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先验单位权中误差约束下的GNSS未建模误差分离理论与方法
结题报告
批准号:
41974030
项目类别:
面上项目
资助金额:
63.0 万元
负责人:
于先文
依托单位:
学科分类:
卫星大地测量学
结题年份:
2023
批准年份:
2019
项目状态:
已结题
项目参与者:
于先文
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中文摘要
未建模误差的存在严重影响了GNSS精密单点定位和长基线测量精度的提高,限制了GNSS定位技术优势的发挥。由于未建模误差的复杂性,目前还没有普适的方法能将其从观测值中有效分离。针对上述问题,本项目拟利用未建模误差的时空相关性以及观测值的先验单位权中误差等信息,采用严密的数据处理方法,实现对未建模误差的有效分离。.具体研究:建立顾及时空相关性的未建模误差预测模型,为对其有效分离提供先验信息;研究先验单位权中误差约束下的附加参数误差方程解算方法,实现对未建模误差的精确估计;研究具有先验信息的未建模误差参数筛选方法,进一步提高未建模误差的估计精度;研究未建模误差分离结果的可靠性评价方法,确保未建模误差分离的有效性。.通过本项目研究,将形成能适应非平稳时间序列、计算机完全自主处理、理论严密的未建模误差分离理论,有效解决GNSS未建模误差的干扰难题,为我国北斗卫星导航系统的拓展应用提供理论和技术支持。
英文摘要
The existence of the unmodeled errors seriously affects the accuracy of the GNSS precise point positioning and long baseline measurement, and limits the advantages of the GNSS positioning technology. Due to the complexity of the unmodeled errors, there is currently no universal method to efficiently separate it from the observations. Aiming at the above problems, the project will make full use of the space-time relativity of the unmodeled errors and the priori unit weight mean error of the observed values, and adopt a rigorous data processing method to achieve the effective separation of the unmodeled errors. .The research content of the project is to establish a predictive model of the unmodeled errors that takes into account the space-time relativity, so as to provide prior information for the effective separation of the unmodeled errors; to study the solving method of the additional parameter error equation under the constraint of the priori unit weight mean error, so as to achieve the accurate estimation of the unmodeled errors parameter; to study the unmodeled errors parameter screening method with prior information in order to further improve the estimation accuracy of the unmodeled errors; to study the reliability evaluation method of the separation results of the unmodeled errors to ensure the effectiveness of the unmodeled errors separation..Through the research of this project, the theory for separating the unmodeled errors that can adapt to non-stationary time series, completely processed independently by the computer and have a rigorous theory will be formed, which effectively solves the interference problem of the GNSS unmodeled errors, and provides theoretical and technical support for the extended application of BeiDou Navigation Satellite System in China.
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DOI:10.3390/rs15205022
发表时间:2023-10
期刊:Remote. Sens.
影响因子:--
作者:Jiafu Wang;Xianwen Yu;Angela Aragon-Angel;A. Rovira‐Garcia;Hao Wang
通讯作者:Jiafu Wang;Xianwen Yu;Angela Aragon-Angel;A. Rovira‐Garcia;Hao Wang
DOI:10.1515/jag-2022-0007
发表时间:2022
期刊:Journal of Applied Geodesy
影响因子:1.4
作者:Yanze Wu;Xianwen Yu;Jiafu Wang
通讯作者:Jiafu Wang
DOI:10.16251/j.cnki.1009-2307.2020.07.009
发表时间:2020
期刊:测绘科学
影响因子:--
作者:赵刚;于先文;孙璞玉
通讯作者:孙璞玉
DOI:10.3390/rs15061476
发表时间:2023-03
期刊:Remote. Sens.
影响因子:--
作者:Rui Shang;Chengfa Gao;Lu Gan;Ruicheng Zhang;Wang Gao;Xiaolin Meng
通讯作者:Rui Shang;Chengfa Gao;Lu Gan;Ruicheng Zhang;Wang Gao;Xiaolin Meng
DOI:10.11947/j.agcs.2020.20200107
发表时间:2021
期刊:测绘学报
影响因子:--
作者:高成发;陈波;刘永胜
通讯作者:刘永胜
高可靠性的GNSS载波精密定位全概率整数解的关键算法研究
  • 批准号:
    41674035
  • 项目类别:
    面上项目
  • 资助金额:
    65.0万元
  • 批准年份:
    2016
  • 负责人:
    于先文
  • 依托单位:
国内基金
海外基金