Millimeter-wave Automotive Radar using Extrapolation for Improved Angular Resolution

Cristian Alistarh, Laura Anitori, Symon K. Podilchak, John Thompson, Pascual D. Hilario Re, Mathini Sellathurai, George Goussetis, Jaesup Lee

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

3 Citations (Scopus)


Automotive engineers are repeatedly faced with the issue of choosing radars with the best angular resolution while having reduced processing times. In this paper, a novel extrapolation method is presented to estimate the amplitudes and phases for virtual antenna elements at the receiver periphery. This method has shown to resolve two targets where the (real) baseline receiver antenna cannot. Furthermore, a comparison study is provided which considers different extrapolation methods that can be applied to the system. Together with other techniques for improving resolution, such as Multiple-Input Multiple-Output (MIMO) radars, beamsteering for increased power distribution, and compressed sensing for optimising sampling requirements, a radar system based on the fusion of these techniques can provide a powerful new platform which can fast process and accurately detect targets.

Original languageEnglish
Title of host publication2020 17th European Radar Conference (EuRAD)
Number of pages4
ISBN (Electronic)9782874870613
Publication statusPublished - 3 Feb 2021
Event17th European Radar Conference 2020 - Utrecht, Netherlands
Duration: 13 Jan 202115 Jan 2021


Conference17th European Radar Conference 2020
Abbreviated titleEuRAD 2020


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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation


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