Far-Field Calibration of Automotive Millimeter Wave Radar via Near-Field Implementation

被引：0

作者：

Sun, Jinghu ^{[1
]}

Liu, Jiahuan ^{[2
]}

Wei, Wenqiang ^{[3
]}

Yu, Xianxiang ^{[3
]}

Cui, Guolong ^{[3
]}

Zhang, Xiuyin ^{[1
]}

机构：

[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Peoples R China

[2] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510641, Peoples R China

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

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2025年 / 36卷 / 03期

关键词：

Calibration; Vectors; Direction-of-arrival estimation; Sensors; Estimation; Millimeter wave radar; Discrete Fourier transforms; Accuracy; Monte Carlo methods; Apertures; automotive millimeter wave radar; far-field steering vector calibration; near-field steering vector calibration; direction of arrival (DOA) estimation; low cost; SENSOR GAIN; ARRAY; DOA;

D O I：

10.23919/JSEE.2025.000006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To enhance direction of arrival (DOA) estimation accuracy, this paper proposes a low-cost method for calibrating far-field steering vectors of large aperture millimeter wave radar (mmWR). To this end, we first derive the steering vectors with amplitude and phase errors, assuming that mmWR works in the time-sharing mode. Then, approximate relationship between the near-field calibration steering vector and the far-field calibration steering vector is analyzed, which is used to accomplish the mapping between the two of them. Finally, simulation results verify that the proposed method can effectively improve the angle measurement accuracy of mmWR with existing amplitude and phase errors.

引用

页码：694 / 700

页数：7

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