Sidelobe Reduction for UWB Radar Imaging Based on Spatial Spectrum Coherence Factor

Abstract

Ultra-wideband (UWB) radar imaging has been applied in various applications such as synthetic aperture radar (SAR) imaging, through-wall-radar imaging and terahertz imaging. High level sidelobes raised by imaging approaches have serious impact on the image quality. In this paper a sidelobe reduction method for UWB radar imaging is proposed. The spatial spectrum coherence factor (CF) based sidelobe reduction method reduces the sidelobes and keeps the mainlobes simultaneously. The simulated and real data results have validated the effective, stable and convenient method.