Abstract Aiming at the problem of signal separation and insufficient accuracy of traditional models, we propose a new GNSS-R sea level altimetry inversion model combining wavelet transform and an improved Burg algorithm. Compared with the traditional least squares fitting method, the SNR oscillation term obtained by wavelet transform is more complete and accurate. The improved Burg algorithm can effectively suppress peak shift or spectrum splitting, and improve the accuracy of spectrum analysis. We analyze the GNSS data and tide gauge data provided by the Onsala Space Observatory in Sweden. The results show that there is a high agreement between the inversion result of the optimized model and the measured data of tide gauge, and the accuracy is increased by about 20% compared with the traditional GNSS-IR sea level altimetry inversion model.
HU Yuan,YUAN Xintai,CHEN Xingyang et al. GNSS-IR Model of Sea Level Altimetry Inversion Combining Wavelet Transform with Improved Burg Algorithm[J]. jgg, 2022, 42(1): 21-24.
HU Yuan,YUAN Xintai,CHEN Xingyang et al. GNSS-IR Model of Sea Level Altimetry Inversion Combining Wavelet Transform with Improved Burg Algorithm[J]. jgg, 2022, 42(1): 21-24.
