高阶统计量弱信号识别方法在识别地质孔洞中的应用

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

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。

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.