Radio spectrum analysis with a focus on WiFi bands using software-defined radio

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144666" target="_blank" >RIV/00216305:26220/22:PU144666 - 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
Radio spectrum analysis with a focus on WiFi bands using software-defined radio
Original language description
This paper deals with the issue of radio spectrum analysis focused on WiFi (Wireless Fidelity) bands. The aim of the article is to approach the issue of capturing the radio spectrum and its visualization. Ways of approaching the solution of the problem are discussed, and on the basis of this comparison, attention is further focused on the use of SDR (Software Defined Radio). This device creates digitalized samples of captured radio signals and forwards them via USB to a computer, where the samples are further processed and visualized. The result is a functional program capable of visualizing this data in the form of a waterfall spectrogram. These results can also be additionally used for advanced machine analysis.
Czech name
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Czech description
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Project
<a href="/en/project/TJ02000332" target="_blank" >TJ02000332: Advanced methods for monitoring wireless network traffic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 28th Conference STUDENT EEICT 2022
ISBN
978-80-214-6029-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
485-489
Publisher name
Neuveden
Place of publication
Vysoké učení technické v Brně, Fakulta elektrote
Event location
Brno
Event date
Apr 26, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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