Ground Penetrating Radar Radargram Filter using Singularity Expansion Method
2020 International Applied Computational Electromagnetics Society Symposium (ACES)(2020)
Abstract
In this paper, the singularity expansion method (SEM) is used to improve the signal-to-clutter ratio of radargrams obtained with a ground penetration radar (GPR). SEM allows to select the poles of the GPR signals corresponding to unwanted signals, clutter, and also reflections of specific buried objects. A highly reflective metallic material was used to assess the use of SEM as a tool to eliminate unwanted reflections and signals produced by a GPR. Selected clutter poles are eliminiated from each frame of the SAR image in order to keep only desired poles for analysis. Finally, the reconstructed radargram obtained applying SEM is compared with the image obtained using a wellknown processing technique. Results show that the proposed technique can be used to straightforwardly remove undesired signals measured with GPRs.
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Key words
SAR image,clutter poles,ground penetration radar,singularity expansion method,ground penetrating radar radargram filter,reconstructed radargram,highly reflective metallic material,buried objects,GPR signals,SEM
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