Building Layout Tomographic Imaging Based on MIMO-UWB Radar

Building layout tomographic imaging (BLTI) is a nascent technology that effectively addresses issues, such as wall cavities and offsets, encountered in traditional synthetic aperture radar (SAR) imaging. Nevertheless, the current single-input single-output (SISO) imaging system is susceptible to multipath signals (MPSs) interference, leading to issues, such as artifacts and distortions in the imaging results. In this article, a tomographic scanning system based on multiple-input multiple-output (MIMO) ultrawideband (UWB) radar is designed, which can accurately acquire the delay of direct-path signals (DPSs) delay by the similarities of DPS across different channels. Next, a linear tomographic projection model is established according to the relationship between DPS delay and the scene to be imaged. Furthermore, a joint sparse imaging algorithm with adaptive projection matrix modification (JS-APMM) is proposed. It takes into consideration the prior information of building layout and material to improve imaging quality under limited data. Finally, simulation and experimental results demonstrate the superiority of the proposed method over the single-input single-output (SISO) imaging system and state-of-the-art compressed sensing algorithms.