东南大学学报（自然科学版）2009，Vol.39Issue(5)：937-940,4.DOI:10.3969/j.issn.1001-0505.2009.05.014
重力信号的小波变换与经验模态分解级联滤波方法
Gravity signal transform method using wavelet transform cascaded with empirical mode decomposition
摘要
Abstract
The cascaded filter containing wavelet transform and empirical mode decomposition is proposed for gravity measurement on the moving base. The cascaded filter uses compulsory threshold decreasing noise wavelet transform with Daubechies4 wavelet function as front end filter. Raw signal is decomposed intol2 layers. The 7th layer is taken as intermediate result. Empirical mode decomposition is taken as the second filter. Input is decomposed into 8 modes, The last one is taken as cascaded filter result. Probability density distribution is analyzed based on the filtered static gravity signal. Statistical characteristics of gravity signal are given, and the credence of the measurement result is e-valuated. The cascaded filters result is compared with the result from some airborne gravity measurement system. The method can extract weak gravity signal from noisy background. Computation cost is saved with front end filter. The cascaded filter can improve resolution of gravity measurement.关键词
重力信号/小波变换/经验模态分解/级联滤波Key words
gravity signal/ wavelet transform/ empirical mode decomposition/ cascaded filter分类
交通工程引用本文复制引用
陆泽橼,蔡体菁..重力信号的小波变换与经验模态分解级联滤波方法[J].东南大学学报（自然科学版）,2009,39(5):937-940,4.基金项目
国防科技预研资助项目(51309010202)、国家高技术研究发展计划(863计划)资助项目(2006AA06A203,2006AA12Z302). （51309010202）
