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

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