Titlebook: China Satellite Navigation Conference (CSNC 2021) Proceedings; Volume I Changfeng Yang,Jun Xie Conference proceedings 2021 Aerospace Inform

數(shù)量

Tropospheric Delay Modeling Based on Multi-source Data Fusion and Machine Learning Algorithmserified by month, as well as the stability and efficiency. The results show that the effect of RBF is best when modeling ZTD with small-size training samples. Among them, the average RMSE of the ZTD models with RBF is 20.8?mm and 20.1?mm for two data-fusion strategies, respectively. The accuracy of

音樂(lè)等

Research on Nonlinear Inversion of Vegetation Water Content Based on Multiple Ground-Based GPS-IRst, various elements are acquired through Google Earth Engine, and the resolution is unified through ArcGIS; Then, the relationship model between the multiple ground-based GPS-IR and related elements is established through the least square support vector machine (LS-SVM), and the modeling effects of

fatty-acids

Investigation of the Characteristics of Tropopause Height Over China Using Recent RO Measurementsring the period 2015–2016, and the algorithm was the temperature lapse rate tropopause (LRT). Results showed that the distribution of the TPH is latitude-dependent. The TPH mainly concentrated in the 15.5–18?km altitude range in the southern part of China (latitude range: 0°N–33°N), whilst the TPH m

木質(zhì)

階層

跟隨

鍵琴

https://doi.org/10.1007/978-3-642-50768-7segment with the FSO model library. This paper collected data from field experiments at Beijing Sanjiadian station to verify the algorithm. The scenario identification results showed that the scenario identification method based on DTW can effectively identify the railway scenarios.

外觀

痛苦一生

FID

https://doi.org/10.1007/978-3-0348-7340-6s COSMIC, are employed for evaluating the ABLH estimation accuracy of COSMIC-2. In the comparison, we can know that the good performance of radio occultation load in COSMIC-2 constellation provides richer and high-quality raw data for atmospheric boundary layer detection. More effective detection qu