基于MODWT变换的海洋重力观测航行数据滤波方法  

MODWT transform applied to navigation data filtering in ocean gravity observation

作　　者：孙鹤泉[1] 金绍华 张宇[1] SUN Hequan;JIN Shaohua;ZHANG Yu(Hydrography&Cartography,Department of Military Oceanography,Dalian Naval Academy,Dalian 116018,China)

机构地区：[1]海军大连舰艇学院军事海洋与测绘系,辽宁大连116018

出　　处：《海洋通报》2020年第4期426-430,共5页Marine Science Bulletin

基　　金：国家自然科学基金(41876103)。

摘　　要：厄特弗斯效应是动态海洋重力测量的主要误差来源,厄特弗斯改正精度与航速和航向角精度密切相关。本文从最大重叠离散小波变换系数的分布特性入手,利用改进的定量化Lipschitz条件来确定观测曲线的正则性,提出了一种海洋重力观测中含噪航行数据的滤波方法,该方法在抑制噪声干扰的同时能够很好地保留测量信号的局部特征。本文提供了两组海洋重力测量中航速和航向角数据的处理结果,充分验证了本文方法的可靠性与有效性。The Eotvis effect is the main error source in dynamic marine gravity observation.The accuracy of the Eotvds correction is related closely to the accuracy of the ship speed and heading angle.By studying the characteristics of the maximaloverlap discrete wavelet transform coefficients and using the improved quantitative Lipschitz condition to determine the regularity of the signal curve,this study presents a new method for navigation data filtering in marine gravity observation.Themethod can preserve the local signal features while reducing the noise components.Two sets of the original and processed data of the ship speed and heading angle in marine gravity observation are studied,fully verifying the reliability and effectiveness of the proposed method.

关 键 词：海洋重力测量 最大重叠离散小波变换 厄特弗斯改正 LIPSCHITZ条件 

分 类 号：P223.39[天文地球—大地测量学与测量工程]