Narrow-Band Clutter Mitigation in Spectral Polarimetric Weather Radar

Narrow-Band Clutter Mitigation in Spectral Polarimetric Weather Radar

Yin, J. (TU Delft Atmospheric Remote Sensing)
Unal, C.M.H. (TU Delft Atmospheric Remote Sensing)
Russchenberg, H.W.J. (TU Delft Geoscience and Remote Sensing)

Geoscience and Remote Sensing

2017-05-25

In this paper, a new clutter suppression method, named the moving double spectral linear depolarization ratio (MDsLDR) filter, is put forward to mitigate narrow-band clutter in weather radars. The narrow-band clutter observed in the Doppler domain includes: 1) stationary clutter such as ground clutter and 2) nonstationary clutter such as artifacts caused by the radar system itself or external sources. These artifacts are difficult to remove, because they are not confined to specific azimuth and range bins. Based on the difference of the spectral-polarization feature and the spectral continuity of precipitation and clutter, the MDsLDR filter can remove ground clutter, artifacts, and noise. The performance of the newly proposed filter is assessed by data collected by the Doppler-polarimetric IRCTR Drizzle Radar. Three precipitation cases are considered in this paper: moderate/light precipitation, convective precipitation with hook-echo signature, and light precipitation with severe artifact contamination. Furthermore, the implementation of the MDsDLR filter requires relatively low computation complexity, so that the MDsLDR filter can be operated in real time.

narrow-band clutter
nonstationary clutter
real-time clutter mitigation
spectral continuity
spectral polarimetry

http://resolver.tudelft.nl/uuid:4d5f43aa-c6b3-499f-a5ca-415aa974b1d9

https://doi.org/10.1109/TGRS.2017.2696263

0196-2892

IEEE Transactions on Geoscience and Remote Sensing

Institutional Repository

journal article

© 2017 J. Yin, C.M.H. Unal, H.W.J. Russchenberg