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contributor authorLei, Lei
contributor authorZhang, Guifu
contributor authorDoviak, Richard J.
contributor authorPalmer, Robert
contributor authorCheong, Boon Leng
contributor authorXue, Ming
contributor authorCao, Qing
contributor authorLi, Yinguang
date accessioned2017-06-09T17:23:56Z
date available2017-06-09T17:23:56Z
date copyright2012/06/01
date issued2012
identifier issn0739-0572
identifier otherams-84523.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4227869
description abstracthe quality of polarimetric radar data degrades as the signal-to-noise ratio (SNR) decreases. This substantially limits the usage of collected polarimetric radar data to high SNR regions. To improve data quality at low SNRs, multilag correlation estimators are introduced. The performance of the multilag estimators for spectral moments and polarimetric parameters is examined through a theoretical analysis and by the use of simulated data. The biases and standard deviations of the estimates are calculated and compared with those estimates obtained using the conventional method.
publisherAmerican Meteorological Society
titleMultilag Correlation Estimators for Polarimetric Radar Measurements in the Presence of Noise
typeJournal Paper
journal volume29
journal issue6
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-11-00010.1
journal fristpage772
journal lastpage795
treeJournal of Atmospheric and Oceanic Technology:;2012:;volume( 029 ):;issue: 006
contenttypeFulltext


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