• DocumentCode
    143904
  • Title

    Ocean surface target detection and positioning using the spaceborne GNSS-R Delay-Doppler maps

  • Author

    Wenxing Ji ; Chundi Xiu ; Weiqiang Li ; Lijun Wang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3806
  • Lastpage
    3809
  • Abstract
    A number of applications have been proposed by using the technique of global navigation satellite system reflectometry (GNSS-R) such as ice monitoring and sea surface wind retrieval. Using GNSS-R for target detection has also been raised for its advantages of all-weather capabilities, worldwide coverage and the ability of counter the attack of anti-radiation missiles (ARM). In this work, ocean surface target detection and positioning by this technique is discussed. The analysis mainly focuses on two aspects: 1) the detecting principle and the ability of this approach, and 2) the target positioning method based on the corresponding relation between Delay-Doppler points and the spatial points of the observing area. The positioning ambiguity is also taken into account. The performance of the proposed detection and positioning methods are evaluated by some simulations in a realistic scenario.
  • Keywords
    object detection; oceanographic techniques; satellite navigation; sea ice; wind; GLASS-R; all-weather capabilities; anti-radiation missile attack; delay-Doppler points; global navigation satellite system reflectometry; ice monitoring; ocean surface target detection; ocean surface target positioning; positioning ambiguity; sea surface wind retrieval; spaceborne GNSS-R delay-Doppler maps; spatial points; target positioning method; worldwide coverage; Clutter; Global Positioning System; Object detection; Scattering; Sea surface; Delay-Doppler Maps (DDM); global navigation satellite system reflectometry (GNSS-R); target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947313
  • Filename
    6947313