Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array
In this work, a 24-GHz frequency-modulated continuous-wave (FMCW) radar system with two sectoral horn antennas and one transmitting lens antenna for long-range drone detection is presented. The present work demonstrates the detection of a quadcopter-type drone using the implemented radar system up t...
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doaj-b6368b78f6c04725b07ad19a352625722020-11-24T21:22:13ZengMDPI AGSensors1424-82202018-11-011812417110.3390/s18124171s18124171Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn ArrayByunggil Choi0Daegun Oh1Sunwoo Kim2Jong-Wha Chong3Ying-Chun Li4Collaborative Robots Research Center, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, KoreaCollaborative Robots Research Center, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, KoreaDepartment of Electronic Engineering, Hanyang University, Seoul 04763, KoreaDepartment of Electronic Engineering, Hanyang University, Seoul 04763, KoreaDepartment of Electronic Engineering, Hanyang University, Seoul 04763, KoreaIn this work, a 24-GHz frequency-modulated continuous-wave (FMCW) radar system with two sectoral horn antennas and one transmitting lens antenna for long-range drone detection is presented. The present work demonstrates the detection of a quadcopter-type drone using the implemented radar system up to a distance of 1 km. Moreover, a 3D subspace-based algorithm is proposed for the joint range-azimuth-Doppler estimation of long-range drone detection. The effectiveness of the long-range drone detection is verified with the implemented radar system through a variety of experiments in outdoor environments. This is the first such demonstration for long-range drone detection with a 24-GHz FMCW radar.https://www.mdpi.com/1424-8220/18/12/4171FMCWdrone detection3D subspace-based algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Byunggil Choi Daegun Oh Sunwoo Kim Jong-Wha Chong Ying-Chun Li |
spellingShingle |
Byunggil Choi Daegun Oh Sunwoo Kim Jong-Wha Chong Ying-Chun Li Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array Sensors FMCW drone detection 3D subspace-based algorithm |
author_facet |
Byunggil Choi Daegun Oh Sunwoo Kim Jong-Wha Chong Ying-Chun Li |
author_sort |
Byunggil Choi |
title |
Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array |
title_short |
Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array |
title_full |
Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array |
title_fullStr |
Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array |
title_full_unstemmed |
Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array |
title_sort |
long-range drone detection of 24 g fmcw radar with e-plane sectoral horn array |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-11-01 |
description |
In this work, a 24-GHz frequency-modulated continuous-wave (FMCW) radar system with two sectoral horn antennas and one transmitting lens antenna for long-range drone detection is presented. The present work demonstrates the detection of a quadcopter-type drone using the implemented radar system up to a distance of 1 km. Moreover, a 3D subspace-based algorithm is proposed for the joint range-azimuth-Doppler estimation of long-range drone detection. The effectiveness of the long-range drone detection is verified with the implemented radar system through a variety of experiments in outdoor environments. This is the first such demonstration for long-range drone detection with a 24-GHz FMCW radar. |
topic |
FMCW drone detection 3D subspace-based algorithm |
url |
https://www.mdpi.com/1424-8220/18/12/4171 |
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