[1]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.[doi:10.3969/j.issn.1001-0505.2009.05.014]
 Lu Zeyuan,Cai Tijing.Gravity signal transform method using wavelet transform cascaded with empirical mode decomposition[J].Journal of Southeast University (Natural Science Edition),2009,39(5):937-940.[doi:10.3969/j.issn.1001-0505.2009.05.014]
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重力信号的小波变换与经验模态分解级联滤波方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
39
期数:
2009年第5期
页码:
937-940
栏目:
仪器科学与技术
出版日期:
2009-09-20

文章信息/Info

Title:
Gravity signal transform method using wavelet transform cascaded with empirical mode decomposition
作者:
陆泽橼 蔡体菁
东南大学仪器科学与工程学院,南京 210096
Author(s):
Lu Zeyuan Cai Tijing
School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
关键词:
重力信号 小波变换 经验模态分解 级联滤波
Keywords:
gravity signal wavelet transform empirical mode decomposition cascaded filter
分类号:
U666.1
DOI:
10.3969/j.issn.1001-0505.2009.05.014
摘要:
针对动基座重力测量,提出了处理重力信号的小波变换与经验模态分解级联方法.该方法采用DB4小波函数的强制阈值小波变换作为前端滤波器,将原始信号分解为12层,提取第7层作为中间结果,运用经验模态分解方法用作第二级滤波器,将输入分解为8个模态,提取残余分量和最大尺度的逼近模态作为级联滤波结果.对静态重力数据进行概率密度分析,给出了重力的统计特性以及测量结果的可信度.级联滤波结果与某航空重力系统处理结果对比表明:级联滤波方法能够在强噪声中提取出微弱的重力信号,并且由于引入前端滤波器减少了级联滤波器整体计算量,提高了重力测量的空间分辨率.
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 into12 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 evaluated. 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.

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备注/Memo

备注/Memo:
作者简介: 陆泽橼(1982—),男,博士生; 蔡体菁(联系人),男,博士,教授,博士生导师, caitij@seu.edu.cn.
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).
引文格式: 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. [doi:10.3969/j.issn.1001-0505.2009.05.014]
更新日期/Last Update: 2009-09-20