Enhanced Angular Resolution in Automotive Radar Imagery Using Burg-Aided MIMO-DBS Approach
Enhanced Angular Resolution in Automotive Radar Imagery Using Burg-Aided MIMO-DBS Approach
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DOI：
10.23919/eurad58043.2023.10289130
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发表时间：
2023-09
期刊：
影响因子：
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通讯作者：
Muge Bekar;C. Baker;M. Gashinova
中科院分区：
文献类型：
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作者：
Muge Bekar;C. Baker;M. Gashinova
为了实现更高水平的自动驾驶，无论光照和天气条件如何，成像雷达都必须保持稳定，以提供可靠、准确和精确的态势感知。空间分辨率是能够检测和区分近距离目标的重要参数之一。已经证明，多输入多输出（MIMO）雷达与多普勒波束锐化（DBS）的结合可以抑制MIMO固有的高旁瓣电平，从而有助于增强离视轴方向的横向分辨率。然而，星展银行无法提高对路径规划至关重要的前瞻方向的分辨率。在本文中，我们建议使用 Burg 算法与 MIMO-DBS 技术相结合来提高前视和横向方向的跨距离分辨率。通过 77 GHz 下的仿真和实验评估了所提出方法的性能。
To achieve higher levels of autonomous driving, imaging radar that is robust, regardless of lighting and weather conditions, is required in order to provide reliable, accurate and precise situational awareness. Spatial resolution is one of the important parameters enabling detection and differentiation of closely positioned targets. It has already been shown that the combination of multiple-input multiple-output (MIMO) radar with Doppler beam sharpening (DBS) can both suppress the high sidelobe levels inherent in MIMO and hence can help enhance cross-range resolution in the off-the-boresight directions. However, DBS cannot improve resolution in the forward-looking direction which is vital for path planning. In this paper, we propose the use of the Burg algorithm combined with a MIMO-DBS technique to improve cross-range resolution in both the forward looking and the lateral directions. The performance of the proposed method is evaluated through both simulation and experiment at 77 GHz.