GNSS-R潮位监测抗差估计

doi:10.11947/j.AGCS.2023.20210540

摘要/Abstract

摘要： 针对GNSS-R反演潮位过程中，由测站天线相位中心与潮位基准面高度的不确定性造成的误差，本文提出了基于抗差估计的优化方法。通过确定观测值的最优权重，削弱水面高度粗差反演值，求解高精度测站高度，进而提高GNSS-R反演潮位的精度。基于HNLC、SC02、TDAM、TPW2这4个IGS GNSS连续运行跟踪站的数据，进行潮位反演试验，结果表明，与传统反演方法相比，本文方法计算所得测站高度分别提升了1.01、1.31、16.2、1.22 cm，反演潮位的均方根误差分别降低了26.7%、34.4%、84%、31.6%。同时，还证明了本文方法求解出的自潮位基准面起算的测站高度，可应用于后续无验潮站或验潮站数据中断情况下潮位的反演。

关键词: 全球导航卫星系统反射技术, 信噪比, 抗差估计, 精准测站高

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

中图分类号:

P228.4

王泽明, 李浩军, 孙亚峰. GNSS-R潮位监测抗差估计[J]. 测绘学报, 2023, 52(2): 195-205.

WANG Zeming, LI Haojun, SUN Yafeng. Robust estimation of GNSS-R tide level monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(2): 195-205.

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