@inproceedings{c992fbd4e685427887e4d5c1b63187d9,
title = "Prediction of Wind Turbine's Doppler Frequency Shifts",
abstract = "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. ",
keywords = "Doppler frequency shift, prediction, radar, wind turbine",
author = "Karel Juryca and Jan Pidanic and Heru Suhartanto",
note = "Funding Information: The work was supported from ERDF/ESF {"}Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans){"} (No. CZ.02.1.01/0.0/0.0/17 049/0008394). Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 International Conference on New Trends in Signal Processing, NTSP 2020 ; Conference date: 14-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "14",
doi = "10.1109/NTSP49686.2020.9229547",
language = "English",
series = "Proceedings of the International Conference on New Trends in Signal Processing, NTSP 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the International Conference on New Trends in Signal Processing, NTSP 2020",
address = "United States",
}