Distinguishing surfaces with different roughness characteristics by using a wideband 300 GHz device

Ben Willetts, Marina Gashinova, Andrew Stove, Costas Constantinou

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

7 Downloads (Pure)


In this paper the capability of differentiating surfaces with different roughnesscharacteristics by using bandwidths practical with low TeraHertz (low-THz) devices isdiscussed. The results presented show that the measured variance from a surface withrandom surface scatterers decreases as the bandwidth of a transmitted signal increaseswhich allows additional classification of directly illuminated rough surfaces. Thesefindings presented will allow more information to be extracted from images obtained incomplex environments whilst keeping the processing complexity low.
Original languageEnglish
Title of host publication2017 18th International Radar Symposium (IRS 2017)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)978-3736993433
Publication statusPublished - Jun 2017
EventInternational Radar Symposium 2017 (IRS 2017) - Clarion Congress Hotel , Prague, Czech Republic
Duration: 28 Jun 201730 Jun 2017


ConferenceInternational Radar Symposium 2017 (IRS 2017)
Abbreviated titleIRS 2017
Country/TerritoryCzech Republic
Internet address


Dive into the research topics of 'Distinguishing surfaces with different roughness characteristics by using a wideband 300 GHz device'. Together they form a unique fingerprint.

Cite this