Simulation of ISAR Imaging for a Space Target and Reconstruction under Sparse Sampling via Compressed Sensing

被引：0
|
作者：
Wang, Feng [1 ]
Eibert, Thomas F. [2 ]
Jin, Ya-Qiu [1 ]
机构：
[1] Fudan Univ, Key Lab Informat Sci Electromagnet Waves MoE, Shanghai 200433, Peoples R China
[2] Tech Univ Munich, Lehrstuhl Hochfrequenztech, D-80290 Munich, Germany
来源：
2014 XXXITH URSI GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM (URSI GASS) | 2014年
关键词：
ORTHOGONAL MATCHING PURSUIT; SCATTERING;
D O I：
暂无
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：
Simulation of Inverse synthetic aperture radar (ISAR) imaging of space targets and reconstruction under sparse sampling via compressed sensing (CS) are investigated. The numerical method of bidirectional analytic ray tracing (BART) is employed to compute the polarized scattering from an electrically large target. With multi-orbit and multistation imaging mode, two-D and three-D (dimensional) ISAR images are acquired. CS is introduced into the reconstruction of the ISAR image under sparse sampling. As example, a simple satellite model for the Aura satellite is presented.
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页数：4
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