基于探地雷达信号处理的小波基选取研究  

Study on selection of wavelet basis based on processing of GPR signal

作　　者：张华[1] 刘松[2] 张志勇[1] 魏孔鹏[3] 

机构地区：[1]东华理工大学核工程技术学院,抚州344000 [2]煤炭科学研究总院西安研究院地震勘探研究所,西安710054 [3]东华理工大学网络与信息中心,抚州344000

出　　处：《地球物理学进展》2009年第3期1115-1121,共7页Progress in Geophysics

基　　金：东华理工大学校长基金项目(DHXK0825)资助.

摘　　要：针对探地雷达信号处理和分析时小波基选取存在的问题,本文在分析探地雷达信号特点的基础上,首先从理论上讨论小波基的选取准则,然后再从实验角度进行对比、判别,认为在进行小波分解和重构时应该分别选择不同的小波基函数进行处理,这样可以保证重构信号的精确度,增强对信号的处理能力,从而也突破了以往分解与重构时都采用同一个小波基进行处理的做法.最后通过实际资料的处理,指出bior2.6小波基在进行雷达信号处理时效果最佳,不仅去噪彻底,而且能够保留有效信号的高频部分,提高信号的分辨率和信噪比,为后续解释工作打好了基础.In order to solve the difficult problem on wavelet basis selection for the processing and analysis of GPR signal, the characteristics of GPR signal are analyzed in detail, On basis of this, firstly the paper discusses the criterion of wavelet basis selection in theory. Then we compare and distinguish in experiments, and if we want to assurance the accuracy of the signal reconstruction and enhance the ability of processing signal we should select a different wavelet basis in decomposition and reconstruction of wavelet transform individually, and breaking through the way that selects a same wavelet basis to process signal conventionally. Finally through processing the field data we present the wavelet basis of bior 2.6 that has a best effect in processing the GPR, signal. It not only eliminates the noise thoroughly, but also preserves high frequency signal of effective wave, and raises the signal/noise ratio and resolution of GPR signal. Meanwhile it is a good foundation for subsequent interpretive work.

关 键 词：小波变换 小波基 探地雷达 去噪 

分 类 号：TG115[金属学及工艺—物理冶金]