• DocumentCode
    714816
  • Title

    Remote sensing of ocean surface wind direction with shipborne high frequency surface wave radar

  • Author

    Minglei Sun ; Junhao Xie ; Zhenyuan Ji ; Wenhan Cai

  • Author_Institution
    Dept. of Electron. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Abstract
    Land-based high frequency surface wave radar (HFSWR) has been successfully employed for early warning and ocean remote sensing. However, there remain potential gaps for shipborne HFSWR in the application of ocean remote sensing. In this paper, the feasibility of extracting wind direction is studied based on the first-order ocean surface cross section in shipborne HFSWR. According to the spreading mechanism of the Bragg lines, a method of extracting wind direction without ambiguity is proposed. Furthermore, by use of a single receiving sensor rather than the receiving array, wind direction of the large sea area covered by radar can be obtained. Together with the simulation results, analyses of the concerning issues in an actual application verify the potential of the method proposed. Compared with the methods based on a huge receiving array in land-based HFSWR, it can provide higher transverse resolution and be more easily realized with less system cost.
  • Keywords
    atmospheric measuring apparatus; remote sensing by radar; wind; Bragg lines; first-order ocean surface cross section; land-based high frequency surface wave radar; ocean remote sensing; ocean surface wind direction; receiving array; receiving sensor; sea area; shipborne high frequency surface wave radar; spreading mechanism; system cost; transverse resolution; Clutter; Doppler effect; Radar; Remote sensing; Sea surface; Surface waves; Bragg lines; shipborne high frequency surface wave radar (HFSWR); spreading mechanism; wind direction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7130967
  • Filename
    7130967