Background and Clutter Removal Techniques for Ultra Short Range Radar

Matthias G. Ehrnsperger, Maximilian Noll, Uwe Siart, Thomas F. Eibert

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

7 Scopus citations

Abstract

Living-object-detection (LOD) in hazardous areas can save lifes and is the key feature of safety critical radar sensors. Suppression of bright and static clutter is needed in order to detect weak echoes from potentially moving living objects. We study the classical method of frame differencing (FD) as well as statistical background and clutter removal techniques to maximise the object detection probability. The investigated techniques are evaluated by simulation and qualified in terms of achievable signal-to-clutter ratio (SCR) and computational complexity. Subsequently, the techniques are implemented in a radar prototype and real life measurements are conducted. The prototype consists of a two channel C-band frequency modulated continuous wave (FMCW) quasi-monostatic radar system with closely placed omnidirectional monopole antennas. For the background and clutter removal a new modified method is proposed and qualified. The proposed method provides top SCR levels and outperforms FD by far in terms of efficiency.

Original languageEnglish
Title of host publicationEuRAD 2020 - 2020 17th European Radar Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages78-81
Number of pages4
ISBN (Electronic)9782874870613
DOIs
StatePublished - 10 Jan 2021
Event17th European Radar Conference, EuRAD 2020 - Utrecht, Netherlands
Duration: 13 Jan 202115 Jan 2021

Publication series

NameEuRAD 2020 - 2020 17th European Radar Conference

Conference

Conference17th European Radar Conference, EuRAD 2020
Country/TerritoryNetherlands
CityUtrecht
Period13/01/2115/01/21

Keywords

  • background removal
  • clutter removal
  • frequency modulated continuous wave (FMCW)
  • radar
  • ultra short range radar (USRR)

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