摘要
针对复杂环境下高频全球导航卫星系统(GNSS)变形监测序列粗差多、类型不同的特点,该文提出了一种结合极点对称模态分解(ESMD)和一阶差分的粗差探测方法。首先采用ESMD获得观测序列有限个本征模态函数(IMF),根据斯皮尔曼系数确定IMF趋势项而获得残差序列;然后针对残差序列无法准确识别区域态粗差问题,构造残差一阶差分序列并根据离散态和区域态粗差特点探测粗差;最后进行积分还原获得残差序列并叠加趋势。仿真实验结果表明,该方法能识别出序列中的离散态和区域态粗差。能很好地应用于沪苏通长江公铁两用大桥高频GNSS变形监测中,对其他类似的公铁两用桥的粗差探测和修正提供参考和借鉴。
Aiming at the characteristics of high-frequency global navigation satellite system(GNSS)deformation monitoring sequence with different types’errors in complex environment,first order difference combining and extreme point symmetric mode decomposition(ESMD)was proposed.Firstly,the intrinsic mode function(IMF)of the observation series was obtained by using ESMD,and the residual sequence was obtained by determining the IMF trend term according to Spearman coefficient.Then,aiming at the problem that the residual sequence could not accurately identify the regional gross error,the residual first-order difference sequence was constructed and the gross error was detected according to the characteristics of the discrete and the regional gross error.Finally,the residual sequence was obtained by integral reduction and the trend was superimposed.The simulation results showed that the method could identify the discrete and regional gross errors in the sequence.This method was successfully applied to high-frequency GNSS deformation monitoring of Shanghai-Suzhou-Nantong Yangtze River rail-highway bridge,which provided reference for other similar rail-highway bridge gross error detection and correction.
作者
唐浩耀
谭社会
杨兴旺
李宁
张献州
TANG Haoyao;TAN Shehui;YANG Xingwang;LI Ning;ZHANG Xianzhou(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;China Railway Shanghai GroupCo.,Ltd.,Shanghai 200071,China;Beijing Cnten Smart Technology Co.,Ltd.,Beijing 100094,China)
出处
《测绘科学》
CSCD
北大核心
2022年第12期39-47,共9页
Science of Surveying and Mapping
基金
中央高校基本科研业务费专项资金项目(SWJTU10ZT02)
关键词
高频GNSS
变形观测
粗差探测
极点对称模态分解
一阶差分
high-frequency GNSS
deformation observation
gross error detection
extreme point symmetric mode decomposition
first order differential
作者简介
唐浩耀(1994—),男,四川南充人,硕士研究生,主要研究方向为工程测量等科研和应用。E-mail:tanghaoyao@my.swjtu.edu.cn;通信作者:张献州,教授,E-mail:19844268@qq.com
