Journal of Marine Sciences >

2022 , Vol. 40 >Issue 1: 72

DOI: https://doi.org/10.3969/j.issn.1001-909X.2022.01.008

Multi-system fusion GNSS-MR tide level inversion based on LS-SVM

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Online published: 2022-03-15

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Abstract

Aiming at the problem of low inversion accuracy and time resolution in single-system GNSS-MR tide level monitoring, a multi-system fusion tide level inversion method based on LS-SVM was proposed. Using GPS, BDS, Galileo and GLONASS satellite data from Hong Kong's HKQT station for 30 consecutive days, experiments were conducted to compare three multi-system fusion methods based on sliding window least square, SVR, and LS-SVM. The results show that compared with the BDS system with the smallest RMSE for single-system GNSS-MR tide level inversion, the RMSE value of multi-system fusion tide level inversion based on LS-SVM reduced by 55.8% and the correlation coefficient increased by 4.1%. Compared with the GLONASS system with the highest time resolution, the time resolution increased by 59.3%; Compared with the multi-system fusion tide level inversion based on the SVR model, the RMSE value reduced by 52.3%, and the correlation coefficient increased by 2.2%; Compared with the multi-system fusion tide level inversion of the sliding window least square method, the RMSE value reduced by 41.1%, and the correlation coefficient is increased by 1.2%. Multi-system fusion tide level inversion based on LS-SVM has better tide level inversion performance than that of sliding window least square method and SVR algorithm.

Key words： sea level; GNSS-MR; GNSS; multipath; machine learning

Cite this article

YOU Gaochong, GUO Hang, LUO Xiaowen, et al . Multi-system fusion GNSS-MR tide level inversion based on LS-SVM[J]. Journal of Marine Sciences, 2022 , 40(1) : 72 . DOI: 10.3969/j.issn.1001-909X.2022.01.008

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