Nonlinear data processing method for the signal enhancement of GPR data

Chih Sung Chen, Yih Jeng*


研究成果: 雜誌貢獻期刊論文同行評審

26 引文 斯高帕斯(Scopus)


An alternative data processing procedure is proposed in this paper for the purpose of enhancing the signal/noise (S/N) ratio of ground penetrating radar (GPR) data. The processing methodology is achieved by performing the logarithmic transform in conjunction with the ensemble empirical mode decomposition (EEMD), a new nonlinear data analysis method in signal processing. The synthetic model study and field example indicate that the logarithmic transform is effective in alleviating the attenuation problem. Additionally, the spectrogram obtained from Hilbert-Huang transform (HHT) shows that the decomposition sensitivity of the EEMD method is greatly improved with the aid of the logarithmic transform. This new method allows us to extract the signal components from noisy GPR data efficiently. The success of this study suggests a possible nonlinear analysis application in future GPR investigation, particularly in the filter design and gain correction.

頁(從 - 到)113-123
期刊Journal of Applied Geophysics
出版狀態已發佈 - 2011 九月

ASJC Scopus subject areas

  • 地球物理


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