Modelling of continuously distributed target for bistatic synthetic aperture radar imaging

被引:0
|
作者
Chen, Xinliang [1 ]
Fan, Yujie [1 ]
Wei, Yangkai [1 ]
Ding, Zegang [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing Key Lab Embedded Real Time Informat Proc, Beijing, Peoples R China
来源
JOURNAL OF ENGINEERING-JOE | 2020年 / 2020卷 / 03期
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
synthetic aperture radar; radar imaging; image sampling; radar cross-sections; point target model; parameterised model; bistatic synthetic aperture radar imaging; continuously distributed target modelling; image sampling strategy; discretisation grid strategy; radar echo data generation; SAR imaging simulation;
D O I
10.1049/joe.2019.0313
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The point target model is widely used in the synthetic aperture radar (SAR) imaging simulation. Based on this model, the radar echo of a continuously distributed target can be expressed as the linear summation of the echo of many point targets which are known as scatters. However, the discretisation strategy is problematic. The discretisation grid must be very fine to assure convergence, thus the computation burden is heavy. Moreover, the result depends on how the target is discretised. It is shown that the SAR image generated from this model of the same target is inconsistent when using different sampling strategy. To overcome these drawbacks, a parameterised model is proposed in this study, which not only greatly reduce the amount of calculation, but also guarantee consistency of the results. Finally, the correctness of the proposed model is verified by SAR imaging results from the generated echo data.
引用
收藏
页码:107 / 110
页数:4
相关论文
共 50 条
  • [21] BISTATIC SYNTHETIC APERTURE RADAR INVERSION WITH APPLICATION IN DYNAMIC OBJECT IMAGING
    SOUMEKH, M
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1991, 39 (09) : 2044 - 2055
  • [22] BISTATIC SYNTHETIC APERTURE RADAR IMAGING WITH MULTI-GNSS TRANSMITTERS
    Zhang, Yun
    Qi, Xin
    Li, Hongbo
    Mu, Huilin
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 2909 - 2912
  • [23] Parameter estimation and imaging of moving targets in bistatic synthetic aperture radar
    Li, Yu
    Huang, Puming
    Yang, Zhimei
    Lin, Chenchen
    JOURNAL OF APPLIED REMOTE SENSING, 2016, 10
  • [24] Bistatic Synthetic Aperture Radar Imaging Using UltraNarrowband Continuous Waveforms
    Wang, Ling
    Yazici, Birsen
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (08) : 3673 - 3686
  • [25] Bistatic inverse synthetic aperture radar imaging method for maneuvering targets
    Sun Sibo
    Yuan Yeshu
    Jiang Yicheng
    JOURNAL OF APPLIED REMOTE SENSING, 2016, 10
  • [26] Inverse synthetic aperture radar imaging of maneuvering target with distributed high resolution radars
    Liu, Tong
    Li, Jin
    Pi, Yiming
    Yang, Xu
    JOURNAL OF APPLIED REMOTE SENSING, 2018, 12 (02):
  • [27] Automatic Target Recognition using Multipolar Bistatic Synthetic Aperture Radar Images
    Mishra, Amit Kumar
    Bernard, Mulgrew
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2010, 46 (04) : 1906 - 1920
  • [28] Theory of synthetic aperture radar imaging of a moving target
    Jao, JK
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (09): : 1984 - 1992
  • [29] A TOMOGRAPHIC FORMULATION OF BISTATIC SYNTHETIC APERTURE RADAR
    ARIKAN, O
    MUNSON, DC
    LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES, 1989, 129 : 289 - 302
  • [30] Bistatic synthetic aperture radar data processing
    Rodriguez-Cassola, M., 1600, Deutschen Forschungsanstalt fur Luft-und Raumfahrt