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智能驾驶毫米波雷达虚拟测试环境仿真方法研究

Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligent Driving.

作者信息

Li Xin, Tao Xiaowen, Zhu Bing, Deng Weiwen

机构信息

State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.

Aviation University of AF, Changchun 130022, China.

出版信息

Sensors (Basel). 2020 Mar 30;20(7):1929. doi: 10.3390/s20071929.

DOI:10.3390/s20071929
PMID:32235644
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7180800/
Abstract

This study addresses the virtual testing of intelligent driving, examines the key problems in modeling and simulating millimeter wave radar environmental clutter, and proposes a modeling and simulation method for the environmental clutter of millimeter wave radar in intelligent driving. First, based on the attributes of intelligent vehicle millimeter wave radar, the classification characteristics of the traffic environment of an intelligent vehicle and the generation mechanism of radar environmental clutter are analyzed. Next, the statistical distribution characteristics of the clutter amplitude, the distribution characteristics of the power spectrum, and the electromagnetic dielectric characteristics are analyzed. The simulation method of radar clutter under environmental conditions such as road surface, rainfall, snowfall, and fog are deduced and designed. Finally, experimental comparison results are utilized to validate the model and simulation method.

摘要

本研究针对智能驾驶的虚拟测试，研究毫米波雷达环境杂波建模与仿真中的关键问题，提出一种智能驾驶中毫米波雷达环境杂波的建模与仿真方法。首先，基于智能车辆毫米波雷达的属性，分析智能车辆交通环境的分类特征以及雷达环境杂波的产生机制。其次，分析杂波幅度的统计分布特征、功率谱的分布特征以及电磁介电特性。推导并设计了路面、降雨、降雪和雾等环境条件下雷达杂波的仿真方法。最后，利用实验对比结果对模型和仿真方法进行验证。

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