王坤,胡煜斌,郭志馗

• 1:长江工程职业技术学院水利工程系
• 2:中国地质大学(武汉)地球物理与空间信息学院

摘要(Abstract)：

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(Etvs)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Etvs改正精度。

关键词(KeyWords)： Etvs改正;经验模态分解;宽频带噪声;海洋重力测量

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41504065)

作者(Author): 王坤,胡煜斌,郭志馗

DOI: 10.16251/j.cnki.1009-2307.2018.10.014

参考文献(References)：

• [1]GLICKEN M.E9tv9s corrections for a moving gravity meter[J].Geophysics,1962,27(4):531-533.
• [2]SENUS W J.Further E9tv9s correction error reduction through the utilization of baseline radio navigation systems[J].Mar Geodesy,1978,1(3):263-288.
• [3]黄谟涛,宁津生,欧阳永忠,等.航空重力测量厄特弗斯改正公式注记[J].测绘学报,2015,44(1):6-12.(HUANG Motao,NING Jinsheng,OUYANG Yongzhong,et al.Comments on the formulae of E9tv9s corrections for airborne gravimetry[J].Acta Geodaetica et Cartographica Sinica,2015,44(1):6-12.)
• [4]张会,柳林涛,梁星辉.海洋重力测量中厄特弗斯改正的优化计算[J].海洋测绘,2011,31(5):1-3,8.(ZHANG Hui,LIU Lintao,LIANG Xinghui.Optimization computation of the E9tv9s correction in marine gravimetry[J].Hydrographic Surveying and Charting,2011,31(5):1-3,8.)
• [5]张立华,殷晓东,孙毅,等.E9tv9s效应改正中航向航速计算间隔分析[J].测绘工程,2002,11(4):39-42.(ZHANG Lihua,YIN Xiaodong,SUN Yi,et al.The analysis of intervals of calculating course and ship speed of E9tv9s effect correction[J].Engineering of Surveying and Mapping,2002,11(4):39-42.)
• [6]张涛,高金耀,陈美.海洋重力测量中厄特沃什效应的合理改正[J].海洋测绘,2005,25(2):17-20.(ZHANG Tao,GAO Jinyao,CHEN Mei.The reasonable correction of E9tv9s effect in marine gravity survey[J].Hydrographic Surveying and Charting,2005,25(2):17-20.)
• [7]于波,刘雁春,暴景阳,等.E9tv9s效应改正中航速、航向角计算方法研究[J].测绘科学,2007,32(3):80-82.(YU Bo,LIU Yanchun,BAO Jingyang,et al.Study on E9tv9s effect correction in marine gravimetry[J].Science of Surveying and Mapping,2007,32(3):80-82.)
• [8]郝燕玲,姜鑫,周广涛,等.基于小波分析的海洋重力测量滤波算法[J].测绘科学,2014,39(8):116-119.(HAO Yanling,JIANG Xin,ZHOU Guangtao,et al.Application of wavelet analysis in marine gravity survey[J].Science of Surveying and Mapping,2014,39(8):116-119.)
• [9]BASHIROV A E,EPPELBAUM L V,MISHNL R.Improving E9tv9s corrections by wide-band noise Kalman filtering[J].Geophysical Journal International,1992,108(1):193-197.
• [10]BASHIROV A E.On linear filtering under dependent wide-band noise[J].Stochastics,1988,23(4):413-437.
• [11]XIA J H,DOLL W E,MILLER R D,et al.A moving hum filter to suppress rotor noise in high-resolution airborne magnetic data[J].Geophysics,2005,70(4):G69-G76.
• [12]HUANG N E,SHEN Z,LONG S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[C]∥Proceedings of the Royal Society A:Mathematical Physical and Engineering Sciences.London,Great Britain:Royal Society,1998:903-995.
• [13]HUANG N E,WU Z H.A review on Hilbert-huang transform:method and its applications to geophysical studies[J].Reviews of Geophysics,2008,46(2):RG2006.
• [14]WU Z,HUANG N E.A study of the characteristics of white noise using the empirical mode decomposition method[C]∥Proceedings of the Royal Society A:Mathematical Physical&Engineering Sciences.London,Great Britain:Royal Society,2004:1597-1611.
• [15]WU Z H,HUANG N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2011,1(1):1-41.