Real-Time Spectral Moments Estimation and Ground Clutter Suppression for Precipitation Radar with High Resolution
Summary :
The purpose of this study is the real-time estimation of Doppler spectral moments for precipitation in the presence of ground clutter overlap. The proposed method is a frequency domain approach that uses a Gaussian model both to remove clutter spectrum and to estimate weather spectrum. The main advantage of this method is that it does not use processes like several fitting procedures and enables to estimate profiles of precipitation in a short processing time. Therefore this method is efficient for real-time radar observation with high range and time resolution. The performance of this method is evaluated based on simulation data and the observation data acquired by the Ku-band broad band radar (BBR) [1].
- Publication
- IEICE TRANSACTIONS on Communications Vol.E92-B No.2 pp.578-584
- Publication Date
- 2009/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E92.B.578
- Type of Manuscript
- PAPER
- Category
- Sensing
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Keyword
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Eiichi YOSHIKAWA, Tomoaki MEGA, Takeshi MORIMOTO, Tomoo USHIO, Zen KAWASAKI, "Real-Time Spectral Moments Estimation and Ground Clutter Suppression for Precipitation Radar with High Resolution" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 2, pp. 578-584, February 2009, doi: 10.1587/transcom.E92.B.578.
Abstract: The purpose of this study is the real-time estimation of Doppler spectral moments for precipitation in the presence of ground clutter overlap. The proposed method is a frequency domain approach that uses a Gaussian model both to remove clutter spectrum and to estimate weather spectrum. The main advantage of this method is that it does not use processes like several fitting procedures and enables to estimate profiles of precipitation in a short processing time. Therefore this method is efficient for real-time radar observation with high range and time resolution. The performance of this method is evaluated based on simulation data and the observation data acquired by the Ku-band broad band radar (BBR) [1].
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.578/_p
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@ARTICLE{e92-b_2_578,
author={Eiichi YOSHIKAWA, Tomoaki MEGA, Takeshi MORIMOTO, Tomoo USHIO, Zen KAWASAKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Real-Time Spectral Moments Estimation and Ground Clutter Suppression for Precipitation Radar with High Resolution},
year={2009},
volume={E92-B},
number={2},
pages={578-584},
abstract={The purpose of this study is the real-time estimation of Doppler spectral moments for precipitation in the presence of ground clutter overlap. The proposed method is a frequency domain approach that uses a Gaussian model both to remove clutter spectrum and to estimate weather spectrum. The main advantage of this method is that it does not use processes like several fitting procedures and enables to estimate profiles of precipitation in a short processing time. Therefore this method is efficient for real-time radar observation with high range and time resolution. The performance of this method is evaluated based on simulation data and the observation data acquired by the Ku-band broad band radar (BBR) [1].},
keywords={},
doi={10.1587/transcom.E92.B.578},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Real-Time Spectral Moments Estimation and Ground Clutter Suppression for Precipitation Radar with High Resolution
T2 - IEICE TRANSACTIONS on Communications
SP - 578
EP - 584
AU - Eiichi YOSHIKAWA
AU - Tomoaki MEGA
AU - Takeshi MORIMOTO
AU - Tomoo USHIO
AU - Zen KAWASAKI
PY - 2009
DO - 10.1587/transcom.E92.B.578
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2009
AB - The purpose of this study is the real-time estimation of Doppler spectral moments for precipitation in the presence of ground clutter overlap. The proposed method is a frequency domain approach that uses a Gaussian model both to remove clutter spectrum and to estimate weather spectrum. The main advantage of this method is that it does not use processes like several fitting procedures and enables to estimate profiles of precipitation in a short processing time. Therefore this method is efficient for real-time radar observation with high range and time resolution. The performance of this method is evaluated based on simulation data and the observation data acquired by the Ku-band broad band radar (BBR) [1].
ER -
English
