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In this paper we analyze the performance of time-reversal (TR) techniques inconjunction with various Ground Penetrating Radar (GPR) pre-processing methodsaimed at improving detection of subsurface targets. TR techniques were firstdeveloped for ultrasound applications and, by exploiting the invariance of thewave equation under time reversal, can yield features such as superresolutionand statistical stability. The TR method was examined here using both syntheticand actual GPR field data under four different pre-processing strategies on theraw data, namely: mean background removal, eigenvalue background removal, asliding-window space-frequency technique, and a noise-robust spatialdifferentiator along the scan direction. Depending on the acquisition mode, itwas possible to determine with good precision the position and depth of thestudied targets as well as, in some cases, to differentiate the targets fromnearby clutter such as localized geological anomalies. The proposed methodologyhas the potential to be useful when applied to GPR data for the detection ofburied targets.

Application of time-reversal-based processing techniques to enhance detection of GPR targets