Short-term satellite clock bias forecast based on complementary ensemble empirical mode decomposition and quadratic polynomial
Author:
Affiliation:
1. Department of Navigation Engineering, PLA Naval University of Engineering, Wuhan, People’s Republic of China
2. School of Electronic and Information Engineering, Jiujiang University, Jiangxi, People’s Republic of China
Funder
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00396265.2022.2025714
Reference24 articles.
1. The Short-Term Forecast of BeiDou Satellite Clock Bias Based on Wavelet Neural Network
2. Support vector regression to predict porosity and permeability: Effect of sample size
3. Permutation Entropy: A Natural Complexity Measure for Time Series
4. A Novel Preprocessing Method Based on Variational Mode Decomposition for Reservoir Characterization Using Support Vector Regression
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