Compressed sensing SAR moving target imaging in the presence of basis mismatch

In this paper, we present compressed sensing (CS) imaging of synthetic aperture radar (SAR) moving targets when there is a basis mismatch. We use Gaussian-Bernoulli prior for CS SAR reconstruction. Analysis using Cramer-Rao bounds show that using the prior results in performance improvement in the presence of mismatch compared to Laplacian prior. We further show that the more serious velocity mismatch can be dealt with using an iterative procedure. Simulation results show the effectiveness of the proposed method.