Wind turbine angular velocity estimation using polarimetry

Conference Paper (2019)
Author(s)

Chrysovalantis Kladogenis (Student TU Delft)

Hans Driessen (TU Delft - Microwave Sensing, Signals & Systems)

O. Krasnov (TU Delft - Microwave Sensing, Signals & Systems)

Marco Spirito Alexander Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems
Copyright
© 2019 Chrysovalantis Kladogenis, J.N. Driessen, O.A. Krasnov, Alexander Yarovoy
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Chrysovalantis Kladogenis, J.N. Driessen, O.A. Krasnov, Alexander Yarovoy
Microwave Sensing, Signals & Systems
Pages (from-to)
1-4
ISBN (print)
978-1-5386-8127-5
ISBN (electronic)
978-88-907018-8-7
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Wind turbines usually cause significant interference in the conventional radar operations which might degrade the detection capabilities. Wind turbines do not only block the radar beam focusing on a specific target, thus creating shadowing effects, but also impose Doppler spectra contamination due to the continuous blade rotation. Therefore in order to identify, detect and possibly mitigate the presence of Wind Turbine Clutter (WTC), fundamental features of the blades rotation need to be estimated, such as rotation (angular) velocity. This information can be directly extracted by initially evaluating the angular displacement of the blades between successive radar measurements. In this paper, a method to estimate this rotation angle is proposed which is based on both radar polarimetry and estimation theory.

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