Pattern-Coupled Sparse Bayesian Learning for Inverse Synthetic Aperture Radar Imaging

被引：69
|
作者：
Duan, Huiping [1 ]
Zhang, Lizao [2 ]
Fang, Jun [2 ]
Huang, Lei [3 ]
Li, Hongbin [4 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Peoples R China
[3] Shenzhen Univ, Dept Elect & Informat Engn, Shenzhen, Peoples R China
[4] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA
来源：
IEEE SIGNAL PROCESSING LETTERS | 2015年 / 22卷 / 11期
基金：
美国国家科学基金会;
关键词：
Block-sparse structure; expectation-maximization (EM); ISAR; pattern-coupled sparse bayesian learning;
D O I：
10.1109/LSP.2015.2452412
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：
We propose a pattern-coupled sparse Bayesian learning method for inverse synthetic aperture radar (ISAR) imaging by exploiting a block-sparse structure inherent in ISAR target images. A two-dimensional pattern-coupled hierarchical Gaussian prior is proposed to model the pattern dependencies among neighboring scatterers on the target scene. An expectation-maximization (EM) algorithm is developed to infer the maximum a posterior (MAP) estimate of the hyperparameters, along with the posterior distribution of the sparse signal. Numerical results are provided to illustrate the effectiveness of the proposed algorithm.
引用
收藏
页码：1995 / 1999
页数：5
相关论文
共 50 条
  • [1] Continuity pattern-based sparse Bayesian learning for inverse synthetic aperture radar imaging
    Entezari, Rahim
    Rashidi, Alijabbar
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2018, 12 (03):
  • [2] Two-dimensional reweighted alternating direction method of multipliers for inverse synthetic aperture radar imaging with pattern-coupled sparse structure
    Wei, Xu
    Yang, Jun
    Lv, Mingjiu
    Chen, Wenfeng
    Ma, Xiaoyan
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2021, 15 (04)
  • [3] Bayesian Inverse Synthetic Aperture Radar Imaging
    Xu, Gang
    Xing, Mengdao
    Zhang, Lei
    Liu, Yabo
    Li, Yachao
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (06) : 1150 - 1154
  • [4] Bayesian Inverse Synthetic Aperture Radar Imaging by Exploiting Sparse Probing Frequencies
    Wang, Bin
    Zhang, Shunsheng
    Wang, Wen-Qin
    [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2015, 14 : 1698 - 1701
  • [5] Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals
    Fang, Jun
    Shen, Yanning
    Li, Hongbin
    Wang, Pu
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (02) : 360 - 372
  • [6] Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals
    Shen, Yanning
    Duan, Huiping
    Fang, Jun
    Li, Hongbin
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [7] Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning
    Wang, Lu
    Zhao, Lifan
    Rahardja, Susanto
    Bi, Guoan
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (10) : 2759 - 2771
  • [8] Inverse Synthetic Aperture Radar Sparse Imaging Exploiting the Group Dictionary Learning
    Hu, Changyu
    Wang, Ling
    Zhu, Daiyin
    Loffeld, Otmar
    [J]. REMOTE SENSING, 2021, 13 (14)
  • [9] A New Sparse Bayesian Learning Method for Inverse Synthetic Aperture Radar Imaging via Exploiting Cluster Patterns
    Fang, Jun
    Zhang, Lizao
    Duan, Huiping
    Huang, Lei
    Li, Hongbin
    [J]. COMPRESSIVE SENSING V: FROM DIVERSE MODALITIES TO BIG DATA ANALYTICS, 2016, 9857
  • [10] Autofocus approach for sparse aperture inverse synthetic aperture radar imaging
    Xiao, Da
    Su, Fulin
    Gao, Jianjun
    [J]. ELECTRONICS LETTERS, 2015, 51 (22) : 1811 - 1812
12345