Improving Dynamic Accuracy of Star Sensor Based on Image Stabilization

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.

This article proposes an image stabilization technique based on gyroscopes and image plane drivers to address the issue of accuracy degradation caused by star sensor tailing under high dynamic conditions. Experimental verification shows that after image stabilization compensation, multiple indicators such as star point centering accuracy, Gaussian radius, energy peak, and correlation coefficient have been significantly improved. This image stabilization compensation method also has significant advantages over multi frame superposition algorithms in improving centering accuracy The image stabilization technology proposed in this article can be widely applied to star sensors and other optoelectronic imaging instruments with dynamic application scenarios.