摘要
针对海洋重力测量误差主要来源于重力仪的不稳定性和厄特弗斯(Etvs)效应的问题,该文提出一种与航迹线拟合和卡尔曼滤波等传统方法相比更为灵活的一种误差压制方法,通过经验模态分解(EMD)结合信号的频谱进行分频段滤波。模型实验结果显示,利用EMD去噪后的信号误差平均值为0.54%;经EMD处理后的实际船测重力测线交点差相比原始数据降低了66%~87%,其最小值为0.82mGal,最大值为2.08mGal。该文表明,EMD方法能够明显提高海洋重力的Etvs改正精度。
Aiming at the problem that the measuring errors mainly derive from the gravimeter＇s instability and the variations of Etvs correction in the marine gravity measurement,a more flexible method of error suppression relative to the traditional method of track line fitting and Kalman filtering was put forward in this paper,which reduced the wide-band noise in the frequency-division section by the empirical mode decomposition（EMD）method.Experimental results showed that the average error reduced to 0.54%after using the EMD de-noising signal.And actual ship gravity measurement line intersection point reduced 66%-87% compared with the original data,which minimum and maximum value of data was 0.82 mGal and 2.08 mGal respectively.This study indicated that EMD method could significantly improve the accuracy of Etvs corrections in the marine gravity measurement.
作者
王坤
胡煜斌
郭志馗
WANG Kun;HU Yubin;GUO Zhikui(Department of Hydraulic Engineering,Changjiang Institute of Technology,Wuhan 430212,China;Insitute of Geophysics and Geomatics,China Univer-sity of Geosciences,Wuhan 430074,China)
出处
《测绘科学》
CSCD
北大核心
2018年第10期90-95,共6页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41504065)
