PM2.5影响下的PPP定位结果残差改正研究
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  • 英文篇名:Research on residual correction of PPP positioning results under the influence of PM2.5
  • 作者:田宗彪 ; 章磊 ; 张训虎 ; 李淼 ; 王树东
  • 英文作者:Tian Zongbiao;Zhang Lei;Zhang Xunhu;Li Miao;Wang Shudong;National Quality Inspection and Testing Center for Surveying and Mapping Product;CIGIS(CHINA)LIMITED;
  • 关键词:PM2.5 ; PPP ; 残差 ; 改正
  • 英文关键词:PM2.5;;PPP;;residual error;;correction
  • 中文刊名:GCKC
  • 英文刊名:Geotechnical Investigation & Surveying
  • 机构:国家测绘产品质量检验测试中心;建设综合勘察研究设计院有限公司;
  • 出版日期:2019-05-01
  • 出版单位:工程勘察
  • 年:2019
  • 期:v.47;No.358
  • 语种:中文;
  • 页:GCKC201905009
  • 页数:7
  • CN:05
  • ISSN:11-2025/TU
  • 分类号:62-67+71
摘要
本文针对雾霾情况下PPP定位精度受损的问题,提出了一种新的PM2.5影响下的PPP定位结果残差改正算法。通过分析定位残差及PM2.5相互关系,比对多种数学拟合结果,得到最优拟合方式,探索出相应的残差改正项计算方法,可有效改正雾霾残差。在研究不同PPP定位模式下各分量与PM2.5的关系后,发现PM2.5对PPP静态定位影响显著,PM2.5高于160时对Y、Z方向的精度明显受损,基于残差同PM2.5的数据比对,通过拟合实现了一种PM2.5影响下的PPP定位结果残差改正方法。实验验证结果表明,在PM2.5大于160时,PPP静态定位引入该项改正,可以有效提高定位精度,为今后雾霾情况下通过PPP静态定位开展的测绘生产成果改进提供有效的手段。
        In this paper, a novel error correction algorithm of PPP positioning under the influence of PM2.5 is proposed, deals with the problem that the accuracy of PPP positioning is impaired in the case of haze. This paper analyzes the relationship between positioning residuals and PM2.5, compares the results of a variety of mathematical fitting, finds out the optimal fitting method, and explores the corresponding residual correction method, which can effectively correct effects by haze. After studying the relationship between the coordinate components and PM2.5 in different PPP positioning modes, it is found that the accuracy is significantly declined when PM2.5 is higher than 160 in PPP static positioning. Based on the comparison between PM2.5 and residual error, this paper proposes a residual error correction method. The experimental results show that PPP static positioning accuracy can be improved when introduces this correction, which can provide an effective means for improving the results of surveying and mapping production in haze.
引文
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