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Attitude-correlated frames approach for a star sensor to improve attitude accuracy under highly dynamic conditions

机译:星形传感器的与姿态相关的帧方法可在高动态条件下提高姿态精度

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The attitude accuracy of a star sensor decreases rapidly when star images become motion-blurred under dynamic conditions. Existing techniques concentrate on a single frame of star images to solve this problem and improvements are obtained to a certain extent. An attitude-correlated frames (ACF) approach, which concentrates on the features of the attitude transforms of the adjacent star image frames, is proposed to improve upon the existing techniques. The attitude transforms between different star image frames are measured by the strap-down gyro unit precisely. With the ACF method, a much larger star image frame is obtained through the combination of adjacent frames. As a result, the degradation of attitude accuracy caused by motion-blurring are compensated for. The improvement of the attitude accuracy is approximately proportional to the square root of the number of correlated star image frames. Simulations and experimental results indicate that the ACF approach is effective in removing random noises and improving the attitude determination accuracy of the star sensor under highly dynamic conditions. (C) 2015 Optical Society of America
机译:当星图在动态条件下变得运动模糊时,星传感器的姿态精度会迅速降低。现有技术集中在单帧的星形图像上以解决该问题,并且在一定程度上获得了改进。为了改善现有技术,提出了一种以姿态相关帧(ACF)为中心的方法,该方法着重于相邻星形图像帧的姿态变换的特征。捷联陀螺仪单元精确测量不同星形图像帧之间的姿态变换。使用ACF方法,通过相邻帧的组合可以获得更大的星形图像帧。结果,补偿了由于运动模糊引起的姿势精度的降低。姿态精度的提高大约与相关的星形图像帧数的平方根成正比。仿真和实验结果表明,在高动态条件下,ACF方法可有效消除随机噪声并提高星形传感器的姿态确定精度。 (C)2015年美国眼镜学会

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