Discrete 2-D system identification for ISAR imaging

In this paper we address the problem of generating 2-D inverse synthetic aperture radar (ISAR) images of isolated targets through signal processing of radar reflectivity data. In particular, a new approach based on system identification theory is presented and a solution for obtaining an image estimate is described. This approach, as will be shown, offers some advantages over the conventional Fourier transform solution. The motivation for this work is the improvement of radar image quality which should result in greater success of subsequent classification procedures (either manual or automatic).