Compressive sensing-based SAR tomography

The problem of imaging multiple scattering components in SAR tomography is addressed in this work. It is proposed to exploit the sparsity of scattering components in the elevation domain by invoking the recently-proposed compressive sensing (CS) theory to achieve the separation of multiple scattering centers with fine elevation resolution. The major advantages of the proposed CS-based method over other conventional methods are evident in single snapshot scenarios with correlated scattering components. The proposed CS-based imaging method for SAR tomography is compared to the conventional MUSIC-based imaging method and the advantages of the proposed method in a variety of imaging scenarios is shown via simulations.