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Radar frequency band invariant pedestrian classification
Tampere University of Technology, Tampere, Finland.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Tampere University of Technology, Tampere, Finland.ORCID iD: 0000-0003-4894-4134
Tampere University of Technology, Tampere, Finland.
Tampere University of Technology, Tampere, Finland.
2013 (English)In: International Radar Symposium, IRS 2013: Proceedings, Volume II / [ed] Hermann Rohling, Göttingen, Germany: Cuvillier Verlag, 2013, p. 740-745Conference paper, Published paper (Refereed)
Abstract [en]

The problem of pedestrian classification by radars with different operating bands is considered. The proposed solutions are based on two observations of relation between Doppler spectrums collected within different frequency bands. According to the first observation the Doppler spectrum obtained from the radars with lower operating frequency is an approximate scaled version of the Doppler spectrum obtained within radar with higher operating frequency. According to the second observation the Doppler spectrum of lower operating frequency is similar to the Doppler spectrum of higher operating frequency at specific aspect angle. Two new approaches are proposed for pedestrian classification based on the observations. The first proposed approach deals with new features called local binary mask. The second approach is based on higher order spectral invariants estimated from the Doppler spectrum. The approaches are tested on real 24 GHz radar measurements and simulated 77 GHz radar measurements and show the robustness to operating frequency of the radar. © 2013 German Inst of Navigation.

Place, publisher, year, edition, pages
Göttingen, Germany: Cuvillier Verlag, 2013. p. 740-745
Keywords [en]
Doppler radar, image classification, object recognition, pedestrians, radar imaging
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-24260ISI: 000332801600122Scopus ID: 2-s2.0-84884144459ISBN: 978-1-4673-4821-8 (print)OAI: oai:DiVA.org:hh-24260DiVA, id: diva2:682997
Conference
2013 14th International Radar Symposium (IRS), June 19-21, Dresden, Germany
Available from: 2014-01-01 Created: 2014-01-01 Last updated: 2017-04-10Bibliographically approved

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Scopushttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6581667

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Vinel, Alexey

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf