| 重力信号的小波变换与经验模态分解级联滤波方法 |
| |
| 引用本文： | 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). |
| |
| 作者姓名： | 陆泽橼 蔡体菁 |
| |
| 作者单位： | 东南大学仪器科学与工程学院,南京,210096 |
| |
| 基金项目： | 国防科技预研资助项目，国家高技术研究发展计划(863计划)资助项目 |
| |
| 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.
|
| 关 键 词： | 重力信号 小波变换 经验模态分解 级联滤波 |
Gravity signal transform method using wavelet transform cascaded with empirical mode decomposition |
| |
| 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). |
| |
| Authors: | Lu Zeyuan Cai Tijing |
| |
| Institution: | Lu Zeyuan Cai Tijing(School of Instrument Science , Engineering,Southeast University,Nanjing 210096,China) |
| |
| 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 den... |
| |
| Keywords: | gravity signal wavelet transform empirical mode decomposition cascaded filter |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
