GNSS World of China

Volume 47 Issue 2
May  2022
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QIU Zhijin, HU Tong, ZOU Jing, LI Zhiqian, WANG Bo. Inversion of shipborne meteorological sensor height above water surface based on GNSS carrier-to-noise ratio[J]. GNSS World of China, 2022, 47(2): 1-6. doi: 10.12265/j.gnss.2021101301
Citation: QIU Zhijin, HU Tong, ZOU Jing, LI Zhiqian, WANG Bo. Inversion of shipborne meteorological sensor height above water surface based on GNSS carrier-to-noise ratio[J]. GNSS World of China, 2022, 47(2): 1-6. doi: 10.12265/j.gnss.2021101301
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Inversion of shipborne meteorological sensor height above water surface based on GNSS carrier-to-noise ratio

doi: 10.12265/j.gnss.2021101301
  • 1.

    Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266061, China

  • 2.

    Shandong Provincial Key Laboratory of Marine monitoring instrument equipment technology, Qingdao 266061, China

  • 3.

    National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266061, China

  • Received Date: 2021-10-13
    Available Online: 2022-04-14
    Abstract
  • The height of shipborne meteorological sensor above water surface is a necessary parameter to predict the atmospheric refractive index profile by using the bulk aerodynamical method, which is of great significance to the radio meteorological parameter monitoring systems such as evaporation duct monitoring system. The Global Navigation Satellite System (GNSS) carrier-to-noise ratio (CNR) is extracted from the shipborne GNSS receiver output. The coherence of GNSS direct signal and reflected signal from water surface is analyzed using Lomb Scargle Periodogram to retrieve the height of the GNSS antenna phase center above reflection surface, and then the height of shipborne meteorological sensor is calculated indirectly. The proposed method was verified by barge experiments. Based on the statistics of the effective inversions, the sea state influence on the inversion results as well as the time-averaged variation of the inversion results is analyzed. It shows that the height of shipborne meteorological sensor can be effectively retrieved.

     

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