A Short-Term Forecast Method of Maximum Usable Frequency for HF Communication

Wang, Jian; Shi, Yafei; Yang, Cheng; Zhang, Zhigang; Zhao, Lin

doi:10.1109/tap.2023.3266584

Cited by 11 publications

(5 citation statements)

References 42 publications

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“…Methods for short-term prediction of ionospheric parameters include neural network methods [12,13], machine learning methods [14,15], empirical orthogonal function analysis [16], etc. Wang et al [17] used the Volterra filter method to forecast M3000F2 and performed regional reconstruction to achieve accurate MUF forecasting due to the ITU model.…”

Section: Introductionmentioning

confidence: 99%

A Short-Term Forecasting Method for High-Frequency Broadcast MUF Based on LSTM

Ji,

He,

et al. 2024

Atmosphere

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This paper proposes a short-term forecasting method for high-frequency broadcast Maximum Usable Frequency (MUF) based on Long Short-Term Memory (LSTM) to meet the demand for refined and precise high-frequency broadcast coverage. Based on the existing infrastructure of broadcast and television stations, we established an experimental verification system to collect data for approximately three years. Two links were selected based on data quality: Urumqi to Lhasa and Lanzhou to Lhasa. A short-term forecast of MUF was conducted using the data from these two links. Comparison and analysis were conducted between the forecasting results of our model and those of the REC533 model. Our proposed method outperforms the REC533 forecasting results overall, with a reduction in root mean square error (RMSE) of 0.66 MHz and an improvement in forecast accuracy of 14.77%. The comparison result demonstrates the feasibility and accuracy of our model.

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Section: Introductionmentioning

confidence: 99%

A Short-Term Forecasting Method for High-Frequency Broadcast MUF Based on LSTM

Ji,

He,

et al. 2024

Atmosphere

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“…For instance, the Global Navigation Satellite System has gained extensive use worldwide through shortwave positioning and communication, particularly in military applications [1]. Because HF communication has the advantages of flexible networking, strong destruction resistance, and high mobility, which can effectively avoid high cost and geographical environment restrictions [2], it is an important research direction [3]. The ionosphere, a variable medium affecting HF communication [4], exhibits time-varying dispersion characteristics.…”

Section: Introductionmentioning

confidence: 99%

A New Determining Method for Ionospheric F2-Region Peak Electron Density Height

Wang,

Yu,

Shi

et al. 2024

Remote Sensing

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The height of the F2 peak electron density (hmF2) is an essential parameter in studying ionospheric electrodynamics and high-frequency wireless communication. Based on ionosphere ray propagation theory, the physical relationship between M3000F2 and hmF2 is derived and visualized. Furthermore, based on the above physical theory and the machine learning method, this paper proposes a new model for determining hmF2 using propagation factor at a distance of 3000 km from the ionospheric F2 layer, time, and season. This proposed model is easy to understand and has the characteristics of clear principles, simple structure, and easy application. Furthermore, we used six stations in east Asia to verify this model and compare it with the other three models of the International Reference Ionosphere (IRI) model. The results show that the proposed model (PRO) has minor error and higher accuracy. Specifically the RMSE of the BSE, AMTB, SHU, and the PRO models were 20.35 km, 31.51 km, 13.59 km, and 5.68 km, respectively, and the RRMSE of the BSE, AMTB, SHU, and PRO models were 8.17%, 11.88%, 4.96%, and 2.12%, respectively. In addition, the experimental results show that the PRO model can better predict the trend of the hmF2 inflection point. This method can be further extended to add data sources and provide new ideas for studying the hmF2 over global regions.

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“…The ionosphere is a time-varying dispersion channel, which varies with seasons, day and night, and regions and is affected by space environments such as solar activity and geomagnetic fields. High-frequency communications are affected by the ionosphere [2,3]. The ionospheric plasma structure on a wide range of space and time scales can have a destructive impact on space application systems (such as navigation and communication systems operated by Global Navigation Satellite Systems (GNSS)) [4], and its spatiotemporal dynamic changes lead to fluctuations in communication channels, which directly affect the reliability and stability of ionospheric communication, this is also the reason why the ionosphere and its communication research has become a research hotspot in the past hundred years [5].…”

Section: Introductionmentioning

confidence: 99%

A Reconstruction Method for Ionospheric foF2 Spatial Mapping over Australia

Liu,

Yu,

Shi

et al. 2023

Atmosphere

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To improve the accuracy of predicting the ionospheric critical frequency of the F2 layer (foF2), a reconstruction method for the spatial map of the ionospheric foF2 based on modified geomagnetic dip coordinates is proposed. Based on the strong correlation between the ionospheric foF2 and geomagnetic coordinates, the variation function of ionospheric distance is built. In the end, the spatial map of the ionospheric foF2 is predicted by solving the Kriging equation. The results show that the regional characteristics of the ionospheric foF2 analyzed by the proposed method are consistent with the observations. Compared with the reconstructed value of foF2 using traditional geographic coordinates, the root-mean-square error (RMSE) in high solar activity years decreased by 0.43 MHz, and the relative RMSE decreased by 5.48%; The RMSE decreased by 0.35 MHz during low solar activity which is 5.99% lower to relative RMSE. The research results provide support for high-frequency communication frequency selection.

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A Short-Term Forecast Method of Maximum Usable Frequency for HF Communication

Cited by 11 publications

References 42 publications

A Short-Term Forecasting Method for High-Frequency Broadcast MUF Based on LSTM

A Short-Term Forecasting Method for High-Frequency Broadcast MUF Based on LSTM

A New Determining Method for Ionospheric F2-Region Peak Electron Density Height

A Reconstruction Method for Ionospheric foF2 Spatial Mapping over Australia

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