Compressive sensing imaging for general synthetic aperture radar echo model based on Maxwell's equations

被引：2
|
作者：
Sun, Bing [1 ,2 ]
Cao, Yufeng [2 ,3 ]
Chen, Jie [1 ]
Li, Chunsheng [1 ]
Qiao, Zhijun [2 ]
机构：
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Univ Texas Pan Amer, Dept Math, Edinburg, TX 78539 USA
[3] Washington State Univ, Dept Math, Pullman, WA 99163 USA
来源：
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING | 2014年
关键词：
Compressive sensing; General echo model; Maxwell's equations; Synthetic aperture radar; SIGNAL RECOVERY;
D O I：
10.1186/1687-6180-2014-153
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：
A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell's equations. After analyzing the relationship between the general echo model in frequency domain and the existing model in time domain, a compressive sensing (CS) matrix is constructed from random partial Fourier matrices for processing the range CS SAR imaging. Simulations validate the orthogonality of the proposed CS matrix and the feasibility of CS SAR imaging based on the general echo model.
引用
收藏
页码：1 / 10
页数：10
相关论文
共 50 条
  • [1] Compressive sensing imaging for general synthetic aperture radar echo model based on Maxwell’s equations
    Bing Sun
    Yufeng Cao
    Jie Chen
    Chunsheng Li
    Zhijun Qiao
    EURASIP Journal on Advances in Signal Processing, 2014
  • [2] Compressive sensing for a general SAR imaging model based on Maxwell's equation
    Sun, Bing
    Gu, Haicheng
    Hu, Mengqi
    Qiao, Zhijun
    COMPRESSIVE SENSING IV, 2015, 9484
  • [3] Compressive Sensing for Ground Based Synthetic Aperture Radar
    Pieraccini, Massimiliano
    Rojhani, Neda
    Miccinesi, Lapo
    REMOTE SENSING, 2018, 10 (12):
  • [4] Bayesian compressive sensing in synthetic aperture radar imaging
    Xu, J.
    Pi, Y.
    Cao, Z.
    IET RADAR SONAR AND NAVIGATION, 2012, 6 (01) : 2 - 8
  • [5] Compressive Sensing Inverse Synthetic Aperture Radar Imaging Based on Gini Index Regularization
    Can Feng
    Liang Xiao
    Zhi-Hui Wei
    International Journal of Automation and Computing, 2014, (04) : 441 - 448
  • [6] Compressive sensing inverse synthetic aperture radar imaging based on Gini index regularization
    Feng C.
    Xiao L.
    Wei Z.-H.
    International Journal of Automation and Computing, 2014, 11 (4) : 441 - 448
  • [7] A novel strategy for inverse synthetic aperture radar imaging based on improved compressive sensing
    Ren, Xiaozhen
    Qiao, Lihong
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2016, 11 (02) : 140 - 145
  • [8] COMPRESSED SYNTHETIC APERTURE RADAR IMAGING BASED ON MAXWELL EQUATION
    Arief, Rahmat
    Sudiana, Dodi
    Ramli, Kalamullah
    JURNAL TEKNOLOGI, 2016, 78 (6-3): : 15 - 22
  • [9] SYNTHETIC APERTURE RADAR FOCUSING BASED ON BACK-PROJECTION AND COMPRESSIVE SENSING
    Focsa, Adrian
    Anghel, Andrei
    Toma, Stefan-Adrian
    Datcu, Mihai
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 2376 - 2379
  • [10] Raw Data Compress Method of Synthetic Aperture Radar Based on Compressive Sensing
    Li, Shiyong
    Huang, Hongbin
    Ren, Bailing
    Sun, Houjun
    2013 IEEE INTERNATIONAL CONFERENCE ON MICROWAVE TECHNOLOGY & COMPUTATIONAL ELECTROMAGNETICS (ICMTCE), 2013, : 35 - 38
12345