@inproceedings{286ef4a1d11249e69872273170d60a56,
title = "The modelling of wind turbine influence in the primary radar systems",
abstract = "Wind turbines or wind farms present a major source of renewable energy. The expansion of wind turbines across the world rapidly increases. Unfortunately, for radar systems, wind turbines are a big source of clutter that can negatively influence the behavior of the detection capabilities of radar systems, or even totally 'blind' radar systems. The problematic of mitigation of the influence of the wind turbines on radar systems is highly variable and depends on parameters of the wind turbines and radar systems. The main negative parameters of wind turbines are large Radar Cross Sections and Doppler shift spread of reflected signals. For the determination of general mitigation techniques, it is important to make a deep analysis of the different types of scenarios using a developed simulator of reflected signals from a wind turbine. This paper describes developed simulator and wind turbine parameter analysis.",
keywords = "Radar Cross Section, clutter, power plant, primary radar system, reflection, wind turbine",
author = "Jan Pidanic and Karel Juryca and Heru Suhartanto",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017 ; Conference date: 28-10-2017 Through 29-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICACSIS.2017.8355011",
language = "English",
series = "2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "47--51",
booktitle = "2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017",
address = "United States",
}
