Radar Signature Prediction for Sensing-Through-the-Wall by Xpatch and AFDTD - Part II

This paper presents computer simulations of Sensing-through-the-Wall (STTW) radar for room-imaging applications. Our main focus in this study is to evaluate the impact of certain construction details, such as pipes, ducts, gutters and roof beam structure on the radar images. We use two radar signature prediction codes for this analysis, namely Xpatch and Army Finite-difference time-domain (AFDTD). Based on the electromagnetic simulation results, we build synthetic aperture radar (SAR) images of a room containing a human, for various look angles and polarizations. To validate the radar signature modeling codes, we compare the images obtained by the two methods. Our results demonstrate good modeling accuracy for this application.