Harkat, Houda Sidi Mohammed Ben Abdellah University - Faculty of Science and Technology Fez - Laboratory Renewable Energy And Intelligent Systems (LERSI), Morocco , Bennani, Saad Dosse Sidi Mohammed Ben Abdellah University - Faculty of Science and Technology Fez - Laboratory Renewable Energy And Intelligent Systems (LERSI), Morocco , Slimani, Abdellatif Sidi Mohammed Ben Abdellah University - Faculty of Science and Technology Fez - Laboratory Renewable Energy And Intelligent Systems (LERSI), Morocco

Time-Frequency Analysis of GPR Signal Using a Modified Hilbert Huang Approach

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In this paper, we will discuss the efficiency of a modified Hilbert Huang transform (HHT) approach [1, 2], which is largely applied to fault diagnosis for rolling bearing and vibration analysis, for the time-frequency analysis of the GPR signals. The aim of this approach is to improve the readability of the HHT spectrum and hence improving the visibility of all the events and reducing the effects of interference terms. An improved Hilbert-Huang transform (HHT) combined with wavelet packet transform (WPT) is proposed for recognizing reflected echoes in A-scans profiles. The HHT consists of Empirical Mode Decomposition (EMD) and Hilbert-Huang spectrum. Firstly, the Wavelet Packet Transform (WPT) decomposes the signal into a set of narrow band signals, then a series of Intrinsic Mode Functions (IMFs) can be obtained after application of the EMD. Where after, a screening processes is conducted on the IMFs of each narrow band signal to remove unrelated IMFs. Hilbert Transform is then employed to calculate the Hilbert amplitude spectrum. The results show that the proposed method has better discriminability than the traditional HHT and the Continuous Wavelet Transform (CWT) among different states. The proposed algorithm has the potentiality to trace the different changes, which paves a way for a better interpretation of radar profiles.

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Ground penetration radar (GPR) signal , time , frequency representation , Hilbert Huang Transform , Wavelet Packet Transform (WPT) , narrow band signals , Empirical Mode Decomposition (EMD) , Intrinsic Mode Functions (IMFs) , Continuous Wavelet Transform

Mediterranean Telecommunications Journal

40