COMPRESSED SENSING IMAGING OF MMW AUTOMOTIVE RADAR VIA NON-LINE-OF-SIGHT OBSERVATION

被引：0

作者：

Cai, Xiang ^{[1
]}

Wei, Shunjun ^{[1
]}

Liu, Xinyuan ^{[1
]}

Wen, Yanbo ^{[1
]}

Shi, Jun ^{[1
]}

Zhang, Xiaoling ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

MMW automotive radar; Non-Line-of-Sight imaging; SAR; Compressed sensing;

D O I：

10.1109/IGARSS52108.2023.10282596

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The detection of obscured vehicle targets and non-line-of-sight imaging by vehicle-mounted radar systems have broad application prospects in the field of urban traffic and autonomous driving. In this paper, a non-line-of-sight (NLOS) model and synthetic aperture radar (SAR) imaging method are proposed to perform millimeter wave imaging of obscured vehicle targets using electromagnetic wave reflection echoes from the road surface. Then, the NLOS echoes are imaged in two dimensions with high accuracy by compressed sensing algorithm (CSA). Finally, an experimental system for NLOS vehicle targets was developed using TI millimeter-wave radar. The feasibility of millimeter-wave NLOS radar imaging and the effectiveness of the proposed algorithm are experimentally verified, and high-precision 2D imaging results of obscured vehicle targets are obtained.

引用

页码：1225 / 1228

页数：4

共 50 条

[31] Non-line-of-sight Imaging with Signal Superresolution Network
Wang, Jianyu
Liu, Xintong
Xiao, Leping
Shi, Zuoqiang
Qiu, Lingyun
Fu, Xing
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 17420 - 17429
[32] Compressive Non-Line-of-Sight Imaging with Deep Learning
Zhu, Shenyu
Sua, Yong Meng
Bu, Ting
Huang, Yu -Ping
PHYSICAL REVIEW APPLIED, 2023, 19 (03)
[33] Exploiting Occlusion in Non-Line-of-Sight Active Imaging
Thrampoulidis, Christos
Shulkind, Gal
Xu, Feihu
Freeman, William T.
Shapiro, Jeffrey H.
Torralba, Antonio
Wong, Franco N. C.
Wornell, Gregory W.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2018, 4 (03): : 419 - 431
[34] Calibration scheme for non-line-of-sight imaging setups
Klein, Jonathan
Laurenzis, Martin
Hullin, Matthias B.
Iseringhausen, Julian
OPTICS EXPRESS, 2020, 28 (19): : 28324 - 28342
[35] Non-Line-of-Sight Imaging with Picosecond Temporal Resolution
Wang, Bin
Zheng, Ming-Yang
Han, Jin-Jian
Huang, Xin
Xie, Xiu-Ping
Xu, Feihu
Zhang, Qiang
Pan, Jian-Wei
PHYSICAL REVIEW LETTERS, 2021, 127 (05)
[36] Deep Non-Line-of-Sight Imaging Using Echolocation
Jang, Seungwoo
Shin, Ui-Hyeon
Kim, Kwangsu
SENSORS, 2022, 22 (21)
[37] Non-line-of-sight imaging over 1.43 km
Wu, Cheng
Liu, Jianjiang
Huang, Xin
Li, Zheng-Ping
Yu, Chao
Ye, Jun-Tian
Zhang, Jun
Zhang, Qiang
Dou, Xiankang
Goyal, Vivek K.
Xu, Feihu
Pan, Jian-Wei
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (10)
[38] Non-line-of-sight imaging with adaptive artifact cancellation
Zhou, Hongyuan
Chen, Ziyang
Qiu, Jumin
Zhong, Sijia
Zhang, Dejian
Wang, Tongbiao
Liu, Qiegen
Yu, Tianbao
OPTICS AND LASER TECHNOLOGY, 2025, 182
[39] Steady-state Non-Line-of-Sight Imaging
Chen, Wenzheng
Daneau, Simon
Mannan, Fahim
Heide, Felix
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 3783 - 6792
[40] Photon-Efficient Non-Line-of-Sight Imaging
Liu, Jianjiang
Zhou, Yijun
Huang, Xin
Li, Zheng-Ping
Xu, Feihu
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2022, 8 : 639 - 650

← 1 2 3 4 5 →