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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10405 - Electrochemistry (dry cells, batteries, fuel cells, corrosion metals, electrolysis)

Result continuities

  • Project

  • 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