A Near-real-time Forecasting Model of High-frequency Radiowave Propagation Factor Fusion the ICEEMDAN Decomposition and Bi-LSTM Methods
IEEE Transactions on Antennas and Propagation(2024)
Key words
Predictive models,Forecasting,Data models,Ionosphere,Time series analysis,Prediction algorithms,Accuracy,Bi-directional long short-term memory (Bi-LSTM),high-frequency (HF) communication,improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN),ionospheric propagation factor at 3000 km in the F2 layer,near-real-time forecasting
AI Read Science
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined