The CONSORTIS 16-channel 340-GHz security imaging radar

Duncan A. Robertson, David G. MacFarlane, Robert I. Hunter, Scott L. Cassidy, Nuria Llombart, Erio Gandini, Tomas Bryllert, Mattias Ferndahl, Hannu Lindström, Jussi Tenhunen, Hannu Vasama, Jouni Huopana, Timo Selkälä, Antti Jussi Vuotikka

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

6 Citations (Scopus)
6 Downloads (Pure)


We have completed a 16-channel 340 GHz 3D imaging radar for next-generation airport security screening under the European Union funded CONSORTIS (Concealed Object Stand-Off Real-Time Imaging for Security) project. The radar maps a 1 x 1 x 1 m3 sense volume with ∼1 cm3 voxel resolution at multi-hertz frame rates. The radar has been installed in the CONSORTIS system enclosure and integrated with a passenger control system and command module. The full system will ultimately also incorporate a dual-band passive submillimeter wave imager and automatic anomaly detection software for reliable, ethical detection of concealed objects. A large data collection trial on targets of interest has been conducted to support the development of automatic anomaly detection software. Initial threat detection analysis indicates promising results against aviation-relevant objects including simulant dielectric threat materials.

Original languageEnglish
Title of host publicationPassive and Active Millimeter-Wave Imaging XXI
EditorsDavid A. Wikner, Duncan A. Robertson
Number of pages10
ISBN (Electronic)9781510617797
Publication statusPublished - 8 May 2018
EventPassive and Active Millimeter-Wave Imaging XXI 2018 - Orlando, United States
Duration: 18 Apr 201819 Apr 2018
Conference number: 21

Publication series

NameProceedings of SPIE
PublisherInternational Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferencePassive and Active Millimeter-Wave Imaging XXI 2018
Country/TerritoryUnited States
Internet address


  • Radar
  • Submillimeter wave
  • Security
  • FMCW
  • Imaging
  • Concealed object detection


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