Slow-Time Mitigation of Mutual Interference in Chirp Sequence Radar

M. Toth, Paul Meissner, A. Melzer, K. Witrisal

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


Automotive radars are increasingly used for safety-critical advanced driver assistance systems (ADAS) and autonomous driving applications. Due to unregulated waveforms in the automotive frequency bands, mutual interference between radar-equipped vehicles is becoming a key issue, as it can lead to significant losses of sensor performance. In this work, a novel mutual interference model and a subsequent mitigation method are introduced for chirp sequence radars. The method integrates well into the conventional range-Doppler processing chain, and enables control over the inherent trade-off between interference suppression and signal distortion. Its properties are discussed using extensive simulations within a statistical performance analysis framework. In the investigated scenarios, the method achieved an improvement in detection performance without introducing false alarms.

Original languageEnglish
Title of host publication2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, ICMIM 2020
Number of pages4
ISBN (Electronic)9781728167558
Publication statusPublished - 23 Nov 2020
Event2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility: ICMIM 2020 - Virtuell, Austria
Duration: 23 Nov 2020 → …


Conference2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility
Abbreviated titleICMIM 2020
Period23/11/20 → …
Internet address


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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Instrumentation
  • Computer Networks and Communications
  • Automotive Engineering

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