Spectral Polarimetric Features Analysis of Wind Turbine Clutter in Weather Radar
Jiapeng Yin (TU Delft - Atmospheric Remote Sensing)
OA Krasnov (TU Delft - Microwave Sensing, Signals & Systems)
Christine Unal (TU Delft - Atmospheric Remote Sensing)
Stefano Medagli (TU Delft - Microwave Sensing, Signals & Systems)
Herman Russchenberg (TU Delft - Geoscience and Remote Sensing)
More Info
expand_more
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 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.