Compressed Synthetic Aperture Radar

被引：331

作者：

Patel, Vishal M. ^{[1
]}

Easley, Glenn R. ^{[2
]}

Healy, Dennis M., Jr. ^{[2
]}

Chellappa, Rama ^{[1
]}

机构：

[1] Univ Maryland, Ctr Automat Res, College Pk, MD 20742 USA

[2] Univ Maryland, Dept Math, College Pk, MD 20742 USA

来源：

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | 2010年 / 4卷 / 02期

关键词：

Synthetic aperture radar (SAR); compressed sensing (CS); compressive sensing; SIGNAL RECOVERY; UNCERTAINTY PRINCIPLES; RECONSTRUCTION; FOURIER;

D O I：

10.1109/JSTSP.2009.2039181

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：

In this paper, we introduce a new synthetic aperture radar (SAR) imaging modality which can provide a high-resolution map of the spatial distribution of targets and terrain using a significantly reduced number of needed transmitted and/or received electromagnetic waveforms. This new imaging scheme, requires no new hardware components and allows the aperture to be compressed. It also presents many new applications and advantages which include strong resistance to countermesasures and interception, imaging much wider swaths and reduced on-board storage requirements.

引用

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页码：244 / 254

页数：11

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