基于几何相关的GPS观测量随机误差模型的研究

周桃云; 廉保旺; 杨冬冬; 张怡; 蔡成林

doi:10.11959/j.issn.1000-436x.2019188

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基于几何相关的GPS观测量随机误差模型的研究

学术论文 | 更新时间：2024-06-05

- 基于几何相关的GPS观测量随机误差模型的研究
- Research on GPS geometry-based observational stochastic error model
- 通信学报 2019年40卷第9期页码：74-85
- 作者机构：
  
  1. 西北工业大学电子信息学院，陕西西安 710129
  2. 湖南人文科技学院信息学院，湖南娄底 417000
  3. 湘潭大学信息工程学院，湖南湘潭 411105
- 作者简介：
  
  [ "周桃云（1981- ），女，湖南娄底人，西北工业大学博士生，主要研究方向为卫星导航与定位技术。" ]
  [ "廉保旺（1962- ），男，河南焦作人，博士，西北工业大学教授、博士生导师，主要研究方向为卫星通信导航与测控、室内定位技术、软件无线电技术、嵌入式系统设计。" ]
  [ "杨冬冬（1994- ），男，河南焦作人，西北工业大学硕士生，主要研究方向为卫星导航与定位技术。" ]
  [ "张怡（1966- ），女，陕西西安人，博士，西北工业大学教授、博士生导师，主要研究方向为通信、导航、遥测遥控系统的信息传输与处理、卫星导航与定位技术、无线通信与软件无线电。" ]
  [ "蔡成林（1969- ），男，湖南娄底人，博士，湘潭大学教授、博士生导师，主要研究方向为卫星导航与无线通信。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61301094);国家自然科学基金资助项目(61771150);国家重大科技专项基金资助项目(GFZX0301040115);湖南省科技创新计划基金资助项目(2018GK2014);湖南省科技创新计划基金资助项目(2018RS3089);广西科技计划项目合同基金资助项目(AB17129028);湖南省教育厅科学研究基金资助项目(18B458)
- DOI：10.11959/j.issn.1000-436x.2019188
  中图分类号： TN961
- 网络出版日期：2019-09，
  
  纸质出版日期：2019-09-25
- 稿件说明：
移动端阅览
周桃云, 廉保旺, 杨冬冬, 等. 基于几何相关的GPS观测量随机误差模型的研究[J]. 通信学报, 2019,40(9):74-85.

Taoyun ZHOU, Baowang LIAN, Dongdong YANG, et al. Research on GPS geometry-based observational stochastic error model[J]. Journal on communications, 2019, 40(9): 74-85.
周桃云, 廉保旺, 杨冬冬, 等. 基于几何相关的GPS观测量随机误差模型的研究[J]. 通信学报, 2019,40(9):74-85. DOI： 10.11959/j.issn.1000-436x.2019188.

Taoyun ZHOU, Baowang LIAN, Dongdong YANG, et al. Research on GPS geometry-based observational stochastic error model[J]. Journal on communications, 2019, 40(9): 74-85. DOI： 10.11959/j.issn.1000-436x.2019188.

摘要

针对传统方法考虑随机误差影响因素不够全面的问题，建立了一种更加真实的GPS观测量随机误差模型。该方法在几何相关功能模型中引入了误差修正项，采用了一种以空间换时间的改进LS-VCE算法对模型进行求解，采集了2组真实的GPS实测数据对模型进行性能评估，并利用该模型解算了载波相位整周模糊度。实验结果表明，所提方法在模型精度、模型求解复杂度及整周相位模糊度解算成功率等方面均优于传统方法。

Abstract

Aiming at the problem of not enough influencing factors were considered in traditional methods

a much more realistic stochastic model was built.In which error corrections were introduced into the geometry-based function model

an improved least squares variance component estimation (LS-VCE) algorithm with space-for-time was used to solve the model

two sets of real GPS data were collected to evaluate the performance of the model

and with which the carrier phase integer ambiguity was solved.The experimental results show that the proposed methods are superior to the traditional methods in terms of model accuracy

model solution complexity and integer ambiguity resolution.

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Keywords

references

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