期刊文献+

GNSS非组合PPP部分模糊度固定方法与结果分析 被引量:4

Partial Ambiguity Resolution Method and Results Analysis for GNSS Uncombined PPP
原文传递
导出
摘要 在精密单点定位(precise point positioning,PPP)技术中,模糊度固定错误将导致严重的定位偏差,为保证PPP模糊度实现更可靠的固定,需对模糊度子集的选取方式进行优化。提出了一种将质量控制与施密特正交化相结合的PPP部分模糊度固定方法。在全球导航卫星系统(global navigation satellite system,GNSS)多系统融合条件下,选取多模GNSS实验数据,在非差非组合PPP模型中对比分析施密特正交化方法与高度角选星方法,并进行模糊度固定及定位性能验证。结果表明,施密特正交化方法相比高度角选星方法,各天与各站平均历元固定率在静态模式下分别提高了7.74%与11.46%,在仿动态模式下分别提高了7.90%与7.78%;各天与各站的首次固定时间在静态模式下分别提高了22.30%与25.42%,在仿动态模式下分别提高了20.44%与19.65%。在PPP模糊度固定和定位精度方面,多系统融合相比单BDS(BeiDou navigation satellite system)提升效果明显,在95%分位数条件下,水平和高程方向收敛时间分别平均减少20.00 min和19.00 min,水平和高程方向定位精度分别平均改善了1.50 cm和1.12 cm。在非差非组合PPP模型中,采用施密特正交化PPP部分模糊度固定方法可以显著提升模糊度固定性能,改善定位精度。 Objectives:In precise point positioning(PPP)technology,the correct fixing of ambiguity is always an essential part of achieving high-precision positioning.However,the wrong fixing of ambiguity will lead to serious positioning errors.Therefore,it is necessary to optimize the selection of the ambiguity subset to ensure a more reliable fixing of PPP ambiguity.Methods:This paper proposes a PPP partial ambiguity resolution(PAR)method that combines quality control and Gram-Schmidt orthogonalization.By utilizing the multi-GNSS(global navigation satellite system)experiment(MGEX)observations in the un-differenced and un-combined PPP model,the PAR method based on Gram-Schmidt orthogonalization was compared and analyzed with the selected reference satellite method with maximum elevation,and the performance of ambiguity resolution and positioning was assessed under the multi-GNSS conditions.Results:Experimental results show that the average epoch fixing rate of each day and each station based on the GramSchmidt method is improved by 7.74%and 11.46%in the static mode,and 7.90%and 7.78%in the pseudo-kinematic mode,respectively,compared with that of the selected reference satellite method considering the maximum elevation.Meanwhile,time-to-first-fix(TTFF)of each day and each station based on the Gram-Schmidt orthogonalization can be significantly reduced by 22.30%and 25.42%in the static mode,corresponding to an improvement of 20.44%and 19.65%in the pseudo-kinematic mode,respectively,compared with that of the selected reference satellite method considering the maximum elevation.As far as multi-GNSS PPP AR is concerned,multi-GNSS PPP AR has a significant improvement on the convergence time of BDS(BeiDou navigation satellite system)only.The convergence time of horizontal components is shortened by 20.00 min on average at 95%confidence level,and the vertical components are shortened by 19.00 min on average.For the positioning accuracy aspects,the positioning accuracy of horizontal components is improved by 1.50 cm on average,while that of vertical components is improved by 1.12 cm on average.Conclusions:The PPP PAR algorithm based on the Gram-Schmidt method can significantly improve the performance of ambiguity resolution and positioning accuracy.
作者 闫忠宝 张小红 YAN Zhongbao;ZHANG Xiaohong(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)
出处 《武汉大学学报(信息科学版)》 EI CAS CSCD 北大核心 2022年第6期979-989,共11页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金(41825009) 湖北省创新研究群体科学基金(41721003)。
关键词 精密单点定位 非差非组合 施密特正交化 首次固定时间 GNSS多系统融合 precise point positioning(PPP) un-differenced and un-combined Gram-Schmidt orthogonalization time-to-first-fix(TTFF) multi-GNSS fusion
  • 相关文献

参考文献6

二级参考文献68

  • 1赵昂,杨元喜,许扬胤,景一帆,杨宇飞,马越原,徐君毅.GNSS单系统及多系统组合完好性分析[J].武汉大学学报(信息科学版),2020,45(1):72-80. 被引量:25
  • 2张小红,刘经南,Rene Forsberg.基于精密单点定位技术的航空测量应用实践[J].武汉大学学报(信息科学版),2006,31(1):19-22. 被引量:151
  • 3张小红.动态精度单点定位(PPP)的精度分析[J].全球定位系统,2006,31(1):7-11. 被引量:66
  • 4Teunissen P J G, Kleusbery A. GPS for Geodesy [J]. Lecture Notes in Earth Sciences, 1996, 60: 175-217.
  • 5P. J. G. Teunissen,A. R. Amiri-Simkooei.Least-squares variance component estimation[J].Journal of Geodesy.2008(2)
  • 6Peiliang Xu,Yumei Liu,Yunzhong Shen,Yoichi Fukuda.Estimability analysis of variance and covariance components[J].Journal of Geodesy.2007(9)
  • 7Peiliang Xu,Yunzhong Shen,Yoichi Fukuda,Yumei Liu.Variance Component Estimation in Linear Inverse Ill-posed Models[J].Journal of Geodesy.2006(2)
  • 8K.-R. Koch,J. Kusche.Regularization of geopotential determination from satellite data by variance components[J].Journal of Geodesy.2002(5)
  • 9J. Wang,C. Satirapod,C. Rizos.Stochastic assessment of GPS carrier phase measurements for precise static relative positioning[J].Journal of Geodesy.2002(2)
  • 10J. Grodecki.Generalized maximum-likelihood estimation of variance–covariance components with non-informative prior[J].Journal of Geodesy (-).2001(2-3)

共引文献86

同被引文献41

引证文献4

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部