MULTICHANNEL RADAR FORWARD LOOKING SUPERRESOLUTION IMAGING VIA ATOMIC NORM MINIMIZATION

被引：2
|
作者：
Chen, Rui [1 ]
Li, Wenchao [1 ]
Li, Kefeng [1 ]
Yang, Jianyu [1 ]
Huang, Yulin [1 ]
机构：
[1] Univ Elect Sci & Technol China, Chengdu 611731, Peoples R China
来源：
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年
基金：
中国国家自然科学基金;
关键词：
Multichannel radar; forward-looking imaging; super-resolution; off-grid;
D O I：
10.1109/IGARSS52108.2023.10282333
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
With multiple channels receiving echoes in azimuth, multi-channel radar has the potential of forward looking high resolution imaging. However, due to the limitation of platform size, its azimuth resolution is poor. In this paper, by considering the effect of platform motion and off-grid problem, a multichannel radar forward looking superresolution imaging method based on atomic norm minimization is proposed. Simulation results are illustrated to verify the effectiveness of the method.
引用
收藏
页码：7918 / 7921
页数：4
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