A novel multi-target detection algorithm for automotive FMCW radar

Youn-Sik Son, S. Heo
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引用次数: 10

Abstract

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).
一种新的汽车FMCW雷达多目标检测算法
在汽车雷达系统中,需要对多目标环境下的每个目标进行分辨。传统的FMCW雷达发射和接收三角波,不能有效去除多普勒距离定位过程中产生的鬼目标。使用复杂的波形设计可以帮助去除幽灵目标,然而,幽灵目标仍然很多。本文提出了一种利用快速傅里叶变换(FFT)后的上行和下行频率之间的相互关系来去除鬼目标的新算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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