DocumentCode :
2268984
Title :
The atmospheric imaging radar: System validation and observations of severe weather
Author :
Isom, Brad ; Palmer, Robert ; Kelle, Redmond ; Meier, John ; Bodine, David ; Year, Mark ; Cheong, Boon Leng ; Zhang, Yan ; Yu, Tian-You
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
fYear :
2012
fDate :
7-11 May 2012
Abstract :
Rapid updates are a highly desired feature in the field of mobile weather radars. Various techniques have been utilized to improve volume update times, including the use of agile and multi-beam radars. Imaging radars, similar in some respects to phased arrays, steer the radar beam in software, thus requiring no physical motion. In contrast to phased arrays, imaging radars gather data for an entire volume simultaneously within the field-of-view (FOV) of the radar, which is defined by the broad transmit beam. As a result, imaging radars provide update rates exceeding those of existing mobile radars, including phased arrays. The Atmospheric Radar Research Center (ARRC) at the University of Oklahoma (OU) is currently engaged in evaluating a mobile X-band imaging radar system by through observations of severe weather events.
Keywords :
meteorological radar; phased array radar; radar imaging; ARRC; Atmospheric Radar Research Center; FOV; University of Oklahoma; X-band imaging radar system; atmospheric imaging radar; broad transmit beam; field-of-view; mobile weather radars; multibeam radars; phased arrays; system observations; system validation; volume update times improvement; Array signal processing; Imaging; Meteorological radar; Meteorology; Radar antennas; Radar imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2012 IEEE
Conference_Location :
Atlanta, GA
ISSN :
1097-5659
Print_ISBN :
978-1-4673-0656-0
Type :
conf
DOI :
10.1109/RADAR.2012.6212225
Filename :
6212225
Link To Document :
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