Radar waveform design and multi-target detection in vehicular applications

2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF) Pub Date : 1900-01-01 DOI:10.1109/ICEDIF.2015.7280208

Yuanzhang Fan, Zhiliang Yang, Xiangyuan Bu, Jianping An

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引用次数: 17

Abstract

In traffic environment, conventional FMCW radar with triangular transmit waveform may bring out many false targets in multi-target situations and result in a high false alarm rate. An improved FMCW waveform and multi-target detection algorithm for vehicular applications is presented. The designed waveform in each small cycle is composed of two-segment: LFM section and constant frequency section. They have the same duration, yet in two adjacent small cycles the two LFM slopes are opposite sign and different size. Then the two adjacent LFM bandwidths are unequal. Within a determinate frequency range, the constant frequencies are modulated by a unique PN code sequence for different automotive radar in a big period. Corresponding to the improved waveform, which combines the advantages of both FSK and FMCW formats, a judgment algorithm is used in the continuous small cycle to further eliminate the false targets. The combination of unambiguous ranges and relative velocities can confirm and cancel most false targets in two adjacent small cycles.

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雷达波形设计和多目标探测在车载应用

在交通环境下，传统的三角发射波形FMCW雷达在多目标情况下会产生大量的假目标，导致虚警率高。提出了一种改进的车载FMCW波形和多目标检测算法。设计的每个小周期波形由两段组成:LFM段和恒频段。它们具有相同的持续时间，但在相邻的两个小周期中，两个LFM斜率符号相反且大小不同。那么两个相邻的LFM带宽是不等的。在确定的频率范围内，对不同的汽车雷达在大周期内采用唯一的伪码序列调制恒定频率。针对结合FSK和FMCW格式优点的改进波形，在连续小周期中采用判断算法进一步消除假目标。明确的距离和相对速度相结合可以在相邻的两个小周期内确认和消除大多数假目标。

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2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)

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