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http://dx.doi.org/10.5515/JKIEES.2014.14.4.405

Target-to-Clutter Ratio Enhancement of Images in Through-the-Wall Radar Using a Radiation Pattern-Based Delayed-Sum Algorithm  

Lim, Youngjoon (The School of Electrical Engineering and Computer Science, Institute of New Media and Communications, Seoul National University)
Nam, Sangwook (The School of Electrical Engineering and Computer Science, Institute of New Media and Communications, Seoul National University)
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Abstract
In this paper, we compare the quality of images reconstructed by a conventional delayed-sum (DS) algorithm and radiation pattern-based DS algorithm. In order to evaluate the quality of images, we apply the target-to-clutter ratio (TCR), which is commonly used in synthetic aperture radar (SAR) image assessment. The radiation pattern-based DS algorithm enhances the TCR of the image by focusing the target signals and preventing contamination of the radar scene. We first consider synthetic data obtained through GprMax2D/3D, a finite-difference time-domain (FDTD) forward solver. Experimental data of a 2-GHz bandwidth stepped-frequency signal are collected using a vector network analyzer (VNA) in an anechoic chamber setup. The radiation pattern-based DS algorithm shows a 6.7-dB higher TCR compared to the conventional DS algorithm.
Keywords
Delayed-Sum Algorithm; Synthetic Aperture Radar; Target-to-Clutter Ratio; Through-the-Wall Radar Imaging;
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