Polarimetric optimization for clutter suppression in spectral polarimetric weather radar
Jiapeng Yin (TU Delft - Atmospheric Remote Sensing)
C.M.H. Unal (TU Delft - Atmospheric Remote Sensing)
H.W.J. 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
For the polarimetric-Doppler weather radar, sometimes there are artifacts caused by radar system itself or external sources displaying in the radar plan position indicator (PPI). These artifacts are not confined to specific range bins and also they are non-stationary when observed in the Doppler domain. This paper puts forward a method to suppress such clutter by designing the generalized spectral linear depolarization ratio (GsLDR) filter. This filter combines the optimal polarization contrast enhancement (OPCE) technique and the double spectral linear depolarization ratio (DsLDR) filter. The success of this filter is mainly based on the polarimetric property difference between precipitation and clutter. The X-band polarimetric-Doppler IRCTR Drizzle Radar (IDRA) data are used to qualitatively and quantitatively verify the performance of the newly proposed filter for radar artifacts suppression.