Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies

Vasilii Semkin; Jaakko Haarla; Thomas Pairon; Christopher Slezak; Sundeep Rangan; Ville Viikari; Claude Oestges

doi:10.1109/ACCESS.2020.2979339

Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies

Vasilii Semkin^*
, Jaakko Haarla
, Thomas Pairon
, Christopher Slezak
, Sundeep Rangan
, Ville Viikari
, Claude Oestges

^*Tämän työn vastaava kirjoittaja

Université Catholique de Louvain
VTT Technical Research Centre of Finland Ltd.
New York University

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

105 Sitaatiot (Scopus)

1455 Lataukset (Pure)

Abstrakti

In this work, we present quasi-monostatic Radar Cross Section measurements of different Unmanned Aerial Vehicles at 26-40 GHz. We study the Radar Cross Section signatures of nine different multi-rotor platforms as well as a single Lithium-ion Polymer battery. These results are useful in the design and testing of radar systems which employ millimeter-wave frequencies for superior drone detection. The data shows how radio waves are scattered by drones of various sizes and what impact the primary construction material has on the received Radar Cross Section signatures. Matching our intuition, the measurements confirm that larger drones made of carbon fiber are easier to detect, whereas drones made from plastic and styrofoam materials are less visible to the radar systems. The measurement results are published as an open database, creating an invaluable reference for engineers working on drone detection.

Alkuperäiskieli	Englanti
Artikkeli	9032332
Sivut	48958-48969
Sivumäärä	12
Julkaisu	IEEE Access
Vuosikerta	8
DOI - pysyväislinkit	https://doi.org/10.1109/ACCESS.2020.2979339
Tila	Julkaistu - 1 tammik. 2020
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This work was supported in part by the MACHAON Project funded by the Belgian Science Foundation FRS-FNRS (Fonds de la Recherche Scientifique), in part by the MUSEWINET Project through the Belgian Science Foundation EOS Program, and in part by the Framework of COST Action CA15104 IRACON. The work of Christopher Slezak and Sundeep Rangan was supported in part by NSF under Grant 1302336, Grant 1564142, Grant 1547332, and Grant 1824434, in part by NIST, in part by SRC, and in part by the industrial affiliates of NYU WIRELESS. The authors are particularly grateful to Viktor Nässi from the Department of Communications and Networking, Aalto University, assistant Professor Themistoklis Charalambous from the Department of Electrical Engineering and Automation, Aalto University, and Antti Lipasti from the ‘‘Vertical Hobby’’ for providing drone models for the measurements. The authors acknowledge the fruitful discussions in COST Action CA15104 IRACON. V. Semkin would like to acknowledge the support from Nokia Foundation, Jorma Ollila grant.

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10.1109/ACCESS.2020.2979339Lisenssi: CC BY

Semkin_Analyzing_Radar_IEEEAccessFinal published version, 4,21 MBLisenssi: CC BY

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Link to publication in Scopus

Drone RCS measurements (26-40 GHz)
Semkin, V. (Contributor), Haarla, J. (Contributor), Pairon, T. (Creator), Slezak, C. (Creator), Rangan, S. (Creator), Viikari, V. (Contributor) & Oestges, C. (Creator), IEEE DataPort, 1 tammik. 2019
DOI - pysyväislinkki: 10.21227/ry87-xf51, https://ieee-dataport.org/open-access/drone-rcs-measurements-26-40-ghz
Tietoaineisto: Dataset

Drones could still be a threat to public safety -- New research improves drone detection
Viikari, V.
18/03/2020
3 kohdetta/ Medianäkyvyys
Lehdistö/media: Esiintyminen mediassa

Siteeraa tätä

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AU - Viikari, Ville

AU - Oestges, Claude

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Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies

Abstrakti

Rahoitus

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Tietoaineistot

Drone RCS measurements (26-40 GHz)

Lehtileikkeet

Drones could still be a threat to public safety -- New research improves drone detection

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