经验模分解在动态重力测量数据处理中的应用  

Application of EMD in Data Processing of Dynamic Gravimetry

作　　者：蔡劭琨[1] 吴美平[1] 张开东[1] 曹聚亮[1] 

机构地区：[1]国防科学技术大学机电工程与自动化学院,湖南长沙410073

出　　处：《海洋测绘》2015年第4期7-10,19,共5页Hydrographic Surveying and Charting

基　　金：国家自然科学基金(61273055);国家863计划(2013AA063902)

摘　　要：在动态重力测量中,测量结果会受到各种因素的影响,尤其是载体的动态运动会引起重力测量结果的波动。针对这一问题,研究了经验模分解的方法在动态重力测量中的应用,并利用捷联式重力仪SGA-WZ02的实测数据对经验模分解的方法进行了验证。实验结果表明,通过经验模分解能够消除载体运动对重力测量的影响,重复测线的数据表明了通过经验模分解处理之后重力异常的重复性从0.881m Gal提高到了0.611m Gal。In the dynamic gravimetry, the measured gravity will be affected by various factors, especially the dynamic movement of the carrier. In order to solve this problem, the application of empirical mode decomposition （EMD） in the data processing of the dynamic gravimetry is researched, and this method is verified with the measured data from strapdown gravimetry system SGA-WZ02. The test result shows that the EMD can be used to eliminate the influence of the carrier movement, and the repeated flight line data show that the repeatability of the gravity anomaly processed by the EMD is improved from 0.881mGal to 0.61 lmGal.

关 键 词：动态重力测量 载体动态性 经验模分解 飞行试验 重复性 

分 类 号：P223.4[天文地球—大地测量学与测量工程]