Algorithmic steps for SAR backprojection on radar based motion estimation

Thomas Gisder, Marc Michael Meinecke, Erwin Biebl

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

5 Scopus citations


When adapting SAR (synthetic aperture radar) techniques to vehicles it becomes obvious, that there are some dramatic differences to air-born SAR systems. The main difference in automotive applications is, that vehicles does not drive with constant speed in straight direction only as planes do. Therefore in this paper a novel algorithm is developed what enables to estimate vehicles ego motion very precisely and at exactly those time steps when it is needed. This algorithm enables both, generating SAR maps as well as autarkic ego motion estimation. Tests in real traffic scenarios show promising results.

Original languageEnglish
Title of host publication2020 21st International Radar Symposium, IRS 2020
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9788394942151
StatePublished - 5 Oct 2020
Event21st International Radar Symposium, IRS 2020 - Warsaw, Poland
Duration: 5 Oct 20207 Oct 2020

Publication series

NameProceedings International Radar Symposium
ISSN (Print)2155-5753


Conference21st International Radar Symposium, IRS 2020


  • Backprojection
  • EIV problems
  • Ego motion estimation
  • SAR
  • Synthetic aperture radar


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