3-D Ground-Based Imaging Radar Based on C-Band Cross-MIMO Array and Tensor Compressive Sensing

被引：25

作者：

Feng, Weike ^{[1
]}

Friedt, Jean-Michel ^{[2
]}

Nico, Giovanni ^{[3
,4
]}

Sato, Motoyuki ^{[5
]}

机构：

[1] Tohoku Univ, Grad Sch Environm Studies, Sendai, Miyagi 9808572, Japan

[2] FEMTO ST, Time & Frequency Dept, F-25000 Besancon, France

[3] CNR, IAC, I-70126 Bari, Italy

[4] SPSU, Dept Cartog & Geoinformat, St Petersburg 199034, Russia

[5] Tohoku Univ, Ctr Northeast Asian Studies, Sendai, Miyagi 9808576, Japan

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2019年 / 16卷 / 10期

基金：

日本学术振兴会;

关键词：

3-D imaging; compressive sensing (CS); cross multiple input multiple output (MIMO); iterative adaptive approach (IAA); pseudo-polar spherical coordinate;

D O I：

10.1109/LGRS.2019.2906077

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

We designed a ground-based radar system with a C-band 2-D cross multiple input multiple output (MIMO) array for 3-D imaging and displacement estimation purposes. For this system, we developed a far-field pseudo-polar image format algorithm using pseudo-polar spherical coordinate. The use of a tensor compressive sensing technique allows to focus under-sampled raw data and to optimize the data acquisition time and memory usage. A novel algorithm, named as tensor-based iterative adaptive approach, is proposed for the effective and efficient reconstruction of sparse targets with a reduced level of sidelobes. Experimental results validate the designed radar system and the proposed algorithms.

引用

页码：1585 / 1589

页数：5

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