Advances on Compressive Sensing Based Approaches for Inverse Scattering

被引：0
|
作者：
Poli, L. [1 ]
Oliveri, G. [1 ]
Viani, F. [1 ]
Massa, A. [1 ,2 ]
Moriyama, T. [3 ]
机构：
[1] Univ Trento, ELEDIA Res Ctr DISI, Trento, Italy
[2] Univ Paris 11, CNRS, Digiteo Chair L2S, Gif Sur Yvette, France
[3] Nagasaki Univ, Dept Elect & Elect Engn, Nagasaki 852, Japan
来源：
2015 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING | 2015年
关键词：
APPROXIMATION;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The application of the Compressive Sensing (CS) paradigm to the solution of three-dimensional inverse scattering problems is discussed. More in detail, the use of CS-based techniques to address linear and sparseness-regularized microwave imaging formulations is discussed, the application of this paradigm to the retrieval of 3D profiles which are voxel-sparse is addressed. A preliminary set of numerical examples is presented to point out advantages and limitations of the considered methodology.
引用
收藏
页码：390 / 391
页数：2
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