基于随机模型的粗差探测方法比较及实例分析  

Comparison and Example Analysis of Gross Error Detection Methods Based on Random Model

作　　者：甄龙 黄志远 曹鹏财 易祎 ZHEN Long;HUANG Zhiyuan;CAO Pengcai;YI Yi(Central Southern China Electric Power Design Institute Co.,Ltd.,China Power Engineering Consulting Group,Wuhan 430071,China)

机构地区：[1]中国电力工程顾问集团中南电力设计院有限公司,湖北武汉430071

出　　处：《测绘与空间地理信息》2020年第11期142-149,共8页Geomatics & Spatial Information Technology

摘　　要：在GPS数据处理中,由于受到观测信号、传播路径和接收机等部分的影响,GPS观测值中不可避免地带有粗差[1],如何对这些粗差进行准确定位和处理就成了GPS数据处理好坏的关键,至今粗差探测的模型和方法很多,但针对不同的粗差类型如何选取相应的粗差探测方法显得尤为重要,本文通过将基于随机模型的几种稳健估计选权迭代方法进行VB编程,并通过实例分析,比较出了各自在实际应用中的优缺点,可以更好地指导实际GPS粗差处理中的方法模型选取。In GPS data processing,due to the influence of the observation signal,the propagation path,and receiver part,the GPS observations has gross error inevitably.Accurate positioning and eliminating the gross error is the key of GPS data processing,since it is difficult to select the preferable gross error detection methods for different types of gross errors.This article implements the several robust estimation methods of weighted iteration based on stochastic model by VB programming,through the example analysis,compares their respective advantages and disadvantages in practical application,and provides better guidance for method model selection in the actual GPS gross error processing.

关 键 词：GPS观测值 粗差探测 随机模型 稳健估计 选权迭代 

分 类 号：P228.4[天文地球—大地测量学与测量工程]