Compressed Sensing for MIMO Radar using SIW Antennas for High Resolution Detection

Cristian Alistarh, Laura Anitori, Wim L. van Rossum, Symon K. Podilchak, John Thompson, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


A particular challenge for modern advanced driver-assistance systems (ADAS) is improving radar resolution for optimal performance. In this paper, compressed sensing (CS) is used for radar detection of a frequency modulated continuous wave (FMCW) radar employing a multiple-input multiple-output (MIMO) array fabricated using substrate-integrated waveguide (SIW) technology. The generated virtual aperture from this SIW-MIMO radar antenna is then complemented by a sparse compressed sensing algorithm to extract the target information accurately. More specifically, an alternating direction algorithm is applied to an automotive radar scenario. The detection setup is simulated and then tested within an anechoic chamber. To the best knowledge of the authors, this work is the first to compare the compressed sensing approach to a wide range of beamformers: classic, adaptive, subspace and functional beamformers. In these trials, compressed sensing is able to identify two targets even in situations where other beamformers are not able to identify them accurately or at all.

Original languageEnglish
Title of host publication18th European Radar Conference 2021
Number of pages4
ISBN (Electronic)9782874870651
Publication statusPublished - 2 Jun 2022
Event18th European Radar Conference 2021 - London, United Kingdom
Duration: 5 Apr 20227 Apr 2022


Conference18th European Radar Conference 2021
Abbreviated titleEuRAD 2021
Country/TerritoryUnited Kingdom


  • automotive applications
  • MIMO radar
  • radar antennas
  • radar measurements
  • slot antennas

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Instrumentation

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