Analysis and Modeling of Temporal Variation Properties for LF Ground-Wave Propagation Delay

In order to further improve the predictive accuracy of low-frequency (LF) ground-wave propagation delay, it is necessary to establish a proper model that can take complex temporal variation properties of propagation delay into account. In this letter, we first analyze the relationship between measur...

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Veröffentlicht in:	IEEE antennas and wireless propagation letters 2019-04, Vol.18 (4), p.641-645
Hauptverfasser:	Pu, Yu-Rong, Yang, Hong-Juan, Wang, Li-Li, Zhao, Yu-Chen, Luo, Rui, Xi, Xiao-Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation Backward propagation neural network (BPNN) Delay Ground wave propagation low-frequency (LF) ground wave Mathematical models Meteorological factors Meteorology Neural networks Predictive models Propagation Propagation delay Receivers Temperature Temperature measurement temporal variation properties
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