• 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