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| | Abstract | | In many ground penetrating radar GPR application cases, shallow subsurface targets are veiled by strong reflection from the ground wave, so at that time we need to apply a signal processing technique to try to separate the target signal from such a strong signal. In addition, the concept of the Wiener filter is one of the well-known tools in electrical engineering and radar processing for extracting known wavelets from a signal that is contaminated with noise. This paper presents two filter algorithms to carry out pulse compression for GPR using Wiener filtering technique. The technique was applied to a field GPR data acquired over a buried pipe. The first method uses the reflected signal from the pipe as the reference signal for Wiener filter. The other method uses the strong ground wave reflection as reference signal. Analysis of Wiener filter result to real GPR data could find a significant effectiveness in the GPR image. Using the ground wave reflection as reference signal we could find that the pulse width is compressed and the effect of ground wave reflection as well as the subsurface target reflection was enhanced. |
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