Three-dimensional imaging of through-wall radar based on compressed sampling in the frequency domain

Abstract

Three-dimensional imaging of through-the-wall radar is an important branch in the field of covert target identification, and the commonly used technique is backward projection imaging, which compensates for the time delay information between the transceiver antennas and coherently superimposes the echo signals of each aperture in space to finally project a three-dimensional image. Because of its unique characteristics, the imaging algorithm is computationally huge and difficult to be applied in practical engineering. In this paper, we address this situation by focusing the image reconstruction problem in the framework of compressive sampling based on SFCW-MIMO radar, and propose a 3D imaging technique for through-wall radar with compressive sampling in the frequency domain. Through actual measurement data verification, it is proved that this method has faster image reconstruction speed and better imaging quality, which promotes the practical application of through-wall radar 3D imaging.