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IEICE Transactions on Communications
Article . 2009 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2009
Data sources: DBLP
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Real-Time Spectral Moments Estimation and Ground Clutter Suppression for Precipitation Radar with High Resolution

Authors: 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

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

weather radar, broad band radar, parameter estimation, Doppler spectrum moments

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average