ORBITAL ANGULAR MOMENTUM-BASED TWO-DIMENSIONAL SUPER-RESOLUTION TARGETS IMAGING

被引：0
作者：
Chen, Rui [1 ]
Long, Wen-xuan [1 ]
Gao, Yue [2 ]
Li, Jiandong [1 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian, Shaanxi, Peoples R China
[2] Queen Mary Univ London, Sch EE & CS, London E1 4NS, England
来源：
2018 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2018) | 2018年
关键词：
Electromagnetic vortex wave; orbital angular momentum (OAM); two-dimensional (2-D) target imaging; estimating signal parameter via rotational invariance techniques (ESPRIT);
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：
Without relative motion or beam scanning, orbital-angular-momentum (OAM)-based radar is shown to be able to estimate azimuth of targets, which opens a new perspective for traditional radar techniques. However, the existing application of two-dimensional (2-D) fast Fourier transform (FFT) and multiple signal classification (MUSIC) algorithms in OAM-based radar targets detection doesn't realize 2-D super-resolution and robust estimation. Therefore, in this paper we propose a 2-D OAM radar targets detection method based on estimating signal parameter via rotational invariance (ESPRIT) algorithm. Our analysis and simulation results validate that OAM-based radar could achieve robust 2-D super-resolution imaging.
引用
收藏
页码：1243 / 1246
页数：4
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