摘要
针对全球导航卫星系统(global navigation satellite system,GNSS)变形监测时间序列中粗差多、大小分布区间大的特点,提出了一种基于小波分析的改进型3σ粗差探测方法。利用实验模拟数据和实际工程数据,分别对该方法的探测效果同常规3σ法和四分位间距(inter-quartile range,IQR)法进行对比。结果表明,改进型3σ粗差探测法相对于常规3σ法和IQR法,不仅在总体探测率上效果更好,而且对探测3σ~5σ粗差的优势更为明显,满足了高可靠性的GNSS变形监测实际需求。
Aiming at the characteristics of quantity and fluctuation range on the gross error from global navigation satellite system(GNSS)deformation monitoring time series,we propose an improved 3σmethod of gross error detection based on wavelet analysis.We use simulated data and actual engineering data,and compare the detection results with the traditional 3σmethod and inter-quartile range(IQR)method respectively.The experimental results show that compared with the traditional 3σmethod and IQR method,the improved 3σmethod not only has better effect on the overall detection rate,but also has more obvious advantages in detecting 3σto 5σgross error.Thus,it is more suitable for the actual requirement of GNSS deformation monitoring project.
作者
吴浩
卢楠
邹进贵
郭世泰
WU Hao;LU Nan;ZOU Jingui;GUO Shitai(College of Urban and Environmental Science,Central China Normal University,Wuhan 430079,China;School of Resources and Environmental Engineering,Wuhan University of Technology,Wuhan 430070,China;School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2019年第9期1282-1288,共7页
Geomatics and Information Science of Wuhan University
基金
国家重点研发计划(2017YFE0109500)
国家自然科学基金(41671406)
湖北省自然科学基金(2016CFA013,2016AHB015)~~
