The refraction and apparent reflection of HF radio waves by the ionosphere enables long range HF radio communications. The ionosphere is a distinctly irregular medium that is mostly driven by solar activity. Ionospheric models are useful in the prediction of ionospheric behaviour and in the provision of data required for the analysis and forecasting of ionospheric propagation. This paper provides a compact review of HF radio propagation prediction techniques and approaches for HF communications. The paper also highlights the numerous approaches have been used to date in an attempt to estimate F2 usable frequencies. The review presented in this paper is inspired by the most recent advances in the field of ionospheric prediction and modelling.
| DOI | 10.11648/j.com.20180601.12 |
| Published in | Communications (Volume 6, Issue 1, March 2018) |
| Page(s) | 5-12 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
HF Communications, Propagation Prediction, Ionosphere, Usable Frequency, MUF
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APA Style
Courage Mudzingwa, Albert Chawanda. (2018). Radio Propagation Prediction for HF Communications. Communications, 6(1), 5-12. https://doi.org/10.11648/j.com.20180601.12
ACS Style
Courage Mudzingwa; Albert Chawanda. Radio Propagation Prediction for HF Communications. Communications. 2018, 6(1), 5-12. doi: 10.11648/j.com.20180601.12
AMA Style
Courage Mudzingwa, Albert Chawanda. Radio Propagation Prediction for HF Communications. Communications. 2018;6(1):5-12. doi: 10.11648/j.com.20180601.12
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Download@article{10.11648/j.com.20180601.12,
author = {Courage Mudzingwa and Albert Chawanda},
title = {Radio Propagation Prediction for HF Communications},
journal = {Communications},
volume = {6},
number = {1},
pages = {5-12},
doi = {10.11648/j.com.20180601.12},
url = {https://doi.org/10.11648/j.com.20180601.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20180601.12},
abstract = {The refraction and apparent reflection of HF radio waves by the ionosphere enables long range HF radio communications. The ionosphere is a distinctly irregular medium that is mostly driven by solar activity. Ionospheric models are useful in the prediction of ionospheric behaviour and in the provision of data required for the analysis and forecasting of ionospheric propagation. This paper provides a compact review of HF radio propagation prediction techniques and approaches for HF communications. The paper also highlights the numerous approaches have been used to date in an attempt to estimate F2 usable frequencies. The review presented in this paper is inspired by the most recent advances in the field of ionospheric prediction and modelling.},
year = {2018}
}
TY - JOUR T1 - Radio Propagation Prediction for HF Communications AU - Courage Mudzingwa AU - Albert Chawanda Y1 - 2018/02/27 PY - 2018 N1 - https://doi.org/10.11648/j.com.20180601.12 DO - 10.11648/j.com.20180601.12 T2 - Communications JF - Communications JO - Communications SP - 5 EP - 12 PB - Science Publishing Group SN - 2328-5923 UR - https://doi.org/10.11648/j.com.20180601.12 AB - The refraction and apparent reflection of HF radio waves by the ionosphere enables long range HF radio communications. The ionosphere is a distinctly irregular medium that is mostly driven by solar activity. Ionospheric models are useful in the prediction of ionospheric behaviour and in the provision of data required for the analysis and forecasting of ionospheric propagation. This paper provides a compact review of HF radio propagation prediction techniques and approaches for HF communications. The paper also highlights the numerous approaches have been used to date in an attempt to estimate F2 usable frequencies. The review presented in this paper is inspired by the most recent advances in the field of ionospheric prediction and modelling. VL - 6 IS - 1 ER -
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