Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar

Jiapeng Yin; Oleg Krasnov; Christine Unal; Stefano Medagli; Herman Russchenberg

doi:10.23919/EuCAP.2017.7928348

Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar

Jiapeng Yin, Oleg Krasnov, Christine Unal, Stefano Medagli, Herman Russchenberg

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

5 Citations (Scopus)

194 Downloads (Pure)

Abstract

Wind turbine clutter has gradually become a concern for the radar community for its increasing size and quantity worldwide. Based on the S-band polarimetric Doppler PARSAX radar measurements, this paper demonstrates the micro-Doppler features and spectral-polarimetric characteristic of wind turbine clutter, the probability distribution functions of different spectral-polarimetric variables. Finally, a simple thresholding method to remove wind turbine clutter is put forward, and its effectiveness can be verified by the measured data. This work is expected to contribute to developing effective algorithms for this dynamic clutter suppression for operational weather radar.

Original language	English
Title of host publication	11th European Conference on Antennas and Propagation, EuCap 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	3351-3355
Number of pages	5
ISBN (Electronic)	978-8-8907-0187-0
ISBN (Print)	978-1-5090-3742-1
DOIs	https://doi.org/10.23919/EuCAP.2017.7928348
Publication status	Published - 18 May 2017
Event	EuCAP 2017: 11th European Conference on Antennas and Propagation - Paris, France Duration: 19 Mar 2017 → 24 Mar 2017

Conference

Conference	EuCAP 2017
Abbreviated title	EUCAP 2017
Country/Territory	France
City	Paris
Period	19/03/17 → 24/03/17

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10.23919/EuCAP.2017.7928348

Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather RadarAccepted author manuscript, 908 KB

Cite this

@inproceedings{2480c8f8d7274e7ca7b87b046871431a,

title = "Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar",

abstract = "Wind turbine clutter has gradually become a concern for the radar community for its increasing size and quantity worldwide. Based on the S-band polarimetric Doppler PARSAX radar measurements, this paper demonstrates the micro-Doppler features and spectral-polarimetric characteristic of wind turbine clutter, the probability distribution functions of different spectral-polarimetric variables. Finally, a simple thresholding method to remove wind turbine clutter is put forward, and its effectiveness can be verified by the measured data. This work is expected to contribute to developing effective algorithms for this dynamic clutter suppression for operational weather radar.",

author = "Jiapeng Yin and Oleg Krasnov and Christine Unal and Stefano Medagli and Herman Russchenberg",

year = "2017",

month = may,

day = "18",

doi = "10.23919/EuCAP.2017.7928348",

language = "English",

isbn = "978-1-5090-3742-1",

pages = "3351--3355",

booktitle = "11th European Conference on Antennas and Propagation, EuCap 2017",

publisher = "IEEE",

address = "United States",

note = "EuCAP 2017 : 11th European Conference on Antennas and Propagation, EUCAP 2017 ; Conference date: 19-03-2017 Through 24-03-2017",

}

Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar. / Yin, Jiapeng; Krasnov, Oleg ; Unal, Christine et al.
11th European Conference on Antennas and Propagation, EuCap 2017. Piscataway, NJ: IEEE, 2017. p. 3351-3355.

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

TY - GEN

T1 - Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar

AU - Yin, Jiapeng

AU - Krasnov, Oleg

AU - Unal, Christine

AU - Medagli, Stefano

AU - Russchenberg, Herman

PY - 2017/5/18

Y1 - 2017/5/18

N2 - Wind turbine clutter has gradually become a concern for the radar community for its increasing size and quantity worldwide. Based on the S-band polarimetric Doppler PARSAX radar measurements, this paper demonstrates the micro-Doppler features and spectral-polarimetric characteristic of wind turbine clutter, the probability distribution functions of different spectral-polarimetric variables. Finally, a simple thresholding method to remove wind turbine clutter is put forward, and its effectiveness can be verified by the measured data. This work is expected to contribute to developing effective algorithms for this dynamic clutter suppression for operational weather radar.

AB - Wind turbine clutter has gradually become a concern for the radar community for its increasing size and quantity worldwide. Based on the S-band polarimetric Doppler PARSAX radar measurements, this paper demonstrates the micro-Doppler features and spectral-polarimetric characteristic of wind turbine clutter, the probability distribution functions of different spectral-polarimetric variables. Finally, a simple thresholding method to remove wind turbine clutter is put forward, and its effectiveness can be verified by the measured data. This work is expected to contribute to developing effective algorithms for this dynamic clutter suppression for operational weather radar.

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U2 - 10.23919/EuCAP.2017.7928348

DO - 10.23919/EuCAP.2017.7928348

M3 - Conference contribution

SN - 978-1-5090-3742-1

SP - 3351

EP - 3355

BT - 11th European Conference on Antennas and Propagation, EuCap 2017

PB - IEEE

CY - Piscataway, NJ

T2 - EuCAP 2017

Y2 - 19 March 2017 through 24 March 2017

ER -

Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar

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11th European Conference on Antennas and Propagation, EUCAP 2017

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Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar

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11th European Conference on Antennas and Propagation, EUCAP 2017

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