Compressed sensing approach for UWB-OFDM SAR imaging using greedy algorithms

摘要

Compressed sensing (CS) approach has received significant interest in remote sensing applications recently. Only few attempts however have been reported on CS based UWB-OFDM SAR imaging. This paper presents a novel scheme for high-resolution SAR based on UWB-OFDM system using CS techniques. Enhanced resolution is obtained using UWB-OFDM waveforms and the computational burden is reduced using the CS methods. Sparse imaging methods are developed to deal with UWB-OFDM SAR using greedy algorithms including orthogonal matching pursuit (OMP), regularized OMP (ROMP) and compressive sampling matching pursuit (CoSaMP). Performance of these algorithms is analyzed and compared to conventional imaging techniques based on simulated results.