Detection and Classification of Buried Improvised Explosive Devices using Cauchy Method

This paper presents a technique of detection and classification for an improvised explosive device buried underground. With the proposed technique, a GPR system is used to collect signals used to construct B-scan images. The Cauchy method is employed to directly extract poles from the frequency response obtained from the GPR system. The buried objects i.e. gas tank and empty holes are classified by using the extracted poles. The simulations were performed by using an EM software in order to evaluate the performance of the proposed technique. In the simulations, the single-layer and multi-layer soil are taken into account to investigate the effect of layer interface. Results are shown that the proposed technique with the Cauchy method can detect and classify the buried objects through extracted poles.