Quantitative Investigation of Imaging Quality vs. Radar Position Errors in Millimeter-wave SAR

Qi Wen, Siyang Cao

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

1 Scopus citations


Millimeter wave (mmWave) imaging has promising potential for many applications because of its fine resolution, object-penetration capabilities, and all-weather, all-day working conditions. Combined with low-cost mmWave radars, the synthetic aperture radar (SAR) technique enables flexible, cost-effective, mmWave imaging solutions. This paper experimentally investigates how SAR imaging quality depends on in-aperture 2D Gaussian position errors. We emulate a wide range of position errors with root-mean-square values ranging from 1 mm up to 256 mm, covering between a fraction and a few tens of the wavelengths at 77 GHz. The presented results provide useful guidance for designing portable mmWave SAR systems that can benefit from flexible and low-cost motion tracking solutions. The data and code are publically shared at https://github.com/radar-lab/SAR.git.

Original languageEnglish (US)
Title of host publicationRadarConf23 - 2023 IEEE Radar Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665436694
StatePublished - 2023
Event2023 IEEE Radar Conference, RadarConf23 - San Antonia, United States
Duration: May 1 2023May 5 2023

Publication series

NameProceedings of the IEEE Radar Conference


Conference2023 IEEE Radar Conference, RadarConf23
Country/TerritoryUnited States
CitySan Antonia


  • Millimeter-wave imaging
  • Range Doppler Algorithm (RDA)
  • synthetic aperture radar (SAR)
  • tracking errors

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation


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