技术后,只需处理星图像中很少一部分像素,从而保证了实时性。最后,采用空间域像移补偿法,根据运动模糊的逆过程直接进行补偿,并给出了仿真结果。
Star sensor rotation caused by high-speed star image degradation can not be ignored, the use of three kinds of techniques to compensate to eliminate this effect. First, pose estimation and co-linear equations are used to predict the position and length of the star center. Secondly, 6 to 8 bright star blocks in the field of view are selected, and the predicted star block position is taken as the searching start point. The block matching algorithm can rapidly obtain the pixel-level image shift and establish the image shift model. At the same time, the output of the matching star blocks of adjacent frames is added to improve the signal-to-noise ratio. With the above two techniques, only a few pixels of the star image are processed, thus ensuring real-time performance. Finally, using the compensation method of spatial domain image shift compensation, according to the inverse of the motion blur directly compensation, and gives the simulation results.