Analog Self-Interference Mitigation for IBFD, Joint Radar-Communications in Vehicular Applications

Carl Morgenstern, Alex R. Chiriyath, Arindam Dutta, Andrew Herschfelt, Yu Rong, Alyosha C. Molnar, Alyssa B. Apsel, David G. Landon, Daniel W. Bliss

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


Emerging applications such as autonomous vehicles and urban air mobility (UAM) rely on radar, communications, and positioning, navigation, and timing (PNT) capabilities, all of which compete for limited spectral resources. In-band, full-duplex (IBFD) systems promise better spectral efficiency but also introduce significant self-interference. In this paper, we discuss a combination of self-interference cancellation approaches for IBFD, joint radar-communications systems in the context of automated vehicles and urban air mobility. We propose and simulate an analog suppression technique and characterize its performance under realistic hardware limitations including bit precision, channel delay spread, time alignment, and carrier frequency.

Original languageEnglish (US)
JournalProceedings of the IEEE Radar Conference
StatePublished - 2022
Event2022 IEEE Radar Conference, RadarConf 2022 - New York City, United States
Duration: Mar 21 2022Mar 25 2022


  • In-band
  • automated vehicles
  • full-duplex
  • joint radar-communications
  • self-interference mitigation
  • urban air mobility

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation


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