摘要
常规的加权移动平均在对GPS自动化变形监测数据序列平滑滤波时不能消除粗差的影响。为此,利用二次加权对该方法进行改进,提出抗差移动平均法。对模拟数据及实际GPS滑坡自动化监测数据的处理分析表明,抗差移动平均可有效削弱粗差对平滑滤波结果的影响。
Weighted moving average, a commonly used smoothing filter of data sequence in GPS auto- matic deformation monitoring systems, cannot eliminate gross errors caused by the quality of original observation data. This article proposes a robust moving average method using re-weighting as an im- provement on the conventional weighted moving average method. Through analyses of data sequences of the simulation and GPS automatic landslide monitoring system, the results indicate that the robust moving average method could effectively weaken the gross error.
出处
《大地测量与地球动力学》
CSCD
北大核心
2016年第1期85-88,共4页
Journal of Geodesy and Geodynamics
基金
国家973计划(2013CB733303)
中南大学研究生自主探索创新项目(2015zzts252)~~
