VRS测量数据中粗差的检验与估计方法  

Combining Method of Gross Error Detection and Estimation in VRS Measurement Data

作　　者：刘彦芳[1] 

机构地区：[1]曲阜师范大学杏坛学院,山东济南265200

出　　处：《地矿测绘》2012年第4期11-13,共3页Surveying and Mapping of Geology and Mineral Resources

基　　金：河北省科学技术厅省级基金项目"基于连续运行卫星参考站的煤田开采地表变形监测研究"(09140203A-2)

摘　　要：针对VRS数据中存在粗差的问题,采用中位数判别法,推导了抗差加权最小二乘估计方法及其数学模型。利用实验分析了粗差对VRS正常观测值解算定位的影响,采用粗差探测与抗差估计相结合的方法来处理异常数据,结果表明,基于粗差探测和抗差加权最小二乘估计相结合的粗差处理方法可以有效地控制和抵御粗差的影响。According to existing problems of gross error in VRS data, the median judgment is used. The weighted least square estimation method and its mathematical model are deducted. A number simulation was performed to analyze the influence of positioning affect on VRS normal observation value calculation when gross error was existed. Then, the combining method of gross error detection and estimation are given. The experiment results show that the influence of gross error can be controlled effectively and the calculation precision can be improved, when adopting the combining method.

关 键 词：VRS 粗差检验 中位数判别法 平差模型 抗差加权最小二乘估计 

分 类 号：P228.4[天文地球—大地测量学与测量工程]