Angular Superresolution of Real Aperture Radar Using Online Detect-Before-Reconstruct Framework

被引:9
作者
Mao, Deqing [1 ]
Yang, Jianyu [1 ]
Zhang, Yongchao [1 ,2 ]
Huo, Weibo [1 ]
Luo, Jiawei [1 ]
Pei, Jifang [1 ]
Zhang, Yin [1 ]
Huang, Yulin [1 ]
机构
[1] Univ Elect Sci & Technol China UESTC, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Yangtze Delta Reg, Quzhou 32400, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2022年 / 60卷
基金
中国国家自然科学基金;
关键词
Superresolution; Radar antennas; Radar; Radar imaging; Complexity theory; Azimuth; Apertures; Angular super-resolution imaging; online detect-before-reconstruct (DBR) framework; real aperture radar (RAR); SPATIAL-RESOLUTION; SPARSE; SPICE;
D O I
10.1109/TGRS.2021.3139355
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
Superresolution methods can be applied to real aperture radar (RAR) to improve its angular resolution by solving an inverse problem. However, traditional superresolution methods are achieved after batch data collection, which requires extensive operational complexity and storage space. To solve this problem for RAR, an online detect-before-reconstruct (DBR) framework is proposed in this article based on the sparse property of targets. First, along the range direction, each sample of the echo data is detected to reduce the computational complexity by reducing the dimension of the effective data. Second, along the azimuth direction, a data-adaptive online processing structure is proposed to reduce the storage requirement for the angular superresolution problem. Finally, within the online processing structure, a target data-adaptive updating strategy is proposed to reduce the number of iterations for each target grid. The online DBR-based framework can effectively reduce the operational complexity caused by the noise values of the echo data. Based on the proposed online processing structure, the storage requirement and the operational complexity of the angular superresolution for an RAR system can be greatly reduced without significant reconstruction performance loss. The results of simulations and experimental data verify the proposed framework.
引用
收藏
页数:17
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