An Adaptive ISAR Imaging Method Based on Evidence Framework

This letter presents an adaptive inverse synthetic aperture radar (ISAR) imaging algorithm based on evidence framework. This imaging algorithm iterates between sparse coding and parameter estimation until a fixed number of iterations is reached. An efficient Hessian update scheme is applied for sparse coding. In the parameter estimation step, the closed forms of parameters are obtained based on evidence framework. Experiments based on simulated and measured data are given to show the efficiency of the proposed ISAR imaging algorithm.