Cargando…

Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution

With the decrease in the cost and size of drones in recent years, their number has also increased exponentially. As such, the concerns regarding security aspects that are raised by their presence are also becoming more serious. The necessity of designing and implementing systems that are able to det...

Descripción completa

Detalles Bibliográficos
Autores principales: Chiper, Florin-Lucian, Martian, Alexandru, Vladeanu, Calin, Marghescu, Ion, Craciunescu, Razvan, Fratu, Octavian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879497/
https://www.ncbi.nlm.nih.gov/pubmed/35214355
http://dx.doi.org/10.3390/s22041453
_version_ 1784658905682411520
author Chiper, Florin-Lucian
Martian, Alexandru
Vladeanu, Calin
Marghescu, Ion
Craciunescu, Razvan
Fratu, Octavian
author_facet Chiper, Florin-Lucian
Martian, Alexandru
Vladeanu, Calin
Marghescu, Ion
Craciunescu, Razvan
Fratu, Octavian
author_sort Chiper, Florin-Lucian
collection PubMed
description With the decrease in the cost and size of drones in recent years, their number has also increased exponentially. As such, the concerns regarding security aspects that are raised by their presence are also becoming more serious. The necessity of designing and implementing systems that are able to detect and provide defense actions against such threats has become apparent. In this paper, we perform a survey regarding the different drone detection and defense systems that were proposed in the literature, based on different types of methods (i.e., radio frequency (RF), acoustical, optical, radar, etc.), with an emphasis on RF-based systems implemented using software-defined radio (SDR) platforms. We have followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines in order to provide a concise and thorough presentation of the current status of the subject. In the final part, we also describe our own solution that was designed and implemented in the framework of the DronEnd research project. The DronEnd system is based on RF methods and uses SDR platforms as the main hardware elements.
format Online
Article
Text
id pubmed-8879497
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88794972022-02-26 Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution Chiper, Florin-Lucian Martian, Alexandru Vladeanu, Calin Marghescu, Ion Craciunescu, Razvan Fratu, Octavian Sensors (Basel) Review With the decrease in the cost and size of drones in recent years, their number has also increased exponentially. As such, the concerns regarding security aspects that are raised by their presence are also becoming more serious. The necessity of designing and implementing systems that are able to detect and provide defense actions against such threats has become apparent. In this paper, we perform a survey regarding the different drone detection and defense systems that were proposed in the literature, based on different types of methods (i.e., radio frequency (RF), acoustical, optical, radar, etc.), with an emphasis on RF-based systems implemented using software-defined radio (SDR) platforms. We have followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines in order to provide a concise and thorough presentation of the current status of the subject. In the final part, we also describe our own solution that was designed and implemented in the framework of the DronEnd research project. The DronEnd system is based on RF methods and uses SDR platforms as the main hardware elements. MDPI 2022-02-14 /pmc/articles/PMC8879497/ /pubmed/35214355 http://dx.doi.org/10.3390/s22041453 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chiper, Florin-Lucian
Martian, Alexandru
Vladeanu, Calin
Marghescu, Ion
Craciunescu, Razvan
Fratu, Octavian
Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution
title Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution
title_full Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution
title_fullStr Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution
title_full_unstemmed Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution
title_short Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution
title_sort drone detection and defense systems: survey and a software-defined radio-based solution
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879497/
https://www.ncbi.nlm.nih.gov/pubmed/35214355
http://dx.doi.org/10.3390/s22041453
work_keys_str_mv AT chiperflorinlucian dronedetectionanddefensesystemssurveyandasoftwaredefinedradiobasedsolution
AT martianalexandru dronedetectionanddefensesystemssurveyandasoftwaredefinedradiobasedsolution
AT vladeanucalin dronedetectionanddefensesystemssurveyandasoftwaredefinedradiobasedsolution
AT marghescuion dronedetectionanddefensesystemssurveyandasoftwaredefinedradiobasedsolution
AT craciunescurazvan dronedetectionanddefensesystemssurveyandasoftwaredefinedradiobasedsolution
AT fratuoctavian dronedetectionanddefensesystemssurveyandasoftwaredefinedradiobasedsolution