Baarda粗差探测和M抗差估计的优劣性比较  

Comparison between Baarda Gross Error Detection and M-Robust Estimation

作　　者：闫占瑞 YAN Zhanrui(Tiezheng Testing Technology Co.,Ltd.,Jinan,Shandong Province,250101 China)

机构地区：[1]铁正检测科技有限公司,山东济南250101

出　　处：《科技创新导报》2022年第22期1-4,共4页Science and Technology Innovation Herald

摘　　要：最小二乘平差法广泛应用于测量数据处理,缺点是不能根据残差有效地发现和定位粗差,而基于均值平移模型的粗差探测和基于方差膨胀模型的抗差估计,继承了最小二乘优良的性质,同时能对粗差进行良好的定位和修正。本文结合实例,对Baarda粗差探测和M抗差估计进行了对比分析,结果表明,M抗差估计粗差探测效果优于Baarda粗差探测。The least squares adjustment method is widely used in measurement data processing,but it can not find and locate the gross error effectively according to the residual error.The gross error detection based on mean shift model and robust estimation based on variance inflation model inherit the excellent properties of least squares,and can locate and correct gross errors well.This paper makes a comparative analysis of Baarda gross error detection and M robust estimation with an example,and the results show that M robust estimation is better than Baarda gross error detection.

关 键 词：最小二乘平差(LS) Baarda粗差探测 M抗差估计 粗差定位 

分 类 号：P20[天文地球—测绘科学与技术]