摘要
GNSS数据处理时一般使用双差残差来评估观测值精度。双差残差由于受到参考卫星的选定和参考卫星观测误差等影响,不利于对每颗卫星进行单独的数据质量分析。本文阐述了一种双差残差恢复单差残差的基本原理和方法,实现在GBC中使用单差残差值来评估观测数据质量,给出了双差残差恢复单差残差的实现过程;并利用多组处理数据与天宝TBC软件的处理结果进行比对验证,从原理分析和数据对比两个方面论证了利用恢复后的单差残差进行观测数据质量评估的合理性。
GNSS data processing generally uses double-difference residuals to assess the accuracy of the observations.Doubledifference residuals are not conducive to separate data quality analysis for each satellite due to the influence of reference satellite selection and reference satellite observation errors,etc.In this paper,we describe the basic principle and method of recov ering single-difference residuals from double-difference residuals,realize the use of single-difference residuals in GBC to assess the quality of observation data,and give the implementation process of recovering single-difference residuals from double-difference residuals;and compare and verify the results with the processing results of Ten Pao TBC software using multiple sets of processing data,and demonstrate the rationality of using recovered single-difference residuals for observation The rationality of using the recovered single-difference residuals for data quality assessment was demonstrated from both the principle analysis and data comparison.
作者
何虎
柴军兵
张瑞天
王广伟
张丽萍
He Hu;Chai Junbing;Zhang Ruitian;Wang Guangwei;Zhang Liping
出处
《物探装备》
2021年第3期198-202,共5页
Equipment for Geophysical Prospecting
关键词
GNSS数据处理
双差残差
单差残差
基线
误差传播定律
GNSS data processing
double-difference residuals
single-difference residuals
baseline
law of propagation of error
