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A novel multi-target detection algorithm for automotive FMCW radar

机译:一种新型汽车FMCW雷达的多目标检测算法

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In automotive radar systems resolution of each target in multi-target environment is necessary. A conventional FMCW radar which transmits and receives triangular waves, does not effectively remove the ghost-targets which arise in the process of Doppler-range localization process. Using a sophisticated waveform design can help removing the ghost-targets, however, there remains many of them. In this paper, we propose a novel ghost-target removal algorithm using the inter-relationship between the upbeat and downbeat frequency after the Fast Fourier Transform(FFT).
机译:在多目标环境中的每个目标的汽车雷达系统中,是必要的。传统的FMCW雷达透射和接收三角形波,不会有效地去除在多普勒范围本地化过程的过程中出现的幽灵靶。使用复杂的波形设计可以帮助删除鬼魂目标,但是,仍有许多群体。在本文中,我们提出了一种新的Ghost-靶去除算法,使用快速傅里叶变换(FFT)后的乐观和下拍频率之间的相互关系。

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