Dual channel SAR-based GMTI using weighted l1 optimization

Ground moving targets indication (GMTI) system based on dual-channel Synthetic Aperture Radar (SAR) increases data transmission and storage load. To alleviate such payloads, we propose a GMTI method using weighted l₁ optimization with reduced amount of echo samples. In this method, compressive sensing (CS) is utilized to process jointly the dual channel SAR data sampled sparsely in the azimuth direction. A transform matrix is firstly constructed to separate the energy support areas of moving targets from the energy support areas of all scattering centers. Then, clutter suppression and moving target imaging are achieved by solving a weighted l₁ norm optimization. The proposed method works well even if clutter scattering centers have a low sparse level. Simulation results demonstrate the effectiveness of the method.