Abstract
In this article, a spectral polarimetric filter named moving spectral depolarization ratio (MsDR) filter is proposed to mitigate the effects of clutter and noise for dual-polarization weather radar without cross-polar measurements. The filter is based on a spectral polarimetric variable termed as spectral depolarization ratio (sDR). sDR can be estimated by any polarimetric weather radar, making the MsDR filter widely applicable. Taking advantage of the spectral polarimetric features and the range-Doppler continuity of precipitation, the MsDR filter is implemented in the range-Doppler spectrogram. The performance of the MsDR filter is assessed using data collected by 1) an X-band full-polarimetric radar interfered by narrow-band clutter (both stationary and moving) and sidelobe wind turbine clutter; 2) a C-band operational dual-polarization radar affected by radio frequency interference. In addition, the implementation of the MsDR filter is straightforward, and the computational complexity is relatively low. Hence, the MsDR filter has great potential to be applied in real-time for operational radar systems at different frequencies.
Highlights
P OLARIMETRIC Doppler weather radar is well recognized as an effective tool for hydrometeorological observations at high spatial and temporal resolution
The moving artifacts mitigation is not sufficient after applying the standard processing (SP), while the clutter suppression performance is significantly improved after applying the moving double spectral linear depolarization ratio (MDsLDR) and moving spectral depolarization ratio (MsDR) filters
This paper develops an improved spectral polarimetric filter to mitigate clutter and noise for dual-polarization weather radar systems without cross-polar measurements
Summary
P OLARIMETRIC Doppler weather radar is well recognized as an effective tool for hydrometeorological observations at high spatial and temporal resolution. This study uses sDR to replace sLDR in the filter design, making the filter applicable for any operational radars scanning in the SHV mode. To demonstrate the performance of the designed MsDR filter, data from the following radars are used: 1) an Xband research radar with full-polarimetric capability; 2) a Cband radar operating in SHV mode. By using data from the full-polarimetric radar, we compare the clutter mitigation performance of the MsDR filter with the MDsLDR filter, for narrow-band clutter and for sidelobe WTC. The C-band radar data are used mainly to demonstrate the operational performance of the MsDR filter in complex environments characterized by RFI.
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