Radar Signature Prediction for Sensing-through-the-Wall by Xpatch and AFDTD

Abstract

This paper presents computer simulations of Sensing-Through-the-Wall (STTW) radar for room imaging applications. The main purpose of our investigation is to validate the radar signature prediction codes used in this type of analysis, namely Xpatch and the Finite-Difference Time-Domain (FDTD). Based on the electromagnetic simulation results, we build synthetic aperture radar (SAR) images of a complex room containing humans and furniture objects, for various look angles and polarizations. We compare the images obtained by the two modeling methods, demonstrating good accuracy for this type of application.