A Generalized Approach for SAR and MIMO Radar Imaging of Building Interior Targets With Compressive Sensing

Abstract

Most existing methods on compressive sensing (CS) for through-the-wall radar imaging (TWRI) are developed for monostatic synthetic aperture radar (SAR) and are only capable of target imaging behind a single-layer wall. In this letter, a generalized Green's function-based approach for the imaging of targets behind single- or multilayered building walls with CS is proposed. The approach is applicable to both SAR and multiple-input-multiple-output (MIMO) radar. By exploiting the sparsity of the target space, a less cluttered high-resolution image can be achieved with far fewer measurements. The number of antenna elements in the MIMO radar system can be significantly reduced using the proposed approach, resulting in an overall reduction of the complexity and cost of MIMO radar for TWRI applications. Numerical results are presented to show that high-quality focused image can be achieved under various wall-target scenarios for both SAR and MIMO radar.