大地测量学与导航

多系统非差非组合精密单点定位电离层延迟约束权阵的确定

  • 张辉 ,
  • 郝金明 ,
  • 谢建涛 ,
  • 刘伟平 ,
  • 周阳林
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  • 信息工程大学导航与空天目标工程学院, 河南 郑州 450001
张辉(1989-),男,博士生,研究方向为多系统GNSS精密定位。E-mail:zh_ljpd@163.com

收稿日期: 2017-02-07

  修回日期: 2017-08-21

  网络出版日期: 2018-03-29

The Weight Matrix Determination of Ionospheric Delay Constraintfor Multi-GNSS Precise Point Positioning Using Raw Observations

  • ZHANG Hui ,
  • HAO Jinming ,
  • XIE Jiantao ,
  • LIU Weiping ,
  • ZHOU Yanglin
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  • School of Navigation and Aerospace Engineering, Information Engineering University, Zhengzhou 450001, China

Received date: 2017-02-07

  Revised date: 2017-08-21

  Online published: 2018-03-29

摘要

非差非组合精密单点定位需要估计电离层延迟参数,采用电离层先验改正模型约束可以辅助电离层参数解算。针对先验电离层改正量与实际观测量之间权比关系难以确定的问题,本文提出一种电离层约束权因子搜索算法,采用权因子对先验电离层改正量的方差进行调整,根据验后残差加权平方和最小原则通过搜索找出较优的权因子,利用验后残差动态调整先验电离层改正量的方差从而达到改善定位结果的目的。采用8个MGEX跟踪站的GPS/BDS观测数据对该算法进行验证。静态结果表明:对比传统约束方法,采用搜索算法后平均三维定位精度由3.96 cm提高到3.40 cm,平均收敛时间由76.3 min缩短为59.9 min。

本文引用格式

张辉 , 郝金明 , 谢建涛 , 刘伟平 , 周阳林 . 多系统非差非组合精密单点定位电离层延迟约束权阵的确定[J]. 测绘学报, 2018 , 47(3) : 308 -315 . DOI: 10.11947/j.AGCS.2018.20170151

Abstract

The ionospheric delay parameters in the precise point positioning (PPP) using raw observations must be considered.The estimation of the ionospheric delay parameters is strengthened by priori ionospheric correction models. But it is difficult to determine the relative weight ratios between the priori ionospheric corrections and the observations. A weight factor searching algorithm based on ionospheric delay constraint for multi-GNSS PPP using raw observations is proposed in which weight factors are utilized to adjust the variances of priori ionospheric corrections. According to the principle thatthe sum of the quadratic forms of weighted residuals be the minimum, the optimal weight factors are searched for and the variances of priori ionospheric corrections are adjusted dynamically in order to promote the positioning results. Data sets collected from 8 stations of the multi-GNSS experiment (MGEX) tracking network are processed to validate the proposed algorithm. The results of PPP in static mode show that the RMS values of the positioning errors are improved from 3.96 cm to 3.40 cm andthe convergence time is reduced from 76.3 min to 59.9 min whenthe searching algorithm is used, in comparison with the traditional priori ionospheric constraint.

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