Analysis of Automotive Radar Interference Mitigation for Real-World Environments

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

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

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.

Originalspracheenglisch
TitelEuRAD 2020 - 2020 17th European Radar Conference
Seiten176-179
Seitenumfang4
ISBN (elektronisch)9782874870613
DOIs
PublikationsstatusVeröffentlicht - 2021
Veranstaltung17th European Radar Conference - Utrecht, Virtuell, Niederlande
Dauer: 13 Jan 202115 Jan 2021

Konferenz

Konferenz17th European Radar Conference
KurztitelEuRAD 2020
LandNiederlande
OrtVirtuell
Zeitraum13/01/2115/01/21

ASJC Scopus subject areas

  • !!Signal Processing
  • !!Instrumentation
  • !!Computer Networks and Communications

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