The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion

Parabolic equations (PE) are commonly employed for calculating the spatial propagation loss of wireless signals. The initial field is a crucial factor. To investigate the impact of construction accuracy on the calculation of radio wave propagation loss, we selected the half-wave dipole antenna and i...

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Main Authors: Run-Sheng Cheng, Cheng-Guo Liu, Li-Feng Cao, Tong Xiao, Guang-Pu Tang, Li-Feng Huang, Hong-Guang Wang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/15/1/46
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author Run-Sheng Cheng
Cheng-Guo Liu
Li-Feng Cao
Tong Xiao
Guang-Pu Tang
Li-Feng Huang
Hong-Guang Wang
author_facet Run-Sheng Cheng
Cheng-Guo Liu
Li-Feng Cao
Tong Xiao
Guang-Pu Tang
Li-Feng Huang
Hong-Guang Wang
author_sort Run-Sheng Cheng
collection DOAJ
description Parabolic equations (PE) are commonly employed for calculating the spatial propagation loss of wireless signals. The initial field is a crucial factor. To investigate the impact of construction accuracy on the calculation of radio wave propagation loss, we selected the half-wave dipole antenna and its Gaussian approximation to examine the influence of wide-angle PE modeling. We analyzed the disparities between the actual antenna pattern and the Gaussian beam approximation, as well as the discrepancies in the corresponding initial field and the calculation of radio wave propagation loss in PE modeling. The simulation results indicate that the error of the Gaussian approximation increases as the angle of departure from the antenna main beam increases, with a relative error of approximately 30% in the initial field. A comparison between the experimental test of the broadcast signal and the simulation calculation reveals that the model based on the actual antenna aligns more closely with the measured value on a flat underlying surface. However, in mountainous areas with significant fluctuations, the simulation results are consistent with each other and higher than the measured value. The inversion results obtained through the particle swarm optimization algorithm demonstrate that the model based on the actual antenna exhibits superior inversion accuracy for the tropospheric atmospheric duct structure.
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spelling doaj.art-4aa7f30bb11147e9a42c2efd69b154072024-01-26T15:01:49ZengMDPI AGAtmosphere2073-44332023-12-011514610.3390/atmos15010046The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct InversionRun-Sheng Cheng0Cheng-Guo Liu1Li-Feng Cao2Tong Xiao3Guang-Pu Tang4Li-Feng Huang5Hong-Guang Wang6Hubei Engineering Research Center of RF-Microwave Technology and Application, Wuhan 430070, ChinaHubei Engineering Research Center of RF-Microwave Technology and Application, Wuhan 430070, ChinaHubei Engineering Research Center of RF-Microwave Technology and Application, Wuhan 430070, ChinaHubei Engineering Research Center of RF-Microwave Technology and Application, Wuhan 430070, ChinaHubei Engineering Research Center of RF-Microwave Technology and Application, Wuhan 430070, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaChina Institute of Radio Wave Propagation, Qingdao 266000, ChinaParabolic equations (PE) are commonly employed for calculating the spatial propagation loss of wireless signals. The initial field is a crucial factor. To investigate the impact of construction accuracy on the calculation of radio wave propagation loss, we selected the half-wave dipole antenna and its Gaussian approximation to examine the influence of wide-angle PE modeling. We analyzed the disparities between the actual antenna pattern and the Gaussian beam approximation, as well as the discrepancies in the corresponding initial field and the calculation of radio wave propagation loss in PE modeling. The simulation results indicate that the error of the Gaussian approximation increases as the angle of departure from the antenna main beam increases, with a relative error of approximately 30% in the initial field. A comparison between the experimental test of the broadcast signal and the simulation calculation reveals that the model based on the actual antenna aligns more closely with the measured value on a flat underlying surface. However, in mountainous areas with significant fluctuations, the simulation results are consistent with each other and higher than the measured value. The inversion results obtained through the particle swarm optimization algorithm demonstrate that the model based on the actual antenna exhibits superior inversion accuracy for the tropospheric atmospheric duct structure.https://www.mdpi.com/2073-4433/15/1/46radio wave propagationparabolic equationthe initial fieldbroadcast signaltropospheric duct inversion
spellingShingle Run-Sheng Cheng
Cheng-Guo Liu
Li-Feng Cao
Tong Xiao
Guang-Pu Tang
Li-Feng Huang
Hong-Guang Wang
The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion
Atmosphere
radio wave propagation
parabolic equation
the initial field
broadcast signal
tropospheric duct inversion
title The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion
title_full The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion
title_fullStr The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion
title_full_unstemmed The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion
title_short The Influence of PE Initial Field Construction Method on Radio Wave Propagation Loss and Tropospheric Duct Inversion
title_sort influence of pe initial field construction method on radio wave propagation loss and tropospheric duct inversion
topic radio wave propagation
parabolic equation
the initial field
broadcast signal
tropospheric duct inversion
url https://www.mdpi.com/2073-4433/15/1/46
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