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三维坐标转换的稳健加权总体最小二乘算法 被引量:7

Robust Weighted Total Least Squares Algorithm for Three-Dimensional Coordinate Transformation
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摘要 针对当前加权对称相似变换中仅考虑观测值含有随机误差,而不考虑观测值含有粗差的情况,基于加权对称相似变换进一步验证其不具有抗差性,并在此基础上采用选权迭代法进行稳健加权对称相似变换。由中位数法求解具有抗差性的单位权中误差,构造标准化残差,求解权因子,进而求得可靠的参数解。实验结果表明,当观测值含有4~6个粗差时,采用该方法能够探测出更多可能存在粗差的数据,给出的权因子更合理,所得参数解精度更高、稳定性更强。 Based on the existing weighted symmetric similarity transformation,only the case where the observation value contains random error is considered,and the case where the observation value contains the gross error is not considered.This paper further verifies that the weighted symmetric similarity transformation is not robust.Based on the weighted symmetric similarity transformation,the method of selecting weight iteration is adopted to make the robust weighted symmetric similarity transformation.The model obtains unit weight mean square error with robustness by the median method and utilizes the standardized residual to construct the weight factor function,to obtain a reliable parametric solution.Comparative analysis shows that:when the observations contain 4-6 gross errors,the method of this paper can be used to detect more data that may have gross errors,the weighting factors given are more reasonable,and the obtained parameter solution has higher accuracy and stronger stability.
作者 王乐洋 许冉冉 WANG Leyang;XU Ranran(Faculty of Geomatics,East China University of Technology,418 Guanglan Road,Nanchang 330013,China)
出处 《大地测量与地球动力学》 CSCD 北大核心 2020年第10期1027-1033,共7页 Journal of Geodesy and Geodynamics
基金 国家自然科学基金(41874001,41664001) 东华理工大学研究生创新项目(DHYC-201925)。
关键词 坐标转换 总体最小二乘 稳健估计 中位数法 coordinate transformation total least squares robust estimation median method
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