Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar

Conference paper (2017)

Authors

J. Yin Atmospheric Remote Sensing - CEG
O.A. Krasnov Microwave Sensing, Signals & Systems - EEMCS
C.M.H. Unal Atmospheric Remote Sensing - CEG
S. Medagli Microwave Sensing, Signals & Systems - EEMCS
H.W.J. Russchenberg Geoscience and Remote Sensing
Research Group
Atmospheric Remote Sensing (CEG) (TU Delft)
Copyright: © 2017 J. Yin, O.A. Krasnov, C.M.H. Unal, S. Medagli, H.W.J. Russchenberg
DOI
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https://doi.org/10.23919/EuCAP.2017.7928348
More Info
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Published Date

18-05-2017

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Atmospheric Remote Sensing

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.