Multispectral Detection of Commercial Unmanned Aerial Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F19%3A00536584" target="_blank" >RIV/60162694:G43__/19:00536584 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/19/7/1517" target="_blank" >https://www.mdpi.com/1424-8220/19/7/1517</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s19071517" target="_blank" >10.3390/s19071517</a>
Alternative languages
Result language
angličtina
Original language name
Multispectral Detection of Commercial Unmanned Aerial Vehicles
Original language description
The fight against unmanned vehicles is nothing new; however, especially with the arrival of new technologies that are easily accessible for the wider population, new problems are arising. The deployment of small unmanned aerial vehicles (UAVs) by paramilitary organizations during conflicts around the world has become a reality, non-lethal “paparazzi” actions have become a common practice, and it is only a matter of time until the population faces lethal attacks. The basic prerequisite for direct defense against attacking UAVs is their detection. The authors of this paper analysed the possibility of detecting flying aircraft in several different electro-magnetic spectrum bands. Firstly, methods based on calculations and simulations were chosen, and experiments in laboratories and measurements of the exterior were subsequently performed. As a result, values of the radar cross section (RCS), the noise level, the surface temperature, and optical as well as acoustic traces of tested devices were quantified. The outputs obtained from calculated, simulated, and experimentally detected values were found via UAV detection distances using specific sensors working in corresponding parts of the frequency spectrum.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10405 - Electrochemistry (dry cells, batteries, fuel cells, corrosion metals, electrolysis)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-8220
e-ISSN
1424-8220
Volume of the periodical
19
Issue of the periodical within the volume
7
Country of publishing house
CH - SWITZERLAND
Number of pages
28
Pages from-to
1-28
UT code for WoS article
000465570700036
EID of the result in the Scopus database
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