Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars

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 sp...

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Main Authors: Jiapeng Yin, Haonan Chen, Yongzhen Li, Xuesong Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9451598/
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author Jiapeng Yin
Haonan Chen
Yongzhen Li
Xuesong Wang
author_facet Jiapeng Yin
Haonan Chen
Yongzhen Li
Xuesong Wang
author_sort Jiapeng Yin
collection DOAJ
description 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.
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spelling doaj.art-57f31489cde6472c8c61429b4af6ac352022-12-21T19:51:29ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01146131614510.1109/JSTARS.2021.30883249451598Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather RadarsJiapeng Yin0https://orcid.org/0000-0002-7102-5243Haonan Chen1https://orcid.org/0000-0002-9795-3064Yongzhen Li2https://orcid.org/0000-0003-4372-612XXuesong Wang3College of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaDepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO, USACollege of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha, ChinaIn 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.https://ieeexplore.ieee.org/document/9451598/Clutter mitigationdual-polarization weather radarnarrow-band moving clutterradio frequency interference (RFI)spectral depolarization ratio (sDR)wind turbine clutter (WTC)
spellingShingle Jiapeng Yin
Haonan Chen
Yongzhen Li
Xuesong Wang
Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Clutter mitigation
dual-polarization weather radar
narrow-band moving clutter
radio frequency interference (RFI)
spectral depolarization ratio (sDR)
wind turbine clutter (WTC)
title Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars
title_full Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars
title_fullStr Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars
title_full_unstemmed Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars
title_short Clutter Mitigation Based on Spectral Depolarization Ratio for Dual-Polarization Weather Radars
title_sort clutter mitigation based on spectral depolarization ratio for dual polarization weather radars
topic Clutter mitigation
dual-polarization weather radar
narrow-band moving clutter
radio frequency interference (RFI)
spectral depolarization ratio (sDR)
wind turbine clutter (WTC)
url https://ieeexplore.ieee.org/document/9451598/
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AT haonanchen cluttermitigationbasedonspectraldepolarizationratiofordualpolarizationweatherradars
AT yongzhenli cluttermitigationbasedonspectraldepolarizationratiofordualpolarizationweatherradars
AT xuesongwang cluttermitigationbasedonspectraldepolarizationratiofordualpolarizationweatherradars