DocumentCode :
1338043
Title :
Detection and Mitigation of Second-Trip Echo in Polarimetric Weather Radar Employing Random Phase Coding
Author :
Cao, Qing ; Zhang, Guifu ; Palmer, Robert D. ; Lei, Lei
Author_Institution :
Atmos. Radar Res. Center, Univ. of Oklahoma, Norman, OK, USA
Volume :
50
Issue :
4
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1240
Lastpage :
1253
Abstract :
This study presents a new identification and mitigation scheme of second trip contamination for pulsed Doppler polarimetric weather radars with the ability of random phase coding. This scheme can be easily implemented in a magnetron radar without any hardware changes. For relatively weak contamination, identification and mitigation are based on a multilag processing method, which uses multiple lags of both the auto- and cross-correlation functions to estimate radar moments. For relatively strong contamination, instantaneous phase variations of horizontal and vertical polarization channels are combined into a simple fuzzy-logic scheme to complete the identification. Data from the C-band OU-PRIME radar are used to demonstrate the effectiveness of the proposed scheme for identification and mitigation of second-trip echoes.
Keywords :
fuzzy logic; meteorological radar; radar cross-sections; radar polarimetry; radar signal processing; C-band OU-PRIME radar; auto-correlation functions; contamination; cross-correlation functions; fuzzy-logic scheme; horizontal polarization channels; instantaneous phase variations; magnetron radar; multilag processing method; pulsed Doppler polarimetric weather radars; radar moments; random phase coding; second-trip echo detection; second-trip echo mitigation; vertical polarization channels; Contamination; Estimation; Meteorological radar; Meteorology; Noise; Radar polarimetry; Phase coding; polarimetric measurements; weather radar;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2011.2164927
Filename :
6032738
Link To Document :
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