Classification Of Under Ground Targets

Abstract

Early days of technology to detect landmines employed conventional techniques like Metal detector which is used to measure the disturbance of an emitted electromagnetic field caused by the presence of metallic objects in soil. Recently, GPR has been considered as an appropriate tool for detection of landmine which is used to detect buried objects by emitting radio waves into the ground and then analyzing the return signals generated by reflection of the waves at the boundaries of materials with different indexes of refraction caused by differences in electrical properties.This study presents an approach to charactering Ground Penetrating Radar (GPR) back scatter signal's echoes from buried land mines using linear combinations of exponentially damped sinusoids. The GPR signatures of landmine PMN2 buried in dry sand soil are measured using stepped frequency radar with frequency of 1.4GHz - 5GHz .The GPR back scattered signal characters are represented as a set of complex poles computed from a reflected signals. Scattering center algorithm proposed by matrix pencil which uses linear prediction along with singular value decomposition is applied to compute the pole.