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 volumeConference contributionScientificpeer-review

5 Citations (Scopus)
163 Downloads (Pure)


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 languageEnglish
Title of host publication11th European Conference on Antennas and Propagation, EuCap 2017
Place of PublicationPiscataway, NJ
Number of pages5
ISBN (Electronic)978-8-8907-0187-0
ISBN (Print)978-1-5090-3742-1
Publication statusPublished - 18 May 2017
EventEuCAP 2017: 11th European Conference on Antennas and Propagation - Paris, France
Duration: 19 Mar 201724 Mar 2017


ConferenceEuCAP 2017
Abbreviated titleEUCAP 2017

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