标题： 自主星跟踪器的质心算法评估 显示英文标题

标题： Evaluation of centroiding algorithms for an autonomous star tracker

摘要： 这项工作展示了针对在INPE开发的星跟踪器的六种质心算法的数值结果，包括读出噪声并考虑高斯点扩散函数。 测试的五种算法是计算成本低的轻量级质心算法。 这些算法与基于Matlab和GNU Octave中可用的lsqnonlin函数的形状拟合算法进行了比较。 此处研究的算法也适用于天体测量和自适应光学。 显示英文摘要

摘要： This work presents numerical results of a computer simulation performed with six centroiding algorithms targeting a star tracker in development at INPE, including readout noise and considering a Gaussian point spread function. Five of the tested algorithms are light-weight centroiding algorithms with low computational costs. These were compared to a shape fitting algorithm based on the lsqnonlin function available in Matlab and GNU Octave. The algorithms studied here are also applicable for astrometry and adaptive optics.