Title :
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
fDate :
9/1/1999 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation Magazine, IEEE
