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Polarimetric optimization for clutter suppression in spectral polarimetric weather radar. / Yin, Jiapeng; Unal, Christine; Russchenberg, Herman.

Radar Conference (EuRAD), 2016 European. 2017. p. 205-208 16600082.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Yin, J, Unal, C & Russchenberg, H 2017, Polarimetric optimization for clutter suppression in spectral polarimetric weather radar. in Radar Conference (EuRAD), 2016 European., 16600082, pp. 205-208.

APA

Yin, J., Unal, C., & Russchenberg, H. (2017). Polarimetric optimization for clutter suppression in spectral polarimetric weather radar. In Radar Conference (EuRAD), 2016 European (pp. 205-208). [16600082]

Vancouver

Yin J, Unal C, Russchenberg H. Polarimetric optimization for clutter suppression in spectral polarimetric weather radar. In Radar Conference (EuRAD), 2016 European. 2017. p. 205-208. 16600082

Author

BibTeX

@inproceedings{c4f5ff9858ea47e0963e585c1875cd89,
title = "Polarimetric optimization for clutter suppression in spectral polarimetric weather radar",
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.",
author = "Jiapeng Yin and Christine Unal and Herman Russchenberg",
year = "2017",
month = "1",
day = "16",
language = "English",
isbn = "978-1-5090-1513-9",
pages = "205--208",
booktitle = "Radar Conference (EuRAD), 2016 European",

}

RIS

TY - GEN

T1 - Polarimetric optimization for clutter suppression in spectral polarimetric weather radar

AU - Yin, Jiapeng

AU - Unal, Christine

AU - Russchenberg, Herman

PY - 2017/1/16

Y1 - 2017/1/16

N2 - 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.

AB - 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.

UR - http://resolver.tudelft.nl/uuid:UUID: c4f5ff98-58ea-47e0-963e-585c1875cd89

M3 - Conference contribution

SN - 978-1-5090-1513-9

SP - 205

EP - 208

BT - Radar Conference (EuRAD), 2016 European

ER -

ID: 20939268