Abstract: The tail problem of star sensor in high dynamic condition reduces the signal to noise ratio and affects the accuracy of the product attitude measurement. This paper designs a method of star sensor image stabilization. The angular velocity of star sensor is obtained by gyro. During the exposure of star sensor, the image stabilization can be realized by using image surface driver to drive the motion compensation of imaging chip. It can reduce or even eliminate the tail, and improve the measurement accuracy of star sensor under dynamic condition. The experimental results show that the accuracy of the star sensor is 57.2% higher than that before the image stabilization compensation. There are obvious advantages over the multi frame superposition algorithm. The Gaussian radius, energy peak and correlation coefficient of star point also improve significantly compared with these indexes before image stabilization. The method can be widely used in star sensors and other photoelectric imaging instruments with high dynamic application scenarios.

Key words: star sensor, high dynamic, tailing, image stabilization, centering precision