Prediction of Wind Turbine's Doppler Frequency Shifts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39917054" target="_blank" >RIV/00216275:25530/20:39917054 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9229547" target="_blank" >https://ieeexplore.ieee.org/document/9229547</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NTSP49686.2020.9229547" target="_blank" >10.1109/NTSP49686.2020.9229547</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of Wind Turbine's Doppler Frequency Shifts
Original language description
This article deals with the prediction of the dominant Doppler frequency shifts of the wind turbine blades. Spread-spectrum of the Doppler frequency shifts of wind turbine blades can mask the radar targets. Current filtering methods are designed to filter only the complete radar resolution cells in places where wind turbines are located. However, these methods do not solve the problem of masking the target. The parametric model was designed to generate the dominant Doppler frequency shifts of wind turbine blades. The non-linear regression model was used for the initial prediction of the dominant Doppler frequency shifts. The prediction model was applied to generated and measured radar data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
New Trends in Signal Processing, NTSP : proceedings
ISBN
978-1-72816-155-6
ISSN
1339-1445
e-ISSN
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Number of pages
5
Pages from-to
47-51
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Demänovská dolina
Event date
Oct 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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