Acta Geodaetica et Cartographica Sinica ›› 2023, Vol. 52 ›› Issue (2): 195-205.doi: 10.11947/j.AGCS.2023.20210540

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Robust estimation of GNSS-R tide level monitoring

WANG Zeming1, LI Haojun1, SUN Yafeng2   

  1. 1. College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China;
    2. Shanghai Urban Construction Design& Research Institute, Shanghai 200125, China
  • Received:2021-09-27 Revised:2022-10-17 Published:2023-03-07
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41974025;42174019);The Fundamental Research Funds for the Central Universities

Abstract: Aiming at the error caused by the uncertainty of the height of the antenna phase center of the station and the tidal level during the tide level retrieval by GNSS-R, an optimization algorithm based on robust estimation is proposed. By determining the optimal weight of the observation value, the gross inversion value of the water surface height is weakened, and the high-precision station height is solved, thereby improving the accuracy of GNSS-R tide level inversion. The tide level inversion experiments based on the data of the four IGS GNSS continuously operating tracking stations HNLC, SC02, TDAM, and TPW2 show that the station height calculated by this method is optimized by 1.01 cm, 1.31 cm, 16.2 cm, and 1.22 cm respectively compared with the traditional inversion method. The root mean square error of the inverted tide level is reduced by 26.7%, 34.4%, 84%, and 31.6%, respectively. At the same time, this paper also proves that the station height calculated from the tidal level base level obtained by this method can be applied to the subsequent tide level inversion without the tide gauge station or the tide gauge station data interruption.

Key words: GNSS-R, SNR, robust estimation, precise station height

CLC Number: