dc.contributor.author |
Manamela, Selolo S
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|
dc.contributor.author |
Cilliers, Jacques E
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|
dc.contributor.author |
Gaffar, YA
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dc.date.accessioned |
2024-05-28T11:24:33Z |
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dc.date.available |
2024-05-28T11:24:33Z |
|
dc.date.issued |
2023-12 |
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dc.identifier.citation |
Manamela, S.S., Cilliers, J.E. & Gaffar, Y. 2023. Vegetation path loss modeling using a modified parabolic equation Toolbox. http://hdl.handle.net/10204/13678 . |
en_ZA |
dc.identifier.isbn |
979-8-3503-6969-4 |
|
dc.identifier.isbn |
979-8-3503-6970-0 |
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dc.identifier.uri |
DOI: 10.1109/ICECCE61019.2023.10442515
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|
dc.identifier.uri |
http://hdl.handle.net/10204/13678
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|
dc.description.abstract |
In this paper, the problem of modelling radio wave propagation through vegetation using parabolic equation methods is investigated by modifying the parabolic equation toolbox (PETOOL) to incorporate a mechanism to model vegetation. The vegetation was modeled as a lossy dielectric slab. The geometry of the problem was configured as a stratified three-layer homogeneous medium model (air, vegetation, and ground) with each layer modeled by its dielectric properties (permittivity and conductivity). The discrete mixed Fourier transform was used to propagate the radio wave through the lossy dielectric slab. To evaluate the model, a scenario with the both transmitter and receiver antennas located inside the vegetation canopy was configured as a simulation setup, and the results compared to the well known results by Tamir. The result of interest from the model was the propagation path loss of radio waves in the presence of vegetation. To assess agreement between the modified PETOOL and Tamir’s results, the root mean square error between the results was calculated. It was found that as the imaginary component of the complex refractive index approaches zero, the solution to the discrete mixed Fourier transform, for which the propagation calculation is based, becomes unstable leading to failed agreement with Tamir’s results. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/10442515 |
en_US |
dc.source |
Proceedings of the 4th International Conference on Electrical, Communication and Computer Engineering (ICECCE), Dubai, UAE, 30-31 December 2023 |
en_US |
dc.subject |
Radio wave propagation |
en_US |
dc.subject |
Propagation mechanisms |
en_US |
dc.subject |
Vegetation |
en_US |
dc.subject |
Parabolic equation method |
en_US |
dc.subject |
Dielectric slab model |
en_US |
dc.title |
Vegetation path loss modeling using a modified parabolic equation Toolbox |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
6 |
en_US |
dc.description.note |
© 2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10442515 |
en_US |
dc.description.cluster |
Defence and Security |
en_US |
dc.description.impactarea |
Radar and EW Systems |
en_US |
dc.identifier.apacitation |
Manamela, S. S., Cilliers, J. E., & Gaffar, Y. (2023). Vegetation path loss modeling using a modified parabolic equation Toolbox. http://hdl.handle.net/10204/13678 |
en_ZA |
dc.identifier.chicagocitation |
Manamela, Selolo S, Jacques E Cilliers, and YA Gaffar. "Vegetation path loss modeling using a modified parabolic equation Toolbox." <i>Proceedings of the 4th International Conference on Electrical, Communication and Computer Engineering (ICECCE), Dubai, UAE, 30-31 December 2023</i> (2023): http://hdl.handle.net/10204/13678 |
en_ZA |
dc.identifier.vancouvercitation |
Manamela SS, Cilliers JE, Gaffar Y, Vegetation path loss modeling using a modified parabolic equation Toolbox; 2023. http://hdl.handle.net/10204/13678 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Manamela, Selolo S
AU - Cilliers, Jacques E
AU - Gaffar, YA
AB - In this paper, the problem of modelling radio wave propagation through vegetation using parabolic equation methods is investigated by modifying the parabolic equation toolbox (PETOOL) to incorporate a mechanism to model vegetation. The vegetation was modeled as a lossy dielectric slab. The geometry of the problem was configured as a stratified three-layer homogeneous medium model (air, vegetation, and ground) with each layer modeled by its dielectric properties (permittivity and conductivity). The discrete mixed Fourier transform was used to propagate the radio wave through the lossy dielectric slab. To evaluate the model, a scenario with the both transmitter and receiver antennas located inside the vegetation canopy was configured as a simulation setup, and the results compared to the well known results by Tamir. The result of interest from the model was the propagation path loss of radio waves in the presence of vegetation. To assess agreement between the modified PETOOL and Tamir’s results, the root mean square error between the results was calculated. It was found that as the imaginary component of the complex refractive index approaches zero, the solution to the discrete mixed Fourier transform, for which the propagation calculation is based, becomes unstable leading to failed agreement with Tamir’s results.
DA - 2023-12
DB - ResearchSpace
DP - CSIR
J1 - Proceedings of the 4th International Conference on Electrical, Communication and Computer Engineering (ICECCE), Dubai, UAE, 30-31 December 2023
KW - Radio wave propagation
KW - Propagation mechanisms
KW - Vegetation
KW - Parabolic equation method
KW - Dielectric slab model
LK - https://researchspace.csir.co.za
PY - 2023
SM - 979-8-3503-6969-4
SM - 979-8-3503-6970-0
T1 - Vegetation path loss modeling using a modified parabolic equation Toolbox
TI - Vegetation path loss modeling using a modified parabolic equation Toolbox
UR - http://hdl.handle.net/10204/13678
ER -
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en_ZA |
dc.identifier.worklist |
27665 |
en_US |