Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging

被引:1
|
作者
Albaba, Adnan [1 ]
Bauduin, Marc [2 ]
Sahli, Hichem [1 ]
Bourdoux, Andre [2 ]
机构
[1] ETRO VUB, Imec Leuven, Leuven, Belgium
[2] Imec Leuven, Leuven, Belgium
关键词
Radar imaging; FL-SAR; DBS; synthetic aperture radar; angular resolution; MIMO; complexity reduction; backprojection; 3D image reconstruction; volumetric SAR;
D O I
10.1109/RADARCONF2351548.2023.10149651
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this paper, the three-dimensional (3-D) imaging problem of monostatic forward-looking synthetic aperture radar (FL-SAR) is analyzed. A 3-D guided-and-decimated back-projection (3-D GDBP) algorithm is proposed for reducing the computational complexity of 3-D FL-SAR image reconstruction. This is done by combining range and Doppler processing together with decimation along the slow-time samples and backprojection along the fast-time samples. In addition, the geometry and frequency-modulated continuous wave (FMCW) signal model for the 3-D FL-SAR problem are presented. Finally, the performance of the proposed method is tested and compared against the 3-D decimated backprojection algorithm.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Low-Rank Approximation-Based Super-Resolution Imaging for Airborne Forward-Looking Radar
    Li, Jie
    Zhang, Yongchao
    Zhang, Yin
    Huang, Yulin
    Yang, Jianyu
    2020 IEEE RADAR CONFERENCE (RADARCONF20), 2020,
  • [22] AIRBORNE 3-D FORWARD LOOKING SAR IMAGING VIA CHIRP SCALING ALGORITHM
    Xiang, Gao
    Zhang, Xiaoling
    Shi, Jun
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 3011 - 3014
  • [23] MAJORIZE-MINIMIZATION BASED SUPER-RESOLUTION METHOD FOR RADAR FORWARD-LOOKING IMAGING
    Zhang, Qiping
    Zhang, Yin
    Zhang, Yongchao
    Huang, Yulin
    Li, Wenchao
    Yang, Jianyu
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 3188 - 3191
  • [24] Augmented Lagrangian method for angular super-resolution imaging in forward-looking scanning radar
    Zha, Yuebo
    Huang, Yulin
    Yang, Jianyu
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [25] Forward-Looking Super-Resolution Imaging of MIMO Radar via Sparse and Double Low-Rank Constraints
    Tang, Junkui
    Liu, Zheng
    Ran, Lei
    Xie, Rong
    Qin, Jikai
    REMOTE SENSING, 2023, 15 (03)
  • [26] Airborne Forward-Looking Radar Super-Resolution Imaging Using Iterative Adaptive Approach
    Zhang, Yongchao
    Mao, Deqing
    Zhang, Qian
    Zhang, Yin
    Huang, Yulin
    Yang, Jianyu
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (07) : 2044 - 2054
  • [27] AIRBORNE RADAR FORWARD-LOOKING SUPER-RESOLUTION IMAGING USING AN ITERATIVE ADAPTIVE APPROACH
    Li, Changlin
    Zhang, Yongchao
    Zhang, Yin
    Huang, Yulin
    Yang, Jianyu
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7910 - 7913
  • [28] A Hybrid Norm Regularization Approach for Radar Forward-looking Angle Super-resolution Imaging
    Tuo, Xingyu
    Zhang, Yin
    Huang, Yulin
    Yang, Jianyu
    2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE, 2021,
  • [29] High resolution imaging for forward looking SAR with multiple receiving antennas
    Dai, SL
    Wiesbeck, W
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 2254 - 2256
  • [30] High Performance Sparse Forward-Looking Imaging of Distributed Millimeter-Wave Radar
    Li, Yi
    Xia, Weijie
    Chu, Yongyan
    Zhang, Wogong
    Zhang, Jie
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (04) : 5089 - 5099