Threshold-Free Interference Cancellation Method for Automotive FMCW Radar Systems

Matthias Wagner, Fisnik Sulejmani, Alexander Melzer, Paul Meissner, Mario Huemer

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

Abstract

Radar systems are key components for today’s advanced driver assistance systems such as adaptive cruise control or emergency brake assistants. Along with the rising utilization of radars in modern cars, the issue of interference amongst themselves arises. It has been shown in previous work that interference between different frequency modulated continuous wave (FMCW) radar systems leads to an increased noise floor. This may severely impact the detectability of objects, especially those with a small radar cross section like pedestrians. In this work we propose a novel concept to mitigate interference in FMCW radar transceivers using digital signal processing. The actual interference cancellation is carried out in frequency domain taking into account a sequence of FMCW chirps. Therewith noise suppression is performed, the interference is cancelled, and the object information is retained in the radar image. In contrast to existing interference cancellation concepts, no threshold needs to be chosen in advance. We prove our method with simulation results, and compare it to existing work.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2018)
PublisherIEEE
Number of pages4
ISBN (Print)978-1-5386-4881-0
DOIs
Publication statusPublished - May 2018

Fields of science

  • 202017 Embedded systems
  • 202036 Sensor systems
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202015 Electronics
  • 202022 Information technology
  • 202028 Microelectronics
  • 202037 Signal processing

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing

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