MIMO–monopulse target localisation for automotive radar
MIMO–monopulse target localisation for automotive radar
复制标题
MIMO——汽车雷达的单脉冲目标定位
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. Yarovoy
中科院分区：
文献类型：
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作者：
Ruoyu Feng;F. Uysal;P. Aubry;A. Yarovoy
在这项研究中，作者通过将单脉冲方法与MIMO雷达相结合，提出了一种新的到达方向（DoA）估计算法，称为“多输入多输出(MIMO) -单脉冲”。单脉冲角估计算法是一种快速、准确的角估计算法，在跟踪雷达中得到了很好的发展。单脉冲技术在MIMO雷达上的应用，特别是在汽车雷达上的应用，以前没有得到太多的考虑，本研究将对其进行讨论。传统的单脉冲DoA估计方法包括幅度和相位比较单脉冲。在本研究中，为了提高单脉冲的性能，他们利用Chebyshev和Zolotarev加权来合成和和差模式。讨论了一种新的单脉冲比可视化方法。最后，他们通过处理来自79 GHz调频连续波汽车雷达的实际数据来证明该算法的成功。
In this study, the authors propose a novel direction of arrival (DoA) estimation algorithm called ‘multiple-input–multiple-output (MIMO)–monopulse’ by combining the monopulse approach with MIMO radar. Monopulse is fast and accurate angle estimation algorithm, which has been well developed for tracking radar. The application of the monopulse technique on MIMO radar is not much considered before, especially for automotive-radar application, and will be discussed in this study. Conventional methods of monopulse DoA estimation include amplitude and phase comparison monopulse. In this study, to improve the performance of monopulse, they utilise Chebyshev and Zolotarev weighting to synthesise sum and difference patterns. A new visualisation method for monopulse ratio is discussed. Finally, they demonstrate the success of the proposed algorithm by processing real data from a 79 GHz frequency-modulated continuous-wave automotive radar.