Presentation 2011-06-30
Weather parameter estimation of Doppler weather radar by a robust mixture model
Satoshi KON, Toshihisa TANAKA,
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Abstract(in English) An observed signal of the Doppler weather radar includes not only weather echoes but also a ground clutter. For accurate observation of weather data, we need to remove the effect of the ground clutter. In this paper, we propose to model the spectrum of an observed signal as a mixture of density functions corresponding to a ground clutter and a weather echo. Where we apply the t density function to a ground clutter. Moreover, we apply the von Mises density function to a weather echo. To estimate the parameters of the density function, we apply the expectation-maximization (EM) algorithm in a maximum a posteriori (MAP) estimation with hyperparameters learned from the actual measurements of the ground clutter. Experimental results show that the proposed method works well in estimating the wind velocity, rainfall amount, and turbulence from the weather echo even when the spectrum of the weather echo is overlapped with that of the ground clutter in a lower frequency band.
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Keyword(in English) ground clutter / weather echo / mixture density function / MAP estimation
Paper # CAS2011-14,VLD2011-21,SIP2011-43,MSS2011-14
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Conference Information
Committee VLD
Conference Date 2011/6/23(1days)
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Registration To VLSI Design Technologies (VLD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Weather parameter estimation of Doppler weather radar by a robust mixture model
Sub Title (in English)
Keyword(1) ground clutter
Keyword(2) weather echo
Keyword(3) mixture density function
Keyword(4) MAP estimation
1st Author's Name Satoshi KON
1st Author's Affiliation Department of Electrical and Electronic Engineering, Graduate School of Engineering Tokyo University of Agriculture and Technology()
2nd Author's Name Toshihisa TANAKA
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Graduate School of Engineering Tokyo University of Agriculture and Technology
Date 2011-06-30
Paper # CAS2011-14,VLD2011-21,SIP2011-43,MSS2011-14
Volume (vol) vol.111
Number (no) 103
Page pp.pp.-
#Pages 6
Date of Issue