Wind turbine angular velocity estimation using polarimetry

Chrysovalantis Kladogenis; Hans Driessen; Oleg A. Krasnov; Alexander Yarovoy

Wind turbine angular velocity estimation using polarimetry

Chrysovalantis Kladogenis, Hans Driessen, Oleg A. Krasnov, Alexander Yarovoy

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	13th European Conference on Antennas and Propagation, EuCAP 2019
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	978-88-907018-8-7
ISBN (Print)	978-1-5386-8127-5
Publication status	Published - 1 Mar 2019
Event	EuCAP 2019: 13th European Conference on Antennas and Propagation - Krakow, Poland Duration: 31 Mar 2019 → 5 Apr 2019 Conference number: 13

Publication series

Name	13th European Conference on Antennas and Propagation, EuCAP 2019

Conference

Conference	EuCAP 2019
Abbreviated title	EuCAP
Country/Territory	Poland
City	Krakow
Period	31/03/19 → 5/04/19

Bibliographical note

green

Keywords

Angular velocity estimation
Radar polarimetry
Wind turbine

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08739505Final published version, 592 KB

https://ieeexplore.ieee.org/document/8739505

Cite this

@inproceedings{a9fffc61992b4c9685eef75c41004db1,

title = "Wind turbine angular velocity estimation using polarimetry",

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.",

keywords = "Angular velocity estimation, Radar polarimetry, Wind turbine",

author = "Chrysovalantis Kladogenis and Hans Driessen and Krasnov, {Oleg A.} and Alexander Yarovoy",

note = "green; EuCAP 2019 : 13th European Conference on Antennas and Propagation, EuCAP ; Conference date: 31-03-2019 Through 05-04-2019",

year = "2019",

month = mar,

day = "1",

language = "English",

isbn = "978-1-5386-8127-5",

series = "13th European Conference on Antennas and Propagation, EuCAP 2019",

publisher = "IEEE",

pages = "1--4",

booktitle = "13th European Conference on Antennas and Propagation, EuCAP 2019",

address = "United States",

}

Wind turbine angular velocity estimation using polarimetry. / Kladogenis, Chrysovalantis; Driessen, Hans ; Krasnov, Oleg A. et al.
13th European Conference on Antennas and Propagation, EuCAP 2019. IEEE, 2019. p. 1-4 8739505 (13th European Conference on Antennas and Propagation, EuCAP 2019).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Wind turbine angular velocity estimation using polarimetry

AU - Kladogenis, Chrysovalantis

AU - Driessen, Hans

AU - Krasnov, Oleg A.

AU - Yarovoy, Alexander

N1 - Conference code: 13

PY - 2019/3/1

Y1 - 2019/3/1

N2 - 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.

AB - 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.

KW - Angular velocity estimation

KW - Radar polarimetry

KW - Wind turbine

UR - http://www.scopus.com/inward/record.url?scp=85068445033&partnerID=8YFLogxK

M3 - Conference contribution

SN - 978-1-5386-8127-5

T3 - 13th European Conference on Antennas and Propagation, EuCAP 2019

SP - 1

EP - 4

BT - 13th European Conference on Antennas and Propagation, EuCAP 2019

PB - IEEE

T2 - EuCAP 2019

Y2 - 31 March 2019 through 5 April 2019

ER -

Wind turbine angular velocity estimation using polarimetry

Abstract

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Bibliographical note

Keywords

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