Non-Line-of-Sight Multi-Target Localization Algorithm for Driver-Assistance Radar System

被引：29
作者：
Chen, Jiahui [1 ]
Guo, Shisheng [1 ]
Luo, Haolan [1 ]
Li, Nian [1 ]
Cui, Guolong [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2023年 / 72卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Radar; Location awareness; Manganese; Direction-of-arrival estimation; Target recognition; Radar tracking; Diffraction; NLOS localization; MIMO radar; multipath recognition; TARGET LOCALIZATION; CORNER;
D O I：
10.1109/TVT.2022.3227971
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：
In automatic driving, it is difficult for automotive radar to capture the information of vehicles and pedestrians located in blind areas such as street corners and urban intersections, which may lead to collision risks. To deal with it, this paper investigates the problem of multiple target localization in a non-line-of-sight (NLOS) scenario. Specifically, first, the propagation paths of the electromagnetic waves in the L-shaped NLOS scenario are analyzed and a multipath echoes model for the multiple-input-multiple-output (MIMO) radar is established. Then, the time of arrivals (ToAs) with respect to different paths are estimated by the matrix pencil algorithm. Based on the estimated delays, a path recognition strategy, by fully considering the range and angle information of targets, is proposed to pair the ToAs with different types of multipath and targets. Finally, the performance of the proposed method is verified via simulations and experiments, which reveal that the positions of the NLOS targets can be estimated with high precision.
引用
收藏
页码：5332 / 5337
页数：6
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