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

被引:0
|
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.
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页数:14
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