LF Radio Wave Prediction at Short Ranges With High Propagation Angles Over Irregular Terrain

Zhou, Lili; Wang, Dandan; Mu, Zhonglin; Xi, Xiaoli; He, Lifeng

doi:10.1109/lawp.2016.2601138

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…Radio wave is a type of electromagnetic radiation, and it has the longest wavelengths in the electromagnetic spectrum with the lowest frequencies. The nine different bands in the radio spectrum are the Extremely Low Frequency (ELF), Very Low Frequency (VLF), Low Frequency (LF), Medium Frequency (MF), High Frequency (HF), Very High Frequency (VHF), Ultra-High Frequency (UHF), Super High Frequency (SHF) and an Extremely High Frequency (EHF) [112], [113].…”

Section: Wireless/radiomentioning

confidence: 99%

Current and Future Communication Solutions for Smart Grids: A Review

et al. 2022

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A smart grid provides a bidirectional flow of electricity and information whilst ensuring wellbalanced electricity supply and demand. The key enabler for the smart grid is its robust communication infrastructure. Choosing the best communication technology for the smart grid is crucial as it involves a mixture of critical and non-critical traffic. This study provides a comprehensive review on smart grid communication and its possible solutions for a reliable two-way communication toward supporting diversified power grid applications. Existing networking methods along with their advantages and weaknesses are highlighted for future research directions. The communication network architecture in the smart grid, with details on each networking technology, switching methods and medium for data communication, is critically reviewed to identify the existing research gaps. A discussion on issues and challenges encountered in smart grid communication for current implementation is highlighted together with the recommendations for further improvement. Overall, the highlighted issues and recommendations from this study are useful to researchers, technology providers and industries to develop new communication technologies for the smart grid that will provide reliable, robust, and suitable two-way communication in the future.

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Section: Wireless/radiomentioning

confidence: 99%

Current and Future Communication Solutions for Smart Grids: A Review

et al. 2022

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“…In 2017, Pal et al qualitatively explained LF propagation anomalies by studying the effect of sudden stratospheric warming events in 2009 on LF signals in the Earth-Ionosphere Waveguide (EIWG) [14]. In the same year, Zhou et al combined the Finite-Difference Time-Domain (FDTD) method with the Parabolic Equation (PE) method to analyze the propagation characteristics of LF radio waves at short propagation distances with high propagation angles [15]. In 2019, Melchinov predicted relatively accurately the seasonal variation in LF radio waves on the radio propagation path of frozen soil [16].…”

Section: Introductionmentioning

confidence: 99%

An Improved Propagation Prediction Method of Low-Frequency Skywave Fusing Fine Channel Parameters

Wang,

Duan,

Chen

et al. 2024

Remote Sensing

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Low-frequency communication constitutes a vital component of essential communication systems, serving a pivotal role in remote radio communication, navigation, timing, and seismic analysis. To enhance the predictive precision of low-frequency skywave propagation and address the demands of engineering applications, we propose a high-precision prediction method based on the ITU-R P.684 wave-hop theory and real-time environmental parameter forecasts. This method features several distinctive attributes. Firstly, it employs real-time ionospheric prediction data instead of relying on long-term ionospheric model predictions. Secondly, it utilizes a detailed map of land–sea surface electrical characteristics, surpassing the simplistic land–sea dichotomy previously employed. Compared with measured data, the findings demonstrate that we attained a reasonable propagation pattern and achieved high-precision field strength predictions. Comparatively, the improved method exhibits an improvement in the time and spatial domains over the ITU-R P.684 standard. Finally, the improved method balances computational efficiency with enhanced prediction accuracy, supporting the advancement of low-frequency communication system design and performance evaluation.

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Finite-Difference Solution of the Parabolic Equation Under Horizontal Polar Coordinates

Zhang

Abomakhleb

2017

Antennas Wirel. Propag. Lett.

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LF Radio Wave Prediction at Short Ranges With High Propagation Angles Over Irregular Terrain

Cited by 7 publications

References 19 publications

Current and Future Communication Solutions for Smart Grids: A Review

Current and Future Communication Solutions for Smart Grids: A Review

An Improved Propagation Prediction Method of Low-Frequency Skywave Fusing Fine Channel Parameters

Finite-Difference Solution of the Parabolic Equation Under Horizontal Polar Coordinates

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