Compressive sensing for interferometric inverse synthetic aperture radar applications

被引：18

作者：

Bacci, Alessio ^{[1
,2
]}

Stagliano, Daniele ^{[1
,2
]}

Giusti, Elisa ^{[2
]}

Tomei, Sonia ^{[1
,2
]}

Berizzi, Fabrizio ^{[1
,2
]}

Martorella, Marco ^{[1
,2
]}

机构：

[1] Univ Pisa, Dept Informat Engn, Pisa, Italy

[2] CNIT Radar & Surveillance Syst RaSS Natl Lab, Pisa, Italy

来源：

IET RADAR SONAR AND NAVIGATION | 2016年 / 10卷 / 08期

关键词：

GENERALIZED ISAR; 3D;

D O I：

10.1049/iet-rsn.2015.0563

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：

The applicability of interferometric inverse synthetic aperture radar (InISAR) techniques to images reconstructed via compressive sensing (CS)-based algorithms is investigated. Specifically, the three-dimensional (3D) reconstruction algorithm is applied after exploiting CS for data compression and image reconstruction. The InISAR signal model is derived and formalised in a CS framework. A comparison between conventional CS reconstruction and global sparsity constrained reconstruction techniques is performed for different compression rates and different signal-to-noise ratio conditions. Performances on the 2D and 3D reconstructions are evaluated. Results obtained on real data acquired during the NATO-SET 196 trial are shown.

引用

页码：1446 / 1457

页数：12

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