Measurements of birds and drones with L-band staring radar

M. Jahangtr, G. M. Atkinson, M. Antoniou, C. J. Baker, J. P. Sadler, S. J. Reynolds

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

Abstract

The mapping of low altitude airspace for drone activity using wide area surveillance radar requires both reliable detection along with an effective means of discriminating drones from other similar sized airborne targets such as birds that act as confuser targets. Classification algorithms that depend upon labelled training data are hampered due to a lack of appropriately labelled bird data. In this paper we present a practical means for control trials with a number of bird species to obtain field measurements using a staring radar. Preliminary results are presented from a radar installed in an urban region that will become a testbed for future measurement campaigns.

Original languageEnglish
Title of host publication2021 21st International Radar Symposium, IRS 2021
EditorsGalina Lange
PublisherIEEE Computer Society Press
Number of pages10
ISBN (Electronic)9783944976310, 9783944976303 (USB), 9781665439213 (PoD)
DOIs
Publication statusPublished - 21 Jun 2021
Event21st International Radar Symposium, IRS 2021 - Berlin, Germany
Duration: 21 Jun 202122 Jun 2021

Publication series

NameProceedings International Radar Symposium
Volume2021-June
ISSN (Print)2155-5753

Conference

Conference21st International Radar Symposium, IRS 2021
Country/TerritoryGermany
CityBerlin
Period21/06/2122/06/21

Bibliographical note

Funding Information:
The work is funded by the EPSRC MEFA (EP/T011068/1) and UK National Quantum Technology Hub in Sensing and Timing (EP/T001046/1) projects. The authors are grateful to Aveillant Ltd for facilitating the trials at Deenethorpe and to the International Centre for Birds of Prey (ICBP) at Newent, Gloucestershire, UK, for the arrangement and operation of the captive birds in the field trials.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Astronomy and Astrophysics
  • Instrumentation

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