Research on GPS geometry-based observational stochastic error model

Taoyun ZHOU; Baowang LIAN; Dongdong YANG; Yi ZHANG; Chenglin CAI

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

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Research on GPS geometry-based observational stochastic error model

Papers | 更新时间：2024-06-05

- Research on GPS geometry-based observational stochastic error model
- Journal on Communications Vol. 40, Issue 9, Pages: 74-85(2019)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61301094);The National Natural Science Foundation of China(61771150);The National Science and Technology Major Projects of China(GFZX0301040115);The Science and Technology Innovation Plan of Hunan Province(2018GK2014);The Science and Technology Innovation Plan of Hunan Province(2018RS3089);The National Research and Development Contracts of Guangxi Province(AB17129028);The Scientific Research Fund of Hunan Provincial Education Department(18B458)
- DOI：10.11959/j.issn.1000-436x.2019188
  CLC： TN961
- Online First：2019-09，
  
  Published：25 September 2019
- 稿件说明：
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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：

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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references

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