Moving targets in synthetic aperture images: a Bayesian approach

This paper presents a novel method to determine the complete velocity vector of a moving target using a single synthetic aperture radar (SAR) sensor. The method exploits the structure of the returned echo from a moving target: in the slow-time frequency domain, it is a scaled and shifted replica of the antenna radiation pattern immersed in Gaussian noise; the scale and the shift are related with the slant-range and the cross-range velocities, respectively. A Bayesian approach is then adopted to derive an estimator for the velocity vector. Simulation results illustrating the estimator effectiveness are presented