Predictions of HF communication MUF in the region of the South China Sea

Author

Wen, Zeng ; Xun-Jie, Zhang

Author_Institution

Inst. of Phys. & Math., Acad. Sinica, Wuhan, China

Volume

41

Issue

4

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

35

Lastpage

38

Abstract

In this paper, an artificial-neural-network (ANN) method is employed to predict the HF-communication MUF (maximum useable frequency) in the region of the South China Sea. Historical observation data of f ₀F₂ from six ionospheric observatories around the South China Sea are used to train the network. The comparison of ANN predictions and International Reference Ionosphere (IRI) models with the observations shows that the ANN predictions are closer to the observed results than are the IRI predictions

Keywords

F-region; HF radio propagation; ionospheric electromagnetic wave propagation; marine communication; neural nets; telecommunication computing; ANN predictions; HF communication MUF; IRI models; International Reference Ionosphere models; South China Sea; artificial-neural-network; f₀F₂; historical observation data; maximum useable frequency; Artificial neural networks; Communication channels; Frequency; Intelligent networks; Mathematics; Neurons; Observatories; Physics; Predictive models; Underwater communication;

fLanguage

English

Journal_Title

Antennas and Propagation Magazine, IEEE

Publisher

ieee

ISSN

1045-9243

Type

jour

DOI

10.1109/74.789735

Filename

789735