Multipath Exploitation: Non-Line-of-Sight Target Relocation in Array-InSAR 3-D Imaging

被引:1
|
作者
Lin, Yuqing [1 ,2 ,3 ]
Qiu, Xiaolan [1 ,2 ]
Luo, Yitong [4 ]
Ding, Chibiao [1 ,2 ]
机构
[1] Chinese Acad Sci, Natl Key Lab Microwave Imaging Technol, Beijing 100090, Peoples R China
[2] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
[3] Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100049, Peoples R China
[4] Suzhou Aerosp Informat Res Inst, Suzhou Key Lab Microwave Imaging Proc & Applicat T, Suzhou 215123, Peoples R China
关键词
Imaging; Three-dimensional displays; Radar imaging; Solid modeling; Synthetic aperture radar; Buildings; Urban areas; Array interferometric SAR (array-InSAR) 3-D imaging; multipath exploitation; non-line-of-sight (NLOS);
D O I
10.1109/TGRS.2024.3463003
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
With the development of synthetic aperture radar (SAR) 3-D imaging technology, urban 3-D imaging has been realized by unmanned aerial vehicle (UAV)-borne array interferometric SAR (array-InSAR), which enables simpler access to SAR data. However, in low-altitude SAR 3-D imaging of urban scenes, multipath effect is significant. In past studies, multipath signals have been mostly considered as a hindrance in interpretation, but they provide important clues for imaging hidden targets in non-line-of-sight (NLOS) regions. Based on this idea, this article studies the multipath exploitation in low-altitude UAV-borne array-InSAR 3-D imaging and realizes accurate imaging of NLOS targets. An improved 3-D imaging model suitable for low-altitude cases is introduced to achieve preliminary 3-D imaging. Subsequently, key planes are extracted from the original results and the 3-D multipath reachable area is analyzed. After obtaining the multipath mechanism of the NLOS targets, they can eventually be accurately relocated and imaged. Both the simulation and real-data experiments show that the proposed method can effectively 3-D imaging and relocate NLOS targets in urban canyons, with errors typically below 0.5 m. The imageable range in the direction of the ground range can be expanded by 41.62%, and the imageable 3-D area can be expanded by 76.57%, which realizes the NLOS information acquisition.
引用
收藏
页数:14
相关论文
共 30 条
  • [21] Accurate 3D Positioning for a Mobile Platform in Non-Line-of-Sight Scenarios Based on IMU/Magnetometer Sensor Fusion
    Hellmers, Hendrik
    Kasmi, Zakaria
    Norrdine, Abdelmoumen
    Eichhorn, Andreas
    SENSORS, 2018, 18 (01)
  • [22] Passive 3D location estimation of non-line-of-sight objects from a scattered thermal infrared light field
    Sasaki, Takahiro
    Hashemi, Connor
    Leger, James R.
    OPTICS EXPRESS, 2021, 29 (26) : 43642 - 43661
  • [23] Distortion Analysis and 3D Reconstruction of Space Instability Target Line Array Imaging
    Li R.-H.
    Wang Z.-Y.
    Chen F.
    Xiao Y.-Z.
    Xue H.-P.
    Yuhang Xuebao/Journal of Astronautics, 2020, 41 (02): : 224 - 233
  • [24] POLARIMETRIC INTERFEROMETRIC ISAR BASED 3-D IMAGING OF NON-COOPERATIVE TARGET
    Kumar, Ajeet
    Giusti, Elisa
    Mancuso, Francesco
    Martorella, Marco
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 385 - 388
  • [25] Fast-Gated 16 x 16 SPAD Array With 16 on-Chip 6 ps Time-to-Digital Converters for Non-Line-of-Sight Imaging
    Riccardo, Simone
    Conca, Enrico
    Sesta, Vincenzo
    Velten, Andreas
    Tosi, Alberto
    IEEE SENSORS JOURNAL, 2022, 22 (17) : 16874 - 16885
  • [26] Sampling-based 3-D line-of-sight PWA model predictive control for autonomous rendezvous and docking with a tumbling target
    Li, Dongting
    Dong, Rui-Qi
    Guo, Yanning
    Ran, Guangtao
    Li, Dongyu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (13) : 8036 - 8066
  • [27] Target centric wide-area 3-D surveillance using a non-scanning multibeam receiver array
    Jahangir, Mohammed
    2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON), 2015, : 652 - 657
  • [28] THE SAME RANGE LINE CELLS BASED FAST TWO-DIMENSIONAL COMPRESSIVE SENSING FOR AIRBORNE MIMO ARRAY SAR 3-D IMAGING
    Wu, Chunxiao
    Zhang, Zenghui
    Chen, Longyong
    Yu, Wenxian
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 3653 - 3656
  • [29] A NEAR-FIELD 3-D SAR IMAGING METHOD WITH NON-UNIFORM SPARSE LINEAR ARRAY BASED ON MATRIX COMPLETION
    Ma, Yuxin
    Hai, Yu
    Yang, Jianyu
    Li, Zhongyu
    Wu, Junjie
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1664 - 1667
  • [30] Terahertz 3-D Imaging for Non-Cooperative On-the-Move Whole Body by Scanning MIMO-Array-Based Gaussian Fan-Beam
    Wu, Shiyou
    Li, Chao
    Yang, Guan
    Zheng, Shen
    Gao, Hang
    Geng, Hebin
    Zhao, Meng
    Liu, Xiaojun
    Fang, Guangyou
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2022, 70 (12) : 12147 - 12162