Omega-K Imaging Algorithm for One-Stationary Bistatic SAR

In bistatic synthetic aperture radar (BSAR) with one-stationary station, azimuth variation is a major problem. In this paper, based on the two-dimensional (2D) spatial linearization of the accurate analytical point target reference spectrum, an Omega-K imaging algorithm to deal with this problem is proposed. Different from the traditional Omega-K algorithms for monostatic SAR and translational invariant BSAR, the approach uses a 2D Stolt frequency transformation. In addition, a compensation method for the phase error caused by the linearization and the related geometry registration are also discussed. Numerical simulations verify the effectiveness of the proposed method.