Analysis of Automotive Radar Interference Mitigation for Real-World Environments

M. Toth, J. Rock, P. Meissner, A. Melzer, K. Witrisal

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


The critical issue of mutual interference in automotive radar leads to a growing number of processing algorithms for mitigation. Analyses of their performance have been mostly based on either simulations or on a small number of exemplary measurements. In this contribution, a corpus of real-world radar measurements is used, to which strongly varying simulated interferences are added. A statistical analysis framework is then applied to a set of state-of-the-art mitigation algorithms, studying the impact of highly complex object environments on their performance.

Original languageEnglish
Title of host publicationEuRAD 2020 - 2020 17th European Radar Conference
Number of pages4
ISBN (Electronic)9782874870613
Publication statusPublished - 2021
Event17th European Radar Conference: EuRAD 2020 - Virtuell, Utrecht, Netherlands
Duration: 13 Jan 202115 Jan 2021


Conference17th European Radar Conference
Abbreviated titleEuRAD 2020
CityVirtuell, Utrecht


  • automotive components
  • millimeter wave radar
  • radar signal processing
  • radiofrequency interference
  • sensor systems

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Computer Networks and Communications


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