高阶统计量弱信号识别方法在识别地质孔洞中的应用

长江科学院院报 ›› 2005, Vol. 22 ›› Issue (4): 30-33.

高阶统计量弱信号识别方法在识别地质孔洞中的应用

杨宇山, 刘天佑, 王法刚, 李媛媛

出版日期:2005-08-01 发布日期:2012-03-05

Weak Signal Identification Method Based on Higher－order Statisticsand Its Application in Detecting Cavities

YANG Yu-Shan, LIU Tian-You, WANG Fa-Gang, LI Yuan-Yuan

Online:2005-08-01 Published:2012-03-05

摘要/Abstract

摘要： 介绍了基于高阶统计量（HOS）的一种识别地质孔洞的新方法，该方法通过对探地雷达信号进行双谱时频分析（BTFA），提取由孔洞引起的信号高斯性变化来识别地下溶洞。理论分析和实验结果表明，HOS方法能够有效地识别出高斯信号强干扰下的非高斯微弱信号，对孔洞识别的结果直观、清晰。

关键词: 高阶统计量, 弱信号识别, 双谱时频分析, 地质孔洞

Abstract: Based on the higher －order －statistics (HOS), a new method for identifying geologic cavities was introduced. By bispectrum time －frequency analysis (BTFA) to GPR signals, the variation of Gaussian properties generated from the geologic cavities to identify it was obtained. Theoretical and experimental results indicated that, the higher －order －statistics method is capable of recognizing the non－Gaussian signals under the disturbance of the strong Gaussian noise, and it can obtain clearer results than traditional methods when being applied to detect cavities.

杨宇山, 刘天佑, 王法刚, 李媛媛. 高阶统计量弱信号识别方法在识别地质孔洞中的应用[J]. 长江科学院院报, 2005, 22(4): 30-33.

YANG Yu-Shan, LIU Tian-You, WANG Fa-Gang, LI Yuan-Yuan. Weak Signal Identification Method Based on Higher－order Statisticsand Its Application in Detecting Cavities[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2005, 22(4): 30-33.