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Real-Time Duct Prediction and Propagation Analysis Using Genetic Algorithm-Based RFC and Parabolic Equation Methodoa mark
  • Heo, Jun ;
  • Jang, Doyoung ;
  • Choo, Hosung ;
  • Na, Dong Yeop ;
  • Bae Park, Yong
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Publication Year
2025-01-01
Journal
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Access, Vol.13, pp.471-479
Keyword
Duct predictiongenetic algorithmparabolic equation methodpropagation analysisrefractivity from clutter
Mesh Keyword
Atmospheric measurementAtmospheric propagationAtmospheric refractivityDuct predictionElectromagneticsParabolic equation methodPropagation analysisReal- timeReal-time predictionRefractivity from clutters
All Science Classification Codes (ASJC)
Computer Science (all)Materials Science (all)Engineering (all)
Abstract
This paper proposes a real-time prediction of the duct using a refractivity from clutter (RFC) method based on genetic algorithm (GA) and the parabolic equation (PE) method. Three dates with duct formation are selected, and the refractivity calculated using atmospheric measurements is compared with the refractivity obtained through the GA-based RFC method. Additionally, using the PE method, the electromagnetic wave propagation for each refractivity is analyzed and compared. The atmospheric refractivity and propagation prediction results derived from the proposed process are validated to be similar to those of the measurements. The proposed method enables real-time duct prediction and propagation trend analysis at low altitudes using clutter signals.
ISSN
2169-3536
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38407
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85213985022&origin=inward
DOI
https://doi.org/10.1109/access.2024.3522376
Journal URL
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639
Type
Article
Funding
This work was supported in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP), Korean Government (MSIT), Development of 3D-NET Core Technology for High-Mobility Vehicular Service under Grant 2022-0-00704-001; and in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP), Korean Government (MSIT) under Grant RS-2024-00396992.
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Park, Yong Bae박용배
Department of Electrical and Computer Engineering
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