Time-Slotted FMCW MIMO ISAR with Compressive Sensing Image Reconstruction

被引：0

作者：

Bacci, A. ^{[1
,2
]}

Giusti, E. ^{[1
,2
]}

Tomei, S. ^{[1
,2
]}

Martorella, M. ^{[1
,2
]}

Berizzi, F. ^{[1
,2
]}

机构：

[1] Univ Pisa, Dept Informat Engn, I-56100 Pisa, Italy

[2] Natl Interuniv Consortium Telecommun CNIT, Radar & Surveillance Syst RaSS Natl Lab, I-56124 Pisa, Italy

来源：

2015 3RD INTERNATIONAL WORKSHOP ON COMPRESSED SENSING THEORY AND ITS APPLICATION TO RADAR, SONAR, AND REMOTE SENSING (COSERA) | 2015年

关键词：

RADAR; ANTENNAS;

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：

Compressive Sensing (CS) has been proven as an effective tool to reconstruct ISAR images from incomplete data. This capability is exploited in this paper to reconstruct images from gapped data which emulate the data received in a MIMO system, in which the transmitted signals are orthogonal. The proposed architecture can be exploited in the design of a MIMO ISAR system. In this paper the signal modelling is presented and the architecture described. Results on real dataset prove the effectiveness of the proposed approach.

引用

页码：229 / 233

页数：5