ON THE SUPERRESOLUTION IDENTIFICATION OF OBSERVABLES FROM SWEPT-FREQUENCY SCATTERING DATA

A superresolution signal processing algorithm is used for the identifi cation of wavefronts from the fields scattered from several canonical targets, Particular wave objects that are examined are single and mult iple edge diffraction, scattering from flat and curved surfaces, cone diffraction, and creeping waves, The scattering data are computed nume rically via the method of moments (MoM) and are processed using a modi fied matrix-pencil algorithm. General properties of superresolution pr ocessing of such data-independent of the particular algorithm used-are assessed through examination of the Cramer-Rao (C-R) bounds for basic scattering scenarios.