Scattering Properties of Antennas used For Stimulating Radar Sensors

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Radar sensors are becoming standard equipment in modern cars. They are an integral part of functionalities provided by modern advanced driver assistance systems (ADAS). Over-the-air (OTA) stimulation of the radar sensor can be used to realize testing of such driving functions on a test rig for ready-to-drive cars. Such test rigs provide many sources for an undesired scattering of the radar sensors' output signal. One of them is the radar target stimulator (RTS) antenna system used to simulate synthetic targets for the sensor. This paper investigates a measurement approach to characterize the clutter generated by different antennas used to stimulate radar targets. By transforming wideband frequency domain (FD) measurements to the time domain (TD), we can analyze the spatial distribution of the radar signal scattering and the antenna properties. Knowing the scattering introduced by different antennas, we can conclude their usage for RTS applications.
Original languageEnglish
Title of host publication2021 18th European Radar Conference (EuRAD)
PublisherACM/IEEE
Pages90-93
Number of pages4
ISBN (Electronic)9782874870651
ISBN (Print)978-1-6654-4723-2
DOIs
Publication statusPublished - 7 Apr 2022
Event18th European Radar Conference: EuRAD 2021 - Excel London Exhibition & Conference Centre, London, United Kingdom
Duration: 5 Apr 20227 Apr 2022
Conference number: 18
https://www.eumw2021.com

Publication series

Name2021 18th European Radar Conference, EuRAD 2021

Conference

Conference18th European Radar Conference
Abbreviated titleEuRAD 2021
Country/TerritoryUnited Kingdom
CityLondon
Period5/04/227/04/22
Internet address

Keywords

  • mm-wave measurements
  • over-The-Air
  • radar scatterer
  • Radar sensor
  • sensor stimulation
  • time-domain transform

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Computer Science Applications

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Experimental

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