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

Xin Li, Xiaowen Tao, Bing Zhu, Weiwen Deng
Author Information
  1. Xin Li: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
  2. Xiaowen Tao: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
  3. Bing Zhu: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China. ORCID
  4. Weiwen Deng: School of Transportation Science & Engineering, Beihang University, Beijing 100191, China.

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.

Keywords

References

  1. Sensors (Basel). 2018 Jul 17;18(7): [PMID: 30018249]

Grants

  1. 2018YFB0105103/National Key Research and Development Project

Word Cloud

Created with Highcharts 10.0.0radarintelligentcluttermillimeterwaveenvironmentalcharacteristicsdrivingsimulationmethodvirtualmodelingvehicleenvironmentanalyzeddistributionstudyaddressestestingexamineskeyproblemssimulatingproposesFirstbasedattributesclassificationtrafficgenerationmechanismNextstatisticalamplitudepowerspectrumelectromagneticdielectricconditionsroadsurfacerainfallsnowfallfogdeduceddesignedFinallyexperimentalcomparisonresultsutilizedvalidatemodelResearchSimulationMethodMillimeterWaveRadarVirtualTestEnvironmentIntelligentDrivingtest

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