Multi-static synthetic aperture radar image formation

被引:0
|
作者
Krishnan, V. [1 ]
Swoboda, J. [2 ]
Yarman, C. E. [3 ]
Yazici, B. [1 ]
机构
[1] Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, 110 8th St, Troy, NY 12180 USA
[2] Mitre Corp, Bedford, MA 01730 USA
[3] WesternGeco Schlum berger, Houston Technol Ctr, Houston, TX 77042 USA
来源
COMPUTATIONAL IMAGING VIII | 2010年 / 7533卷
基金
美国国家科学基金会;
关键词
Synthetic aperture imagery; multi-static; radar; filtered-backprojection; microlocal analysis; INVERSION;
D O I
10.1117/12.848987
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we consider a multi-static synthetic aperture radar (SAR) imaging scenario where a swarm of airborne antennas, some of which are transmitting, receiving or both, are traversing arbitrary flight trajectories and transmitting arbitrary waveforms without any form of multiplexing. The received signal at each receiving antenna may be interfered by the scattered signals from multiple transmitters and the additive thermal noise at the receiver. Bi-static SAR image reconstruction algorithms result in artifacts in reconstructed images due to these interferences. In this paper, we employ microlocal analysis in a statistical setting to develop a novel filtered-backprojection (FBP) type analytic image formation method that suppresses artifacts due to interference from multiple transmitters while preserving the location and orientation of edges of the scene in the reconstructed image.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Multi-static, common volume radar observations of meteors at Jicamarca
    Malhotra, Akshay
    Mathews, John D.
    Urbina, Julio
    GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (24)
  • [42] Time synchronisation for multi-static radar via microwave and troposcatter
    Liuv, Jiye
    Chen, Xihong
    JOURNAL OF ENGINEERING-JOE, 2018, (01): : 39 - 41
  • [43] Synthetic aperture radar imaging algorithm customized for programmable optronic processor in the application of full-scene synthetic aperture radar image formation
    Sheng, Hui
    Gao, Yesheng
    Zhu, Bingqi
    Wang, Kaizhi
    Liu, Xingzhao
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [44] COMPACT ACOUSTOOPTIC PROCESSOR FOR SYNTHETIC-APERTURE RADAR IMAGE-FORMATION
    HANEY, MW
    PROCEEDINGS OF THE IEEE, 1994, 82 (11) : 1735 - 1748
  • [45] Model-based adaptive synthetic aperture radar image formation algorithm
    Gao, Yesheng
    Wang, Kaizhi
    Liu, Xingzhao
    IET RADAR SONAR AND NAVIGATION, 2013, 7 (02): : 123 - 129
  • [46] Differentiable Synthetic Aperture Radar Image Formation and Generalized Minimum Entropy Autofocus
    Kantor, Joshua M.
    2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE, 2021,
  • [47] Synthetic Aperture Radar Processing Approach for Simultaneous Target Detection and Image Formation
    Pei, Jifang
    Huang, Yulin
    Huo, Weibo
    Miao, Yuxuan
    Zhang, Yin
    Yang, Jianyu
    SENSORS, 2018, 18 (10)
  • [48] Image Expansion Approach for Target Buried in Dielectric Medium with Extended RPM to Multi-Static UWB Radar
    Niwa, Yoshihiro
    Kidera, Shouhei
    Kirimoto, Tetsuo
    IEICE TRANSACTIONS ON ELECTRONICS, 2013, E96C (01) : 119 - 123
  • [49] Exploring Distributed Scatterers Interferometric Synthetic Aperture Radar Attributes for Synthetic Aperture Radar Image Classification
    Wei, Mingxuan
    Liu, Yuzhou
    Zhu, Chuanhua
    Wang, Chisheng
    REMOTE SENSING, 2024, 16 (15)
  • [50] Synthetic aperture radar: From signal to image
    Kwak, S
    Lee, Y
    Shin, D
    Park, W
    ON THE CONVERGENCE OF BIO-INFORMATION-, ENVIRONMENTAL-, ENERGY-, SPACE- AND NANO-TECHNOLOGIES, PTS 1 AND 2, 2005, 277-279 : 799 - 804