Study on calculation and verification of radiowave propagation using parabolic equation for the antenna near the ground

Yin, Chengyou; Zhu, J.; Wei, Qiao-Fei

doi:10.1109/piers.2016.7734748

2016 Progress in Electromagnetic Research Symposium (PIERS) 2016

DOI: 10.1109/piers.2016.7734748

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Study on calculation and verification of radiowave propagation using parabolic equation for the antenna near the ground

Chengyou Yin

J. Zhu

Qiao-Fei Wei

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2022

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Predicting Spatial Field Values Under Undulating Terrain With 2W-PE Based on Machine Learning

Yin

Zhang

2022

Antennas Wirel. Propag. Lett.

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A two-way parabolic equation (2W-PE) method based on machine learning is proposed to predict the spatial field strength of radio waves propagating over undulating terrain. The method first performs longitudinal domain decomposition on a step distance, and uses different algorithms to solve the 2W-PE in each subdomain. Then, a simple obstacle model (SOM) containing three stepping units of different heights is introduced.A variety of undulating terrains can be approximated using the overlay combinations and lateral extensions of multiple SOMs, and combined with machine learning method, the boundary condition coefficients in different environments can be determined. The simulation results show that the proposed 2W-PE method is in good agreement with the method of moments (MoM), which verifies its accuracy and superiority.

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Predicting Spatial Field Values Under Undulating Terrain With 2W-PE Based on Machine Learning

Yin

Zhang

2022

Antennas Wirel. Propag. Lett.

View full text Add to dashboard Cite

show abstract

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Study on calculation and verification of radiowave propagation using parabolic equation for the antenna near the ground

Cited by 1 publication

References 6 publications

Predicting Spatial Field Values Under Undulating Terrain With 2W-PE Based on Machine Learning

Predicting Spatial Field Values Under Undulating Terrain With 2W-PE Based on Machine Learning

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