On the superresolution identification of observables from swept-frequency scattering data


Journal Article

A superresolution signal processing algorithm is used for the identification of wavefronts from the fields scattered from several canonical targets. Particular wave objects that are examined are single and multiple edge diffraction, scattering from flat and curved surfaces, cone diffraction, and creeping waves. The scattering data are computed numerically via the method of moments (MoM) and are processed using a modified matrix-pencil algorithm. General properties of superresolution processing of such data-independent of the particular algorithm used-are assessed through examination of the Cramer-Rao (C-R) bounds for basic scattering scenarios. © 1997 IEEE.

Full Text

Duke Authors

Cited Authors

  • McClure, M; Qiu, RC; Carin, L

Published Date

  • December 1, 1997

Published In

Volume / Issue

  • 45 / 4

Start / End Page

  • 631 - 641

International Standard Serial Number (ISSN)

  • 0018-926X

Digital Object Identifier (DOI)

  • 10.1109/8.564089

Citation Source

  • Scopus