Narrow-Band Clutter Mitigation in Spectral Polarimetric Weather Radar

Journal article (2017)

Authors

J. Yin Atmospheric Remote Sensing - CEG
C.M.H. Unal Atmospheric Remote Sensing - CEG
H.W.J. Russchenberg Geoscience and Remote Sensing
Research Group
Atmospheric Remote Sensing (CEG) (TU Delft)
Copyright: © 2017 J. Yin, C.M.H. Unal, H.W.J. Russchenberg
DOI
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https://doi.org/10.1109/TGRS.2017.2696263
Spectral polarimetry Narrow-band clutter Nonstationary clutter Real-time clutter mitigation Spectral continuity
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Published Date

25-05-2017

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Atmospheric Remote Sensing

Abstract

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.