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.
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)
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
VRS
gross error detection
median judgment
adjustment model
weighted least square estimation with anti -error
作者简介
刘彦芳（1985～），女，河北辛集人，硕士，助教，研究方向：虚拟参考站技术及其应用。
