A Modified Keystone-Based Forward-Looking Arc Array Synthetic Aperture Radar 3D Imaging Method

被引:3
作者
Zhu, Xiaofan [1 ,2 ]
Huang, Pingping [1 ,2 ]
Xu, Wei [1 ,2 ]
Tan, Weixian [1 ,2 ]
Qi, Yaolong [1 ,2 ]
机构
[1] Inner Mongolia Univ Technol, Coll Informat Engn, Hohhot 010051, Peoples R China
[2] Inner Mongolia Key Lab Radar Technol & Applicat, Hohhot 010051, Peoples R China
基金
中国国家自然科学基金;
关键词
synthetic aperture radar (SAR); arc array; forward motion of the carrier platform; first-order term approximation method; improved keystone-based processing; spatial resolution; SAR; TRANSFORM;
D O I
10.3390/s23052674
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
An arc array synthetic aperture radar (AA-SAR) is a new type of omnidirectional observation and imaging system. Based on linear array 3D imaging, this paper introduces a keystone algorithm combined with the arc array SAR 2D imaging method and proposes a modified 3D imaging algorithm based on keystone transformation. The first step is to discuss the target azimuth angle, retain the far-field approximation method of the first-order term, analyze the influence of the forward motion of the platform on the along-track position, and realize the two-dimensional focusing of the target slant range-azimuth direction. The second step is to redefine a new azimuth angle variable in the slant-range along-track imaging and use the keystone-based processing algorithm in the range frequency domain to eliminate the coupling term generated by the array angle and the slant-range time. The corrected data are used to perform along-track pulse compression to obtain the focused image of the target and realize the three-dimensional imaging of the target. Finally, in this article, the spatial resolution of the AA-SAR system in the forward-looking state is analyzed in detail, and the change in the spatial resolution of the system and the effectiveness of the algorithm are verified through simulation.
引用
收藏
页数:18
相关论文
共 29 条
  • [1] A Radar Detection Method of Plasma-Sheath-Covered Target Based on the Improved Keystone Algorithm
    Bai, Bowen
    Ding, Yi
    Li, Xiaoping
    Liu, Yanming
    [J]. REMOTE SENSING, 2022, 14 (19)
  • [2] Bennett J.R., 1980, P INT RADAR C
  • [3] Parallel Optimisation and Implementation of a Real-Time Back Projection (BP) Algorithm for SAR Based on FPGA
    Cao, Yue
    Guo, Shuchen
    Jiang, Shuai
    Zhou, Xuan
    Wang, Xiaobei
    Luo, Yunhua
    Yu, Zhongjun
    Zhang, Zhimin
    Deng, Yunkai
    [J]. SENSORS, 2022, 22 (06)
  • [4] [陈琦 Chen Qi], 2008, [电子与信息学报, Journal of Electronics & Information Technology], V30, P228
  • [5] Research on Configuration Constraints of Airborne Bistatic SARs
    Chen, Yidi
    Chen, Renwen
    Liu, Hao
    Guo, Jiapeng
    Wang, Yujie
    Zhang, Junyi
    [J]. SENSORS, 2022, 22 (17)
  • [6] Drone-Based 3D Synthetic Aperture Radar Imaging with Trajectory Optimization
    Drozdowicz, Jedrzej
    Samczynski, Piotr
    [J]. SENSORS, 2022, 22 (18)
  • [7] An Adjusted Frequency-Domain Algorithm for Arc Array Bistatic SAR Data with One-Moving Transmitter
    Huang, Pingping
    Hao, Lingxia
    Tan, Weixian
    Xu, Wei
    Qi, Yaolong
    [J]. SENSORS, 2022, 22 (13)
  • [8] Focusing Arc-Array Bistatic Synthetic Aperture Radar Data Based on Keystone Transform
    Huang, Pingping
    Li, Kai
    Xu, Wei
    Tan, Weixian
    Gao, Zhiqi
    Li, Yachao
    [J]. ELECTRONICS, 2019, 8 (12)
  • [9] Investigation of Wavenumber Domain Imaging Algorithm for Ground-Based Arc Array SAR
    Huang, Zengshu
    Sun, Jinping
    Tan, Weixian
    Huang, Pingping
    Han, Kuoye
    [J]. SENSORS, 2017, 17 (12)
  • [10] Krieger G., 2001, P 2 INT S IMAGE SIGN, V2001