高阶统计量在探地雷达数据处理中的应用  

AN APPLICATION OF THE EFFECT OF GPR DATA PROCESSING IN HIGH-ORDER STATISTICS

作　　者：谢尚平[1] 张阔 

机构地区：[1]东华理工大学核工程技术学院,江西抚州344000 [2]核工业工程勘察院,河南郑州450002

出　　处：《物探与化探》2012年第1期122-125,132,共5页Geophysical and Geochemical Exploration

摘　　要：用高阶统计量方法对探地雷达数据进行处理,基本思路是采用信号识别与检测中的高阶统计量参数,对不同模型的探地雷达数据记录进行处理与重构,结果表明不同模型具有不同阶数的高阶统计量特征。模型实验与实际应用都表明,高阶统计量对压制背景噪声和多次反射波有较好的效果。This paper introduces a method for studying the effect based on high-order statistics of GPR data.The basic idea of this method is the utilization of high-order statistical parameters in signal recognition and detection for processing and reconstruction of different models for GPR records.The model test shows that there are different high-order statistical features in different models,and the high-order statistics show obvious effect on suppressing background noise and multiple reflection of GPR data.

关 键 词：高阶统计量 探地雷达 数据处理 背景噪声压制 

分 类 号：P631[天文地球—地质矿产勘探]