Through-the-Wall Synthetic Aperture Radar Imaging Using 2-D Spectral Estimation Methods

Abstract

In this study, adaptive signal processing algorithms are investigated to obtain high-resolution radar images of concealed targets. For this purpose, a vector network analyzer is used as a stepped frequency continuous wave-based radar system, and B-scan radar data is collected from concealed targets. synthetic aperture radar algorithm is applied to raw data to improve the azimuth resolution. Then, 2D Capon and MUSIC spectral estimation methods are implemented to the data obtained by the synthetic aperture radar algorithm for through-the-wall imaging applications. Fusion of synthetic aperture radar and spectral estimation methods are represented to compare enhanced image quality for better target detection. © 2022 Elsevier B.V., All rights reserved.