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

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

PDF(164 KB)
PDF(164 KB)
长江科学院院报 ›› 2005, Vol. 22 ›› Issue (4) : 30-33.
信息技术应用

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
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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
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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。

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.

关键词

高阶统计量 / 弱信号识别 / 双谱时频分析 / 地质孔洞

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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 Changjiang River Scientific Research Institute. 2005, 22(4): 30-33

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