دورية أكاديمية
Single-Snapshot Direction of Arrival Estimation for Vehicle-Mounted Millimeter-Wave Radar via Fast Deterministic Maximum Likelihood Algorithm
| العنوان: | Single-Snapshot Direction of Arrival Estimation for Vehicle-Mounted Millimeter-Wave Radar via Fast Deterministic Maximum Likelihood Algorithm |
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| المؤلفون: | Hong Liu, Han Xie, Zhen Wang, Xianling Wang, Donghang Chai |
| المصدر: | World Electric Vehicle Journal, Vol 15, Iss 7, p 321 (2024) |
| بيانات النشر: | MDPI AG, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Electrical engineering. Electronics. Nuclear engineering LCC:Transportation engineering |
| مصطلحات موضوعية: | DoA estimation, FDML, millimeter-wave radar, super-resolution, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280 |
| الوصف: | As one of the fundamental vehicular perception technologies, millimeter-wave radar’s accuracy in angle measurement affects the decision-making and control of vehicles. In order to enhance the accuracy and efficiency of the Direction of Arrival (DoA) estimation of radar systems, a super-resolution angle measurement strategy based on the Fast Deterministic Maximum Likelihood (FDML) algorithm is proposed in this paper. This strategy sequentially uses Digital Beamforming (DBF) and Deterministic Maximum Likelihood (DML) in the Field of View (FoV) to perform a rough search and precise search, respectively. In a simulation with a signal-to-noise ratio of 20 dB, FDML can accurately determine the target angle in just 16.8 ms, with a positioning error of less than 0.7010. DBF, the Iterative Adaptive Approach (IAA), DML, Fast Iterative Adaptive Approach (FIAA), and FDML are subjected to simulation with two targets, and their performance is compared in this paper. The results demonstrate that under the same angular resolution, FDML reduces computation time by 99.30% and angle measurement error by 87.17% compared with the angular measurement results of two targets. The FDML algorithm significantly improves computational efficiency while ensuring measurement performance. It provides more reliable technical support for autonomous vehicles and lays a solid foundation for the advancement of autonomous driving technology. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2032-6653 |
| Relation: | https://www.mdpi.com/2032-6653/15/7/321; https://doaj.org/toc/2032-6653 |
| DOI: | 10.3390/wevj15070321 |
| URL الوصول: | https://doaj.org/article/c02be6b575c44735b8214344510d5d07 |
| رقم الأكسشن: | edsdoj.02be6b575c44735b8214344510d5d07 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20326653 |
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| DOI: | 10.3390/wevj15070321 |