Fast SL0 algorithm for 3D imaging using bistatic MIMO radar

被引：5
|
作者：
Hu, Xiaowei [1 ]
Guo, Yiduo [1 ]
Ge, Qichao [1 ]
Su, Yutong [2 ]
机构：
[1] Air Force Engn Univ, Early Warning & Guidance Dept, Xian, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Sci, Xian, Shaanxi, Peoples R China
来源：
IET SIGNAL PROCESSING | 2018年 / 12卷 / 08期
基金：
中国国家自然科学基金;
关键词：
MIMO radar; radar imaging; motion compensation; radar resolution; fast SL0 algorithm; 3D imaging; bistatic MIMO radar; multiple-input-multiple-output radar; complex motion compensation; three-dimensional imaging method; SPARSE DECOMPOSITION; SAR; ISAR; FORM; RESOLUTION; MODULATION; TARGETS; SCHEME;
D O I：
10.1049/iet-spr.2017.0376
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：
Multiple-input-multiple-output (MIMO) radar is attractive in moving targets imaging, which is able to solve the difficulty of complex motion compensation. In this article, a three-dimensional imaging method using bistatic MIMO radar is proposed. Compared with monostatic MIMO radar, the bistatic system can provide the complementary information, and the imaging process is not the same as the monostatic case. Furthermore, considering the image sparsity and the spatial limitation of radar targets, a fast smoothed L0 norm algorithm is proposed to achieve the high resolution in cross-range directions with limited antennas. The experimental results demonstrate the validity and efficiency of the proposed method.
引用
收藏
页码：1017 / 1022
页数：6
相关论文
共 50 条
  • [1] Fast direction finding algorithm in bistatic MIMO radar
    Liu S.
    Yang L.-S.
    Yin Y.-H.
    Xu J.
    Cao H.-L.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2016, 46 (05): : 1675 - 1680
  • [2] Fast 3D Parameters Estimation of Targets in Bistatic MIMO Radar Based on Sparse Signal Reconstruction
    Zhao, Xia
    Guo, Chenjiang
    Peng, Wencan
    IEEE ACCESS, 2018, 6 : 46206 - 46212
  • [3] AN ALGORITHM FOR BURIED PIPELINE DETECTION USING A 3-D BISTATIC IMAGING RADAR
    Aljurbua, Abdulrahman
    Sarabandi, Kamal
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 2241 - 2243
  • [4] MIMO Radar 3D Imaging with Improved Rotation Parameters Estimation
    Ma, Changzheng
    Yeo, Tat-Soon
    Chong, Chin Yuan
    Zhang, Tao
    PROCEEDINGS OF PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS 2012), 2012, : 214 - 220
  • [5] Sparse MIMO Array for Improved 3D mm-Wave Imaging Radar
    Syeda, R. Z.
    Savelyev, T. G.
    van Beurden, M. C.
    Smolders, A. B.
    EURAD 2020 THE 17TH EUROPEAN RADAR CONFERENCE, 2021, : 342 - 345
  • [6] Efficient 3D imaging method of MIMO radar for moving target
    Wang W.
    Hu Z.
    Yue J.
    Tongxin Xuebao/Journal on Communications, 2019, 40 (07): : 38 - 47
  • [7] Fast Factorized Kirchhoff Migration Algorithm for Near-Field Radar Imaging With Sparse MIMO Arrays
    Song, Tiancheng
    Yao, Xianxun
    Wang, Lei
    Wang, Yangying
    Sun, Guolin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 14
  • [8] Fast target localization and the mutual coupling self-calibration algorithm for bistatic MIMO radar
    Guo, Yiduo
    Zhang, Yongshun
    Zhang, Linrang
    Tong, Ningning
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2012, 39 (05): : 66 - 71+90
  • [9] MIMO Radar 3D Imaging Based on Combined Amplitude and Total Variation Cost Function With Sequential Order One Negative Exponential Form
    Ma, Changzheng
    Yeo, Tat Soon
    Zhao, Yongbo
    Feng, Junjie
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (05) : 2168 - 2183
  • [10] ANTARCTIC ICE SHELF 3D CROSS SECTIONAL PROFILE IMAGING USING MIMO RADAR
    Narayanan, Arvind Hari
    Brennan, Paul
    Benjamin, Ralph
    Gillet-Chaulet, Fabien
    Nicholls, Keith W.
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 186 - 189
12345