Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference
Doppler Beam Sharpening for Enhanced MIMO Imagery in the Presence of Automotive Interference
复制标题
在存在汽车干扰的情况下使用多普勒波束锐化增强 MIMO 图像
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
M. Cherniakov
中科院分区：
文献类型：
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作者：
Anum Ahmed Pirkani;S. Cassidy;F. Norouzian;M. Gashinova;M. Cherniakov
多普勒波束锐化（DBS）的应用增强图像在多输入，多输出雷达的研究首次作为一种技术，以减轻汽车雷达干扰。结果表明，DBS，除了提高横向分辨率更精确的目标检测，抑制干扰，在某些情况下完全消除干扰。定量分析的干扰抑制作为受害者的雷达速度的函数，视角和积分周期的各种干扰类型，展示了DBS的有效性与一个小的软件升级，在国家的最先进的汽车传感器。
The application of Doppler beam sharpening (DBS) for enhanced imagery in a multiple-input, multiple-output radar is investigated for the first time as a technique to mitigate automotive radar interference. It is shown that DBS, in addition to improved cross-range resolution for more precise target detection, suppresses interference, with complete removal of interference in certain cases. A quantitative analysis of interference suppression as a function of the victim radar velocity, look angle and integration period is presented for various interference types, demonstrating the effectiveness of DBS with a minor software upgrade in the state-of-the-art automotive sensors.