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

被引：44
作者：
McClure, M
Qiu, RC
Carin, L
机构：
[1] Department of Electrical Engineering, Duke University, Durham
来源：
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 1997年 / 45卷 / 04期
关键词：
electromagnetic scattering; inverse problems;
D O I：
10.1109/8.564089
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：631 / 641
页数：11
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