Signal Processing and Engineering Application of Ground Penetrating Radar (GPR) Based on Multi-Wavelet Transformation

Abstract:

In tunnel lining quality testing and advanced geological forecasting, the main concern is the local signals, such as the position and form of defects or the unusual mutations; while all kinds of filtering methods based on Fourier transformation reflect the overall characteristics of the signals, but can not describe the time-frequency local properties of the signals; however, the characteristics of the multi-resolution based on the wavelet transformation have the ability to show the local characteristics of the signals in terms of the time domain and frequency domain; based on the analysis of multi-wavelet theory, the paper infers the decomposition and reconstruction of CL4 multi-wavelet, discusses the necessity of multi-wavelet preprocessing and conducts the equalization treatment of CL4 multi-wavelet, realizes CL4 balanced multi-wavelet threshold filtering algorithm based on the application of MATLAB language programming, and compares with the traditional filtering effect based on Fourier transformation; the results show that the both conventional filter and CL4 balanced multi-wavelet filter can clearly distinguish the unusual targets; but the target characteristics through multi-wavelet transformation are enhanced; the lineups are clearer, the noises are removed more thoroughly, the signals are reserved more completely and the images become “clearer”. The multi-wavelet transformation provides good assistance for improvement in GPR image resolution and the definition of the target detection image, and achieves better filtering effect.

• Periodical: Applied Mechanics and Materials (Volume 729)
• Pages: 199-207
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.729.199
• Online since: January 2015
• Authors: Zhi Le Shu*, Shan Huang, Bao Xian Liu, Ke Xu
• Keywords: CL4 Multi-Wavelet, Ground Penetrating Radar, MATLAB, Signal Processing

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