Drone RCS statistical behaviour

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918161" target="_blank" >RIV/00216275:25530/21:39918161 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Drone RCS statistical behaviour
Original language description
The drones are becoming widespread continuously. Risks of drones misuse poses challenges for its radar detection. The paper presents the results of the measurement and analysis of several nano and micro size UAVs (drones) Radar Cross Section (RCS). Presented results were measured in far-field in X-band. Measured drones include quad-copters, hexacopters and fixed-wing 2 m wingspan glider. Subsequent measurement results analysis focuses on the RCS statistical properties. The results can be utilised for automated target recognition and detection performance evaluation. No restrictions for presentation nor publication of paper in meeting proceeding applies, the paper is not subject of classification and is intended for public release.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MSG-SET-183 Specialists' Meeting on Drone Detectability: Modelling the Relevant Signatureability: Modelling the Relevant Signature
ISBN
978-92-837-2357-8
ISSN
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e-ISSN
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Number of pages
18
Pages from-to
1-18
Publisher name
STO - Science & Technology Organization
Place of publication
Praha
Event location
ONLINE
Event date
Apr 27, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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