Wide-Angle Synthetic Aperture Radar Imaging [Models and algorithms for anisotropic scattering]

被引：72

作者：

Ash, Joshua N.

Ertin, Emre ^{[1
,2
]}

Potter, Lee C. ^{[1
,3
]}

Zelnio, Edmund G. ^{[4
,5
]}

机构：

[1] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA

[2] Battelle Mem Inst, Core Technol Grp, Columbus, OH 43201 USA

[3] Ohio State Univ, Davis Heart & Lung Res Inst, Columbus, OH 43210 USA

[4] AFRL, Wright Patterson AFB, OH USA

[5] AFRL, Automat Target Recognit Div, Sensors Directorate, Wright Patterson AFB, OH USA

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2014年 / 31卷 / 04期

基金：

美国国家科学基金会;

关键词：

SPARSE REPRESENTATION; SPECTRAL ESTIMATION; SAR; FORMULATION; VEHICLES; BAND;

D O I：

10.1109/MSP.2014.2311828

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：

Advances in radar hardware have enabled the sensing of ever-wider synthesized apertures. In this article, radar video?a sequence of radar images indexed on subaperture?is discussed as a natural, convenient, and revealing representation to capture wide-angle scattering behavior of complex objects. We review the inverse problem of recovering wide-angle scene reflectivity from synthetic aperture radar (SAR) measurements, survey signal processing approaches for its solution, and introduce a novel Bayesian estimation method. Examples from measured and simulated scattering data are presented to illustrate scattering behavior conveniently revealed by the SAR video framework. © 2014 IEEE.

引用

页码：16 / 26

页数：11

共 30 条

[1] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].