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Application of a hybrid least squares algorithm in astronomical positioning

机译:混合最小二乘算法在天文定位中的应用

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In order to reduce the digital zenith camera identify stars data that exist in the gross error influence on astronomical calculating, improve positioning accuracy. The mapping relation between the CCD image coordinate system and the celestial tangent plane coordinate system is established by using the robust weighted hybrid least squares algorithm. Using the least squares algorithm did not consider of the errors in the coefficient matrix and the data of the gross error. So the least squares algorithm and the total least squares algorithm are effectively combined to form the hybrid least squares algorithm. Then the hybrid least squares algorithm is used for robust weighting, reduced the identify stars possible gross error in the data, and reasonable weight matrix is set in conjunction with the magnitude. Experiments show that the robust weighted hybrid least squares algorithm has high accuracy in astronomical solution.
机译:为了减少数字Zenith相机识别在天文计算的总误差影响中存在的星数据,提高定位精度。通过使用坚固的加权混合最小二乘算法建立CCD图像坐标系和天体切线坐标系之间的映射关系。使用最小二乘算法没有考虑系数矩阵中的错误和粗略误差的数据。因此,最小二乘算法和总最小二乘算法有效地组合以形成混合最小二乘算法。然后,混合最小二乘算法用于鲁棒权重,减少了数据中的识别恒星可能的粗略误差,并且合理的权重矩阵结合与幅度结合。实验表明,鲁棒加权混合最小二乘算法在天文解决方案中具有高精度。

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