Multi-satellite GNSS-MR snow depth inversion based on VMD algorithm
Aiming at the problem that separation purity of the current reflected signal is not high and extracting accurately the surface environment parameters in the reflected signal is difficult,a multi-star GNSS-MR snow depth inversion model with VMD algorithm is developed.The VMD algorithm can effectively separate the signal and improve the separation purity of the reflected signal,and it can be compared with the traditional second-or-der polynomial fitting method.The GPS satellite signal-to-noise ratio data of 172 days are downloaded for exper-iment from NWOT test station in Colorado.The experimental results show that the accuracy of the multi-satellite GNSS-MR inversion snow depth model integrated with the VMD algorithm is better than that of the second-order polynomial fitting model.The RMSE between the inversion value and the measured value is reduced by nearly 50％,also the coefficient of determination R2 is as high as 0.98.Therefore,the algorithm can effectively im-prove the inversion accuracy and reliability of snow depth to a certain extent.
万方数据
维普
