GNSS World of China

Volume 46 Issue 6
Dec.  2021
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TAN Chengdan, LUO Ruidan, LI Yafeng, YUAN Chao, YANG Guang, TIAN Xiangwei. A fast spaceborne GNSS-R sea surface wind speed retrieval method based on observation correction[J]. GNSS World of China, 2021, 46(6): 90-97. doi: 10.12265/j.gnss.2021071402
Citation: TAN Chengdan, LUO Ruidan, LI Yafeng, YUAN Chao, YANG Guang, TIAN Xiangwei. A fast spaceborne GNSS-R sea surface wind speed retrieval method based on observation correction[J]. GNSS World of China, 2021, 46(6): 90-97. doi: 10.12265/j.gnss.2021071402
shu

A fast spaceborne GNSS-R sea surface wind speed retrieval method based on observation correction

doi: 10.12265/j.gnss.2021071402
  • 1.

    Aerospace Information Research Institute, University of Chinese Academy of Sciences, Beijing 100094, China

  • 2.

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

  • 3.

    School of Automation, Beijing Information Science and Technology University, Beijing 100192, China

  • Received Date: 2021-07-14
  • Accepted Date: 2021-07-14
    • Available Online: 2021-12-29
    Abstract
  • The fast-delivery inversion (FDI) algorithm is a typical spaceborne Global Navigation Satellite system Reflectometry (GNSS-R) sea surface wind speed inversion method, which has the characteristics of low computational complexity and fast processing. However, the retrieval observation extraction accuracy in FDI algorithm is low, which leads to low wind speed retrieval accuracy. In view of this, an improved FDI algorithm based on observation correction is proposed to realize the fast and high-precision retrieval of sea surface wind speed. In this method, firstly, the auxiliary measurement information is used to correct the observation to reduce the influence of interference factors, then the sea surface wind speed value is extracted from the ASCAT satellite wind speed data based on the statistical analysis method, and finally the geophysical model function (GMF) relationship between the sea surface wind speed and the corrected observation is established to realize the retrieval of sea surface wind speed. Compared with the traditional FDI algorithm, the wind speed retrieval bias of this method is smaller, and the root-mean-square error (RMSE) is reduced by 29%.

     

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