HF Frequency Short-Term Forecast Method Research in the Asia Oceania Region
Authors
Chao Li, Hanguang Jia, Huibin Hu, Yunjiang Liu, Xiangyang Ye
Corresponding Author
Chao Li
Available Online August 2018.
- DOI
- 10.2991/icitme-18.2018.40How to use a DOI?
- Keywords
- autocorrelation coefficient; artificial neural network; foF2
- Abstract
With analysis on ionosphere propagation features, and on the basis of ionospheric data in Sanya, Hainan, the self-correlation coefficient analysis method is applied to the ionospheric parameter prediction, then the method is compared with the artificial neural network prediction method. The prediction of the autocorrelation coefficients method is more close to the actual value, and more accurate scientific basis is provided for the HF frequency prediction.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chao Li AU - Hanguang Jia AU - Huibin Hu AU - Yunjiang Liu AU - Xiangyang Ye PY - 2018/08 DA - 2018/08 TI - HF Frequency Short-Term Forecast Method Research in the Asia Oceania Region BT - Proceedings of the 2018 International Conference on Information Technology and Management Engineering (ICITME 2018) PB - Atlantis Press SP - 201 EP - 203 SN - 1951-6851 UR - https://doi.org/10.2991/icitme-18.2018.40 DO - 10.2991/icitme-18.2018.40 ID - Li2018/08 ER -