自适应测站高的GNSS-R潮位监测研究

GNSS-R tide level monitoring based on adaptive station height

针对已有的GNSS-R反演潮位过程中由测站与潮位基准面高度的不确定性带来的误差,该文提出了一种自适应测站高优化方法。该方法通过更新Lomb-Scargle谱分析噪声频率的阈值,可有效剔除噪声主频,从而提高GNSS-R反演潮位的精度。基于30 s采样间隔的GNSS的L2波段数据进行潮位反演的实验表明,该文提出的方法有效提高了GNSS-R反演潮位的精度。与传统反演方法相比,反演潮位与验潮站观测潮位之间的均方根误差降低了28.3%,相关系数提升了12.3%。同时,该文还证实了所提出方法求解出的自验潮站基准面起算的测站高度,可进一步应用于无验潮站或验潮站数据中断情况下的GNSS潮位反演。

Aiming at the errors caused by the uncertainty of the height of the station and the reference level of the tide level in the existing global navigation satellite system-reflectometry(GNSS-R) inversion process, an adaptive station height optimization method was proposed. This method can effectively remove the dominant frequency of the noise by updating the threshold of the noise frequency of the Lomb-Scargle spectrum analysis, thereby improving the accuracy of GNSS-R inversion tide level. The experiments of tidal level inversion based on GNSS L2 band data with 30 s sampling interval showed that the proposed method effectively improved the accuracy of GNSS-R inversion tide level. Compared with the traditional inversion method, the root mean square error between the inversion tide level and the tide level observed by the tide gauge station was reduced by 28.3%,and the correlation coefficient was increased by 12.3%. At the same time, the paper also confirmed that the station height calculated from the base level of the tide test station calculated by the proposed method could be further applied to the GNSS tide level inversion without the data of the tide gauge station or the data interruption.