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

Mark McClure; Robert C. Qiu; Lawrence Carin

doi:10.1109/8.564089

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

Mark McClure, Robert C. Qiu, Lawrence Carin

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54 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	631-641
Number of pages	11
Journal	IEEE Transactions on Antennas and Propagation
Volume	45
Issue number	4
DOIs	https://doi.org/10.1109/8.564089
State	Published - Dec 1 1997
Externally published	Yes

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abstract = "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. {\textcopyright} 1997 IEEE.",

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N2 - 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.

AB - 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.

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ER -

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

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