ADAPTIVE SPARSE ITERATIVE REWEIGTHED SUPER-RESOLUTION METHOD FOR SCANNING RADAR IMAGING

被引：1

作者：

Zhang, Yongwei ^{[1
]}

Luo, Jiawei ^{[1
]}

Zhang, Yongchao ^{[1
,2
]}

Ren, Lihua ^{[1
]}

Zhang, Yin ^{[1
,2
]}

Huang, Yulin ^{[1
,2
]}

Yang, Jianyu ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China Chengdu, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China

[2] UESTC, Yangtze Delta Region Inst, Quzhou 324000, Peoples R China

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

基金：

中国博士后科学基金;

关键词：

Scanning radar; super-resolution imaging; adaptive sparse iterative reweighted;

D O I：

10.1109/IGARSS52108.2023.10281781

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Recently, a sparse super-resolution method relying on L-1 iterative reweighted norm (IRN) has been proposed to improve the imaging resolution of scanning radar. However, the method has poor adaptability due to the noise-sensitive user-parameter. To this end, an adaptive L-1 iterative reweighted sparse super-resolution method with no user-parameter is derived. Firstly, the scanning radar super-resolution model is established. Secondly, the user-parameter selection in the L-1-IRN method is analyzed. Finally, the adaptive iteration weights are derived by transforming the sparse estimation problem into a maximum posterior (MAP) estimation problem. Compared with the existing L-1-IRN method, the proposed method does not have any user-parameter, so it has adaptability to different signal-to-noise ratios (SNR) and is more robust. Simulation verifies the superiority of the proposed method.

引用

页码：7121 / 7124

页数：4

共 6 条

[1] Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization [J].

Dong, Weisheng ;

Zhang, Lei ;

Shi, Guangming ;

Wu, Xiaolin .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 20 (07) :1838-1857

[2] Maximum A Posteriori-Based Angular Superresolution for Scanning Radar Imaging [J].

Guan, Jinchen ;

Yang, Jianyu ;

Huang, Yulin ;

Li, Wenchao .

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2014, 50 (03) :2385-2394

[3] A Fast Sparse Azimuth Super-Resolution Imaging Method of Real Aperture Radar Based on Iterative Reweighted Least Squares With Linear Sketching [J].

Tuo, Xingyu ;

Zhang, Yin ;

Huang, Yulin ;

Yang, Jianyu .

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 :2928-2941

[4] Fast Inverse-Scattering Reconstruction for Airborne High-Squint Radar Imagery Based on Doppler Centroid Compensation [J].

Zhang, Yongchao ;

Luo, Jiawei ;

Li, Jie ;

Mao, Deqing ;

Zhang, Yin ;

Huang, Yulin ;

Yang, Jianyu .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60

[5] Angular Superresolution for Scanning Radar With Improved Regularized Iterative Adaptive Approach [J].

Zhang, Yongchao ;

Zhang, Yin ;

Huang, Yulin ;

Li, Wenchao ;

Yang, Jianyu .

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016, 13 (06) :846-850

[6] Local Correlation Ensemble with GCN Based on Attention Features for Cross-domain Person Re-ID [J].

Zhang, Yue ;

Zhang, Fanghui ;

Jin, Yi ;

Cen, Yigang ;

Voronin, Viacheslav ;

Wan, Shaohua .

ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 19 (02)

← 1 →