35 GHz FMCW Drone Detection System

Jędrzej Drozdowicz , Maciej Wielgo , Piotr Jerzy Samczyński , Krzysztof Kulpa

Abstract

This paper presents an experimental system ded- icated for the detection and tracking of small aerial targets such as Unmanned Aerial Vehicles (UAVs) in particular small drones (multirotors). The system was proposed in response to increasing drone popularity and the related threats. The hardware and software parts of the system are covered, including the analogue front–end, FPGA based pre–processing and PC based processing, detection and tracking. Real life trials are described with promising results provided. Further research on the subject is proposed.
Author Jędrzej Drozdowicz (FEIT / PE)
Jędrzej Drozdowicz,,
- The Institute of Electronic Systems
, Maciej Wielgo (FEIT / PE)
Maciej Wielgo,,
- The Institute of Electronic Systems
, Piotr Jerzy Samczyński (FEIT / PE)
Piotr Jerzy Samczyński,,
- The Institute of Electronic Systems
, Krzysztof Kulpa (FEIT / PE)
Krzysztof Kulpa,,
- The Institute of Electronic Systems
Pages1-4
Publication size in sheets0.5
Book Kurowska Anna, Misiurewicz Jacek (eds.): IRS 2016 - 17th International Radar Symposium, 2016, Danvers, MA 01923, IEEE, , ISBN 978-1-5090-2518-3, 128 p.
Keywords in Englishradar, drone, detection, UAV
DOIDOI:10.1109/IRS.2016.7497351
URL http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7497351&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F7493873%2F7497259%2F07497351.pdf%3Farnumber%3D7497351
Languageen angielski
File
Drozdowicz_wielgo_IRS2016.pdf 1.59 MB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 21-09-2020, BookChapterMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 21-09-2020, BookChapterMatConfByIndicator
Publication indicators WoS Citations = 0; Scopus Citations = 28; GS Citations = 63.0
Citation count*63 (2020-09-18)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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