Real-Time Duct Prediction and Propagation Analysis Using Genetic Algorithm-Based RFC and Parabolic Equation Method

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.

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Publication Details

Journal
IEEE Access
Published
2024-12-26
DOI
https://doi.org/10.1109/access.2024.3522376
Citations
2
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.42
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Real-Time Duct Prediction and Propagation Analysis Using Genetic Algorithm-Based RFC and Parabolic Equation Method

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IEEE Access
Power Line Communications and Noise
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article

Real-Time Duct Prediction and Propagation Analysis Using Genetic Algorithm-Based RFC and Parabolic Equation Method

Dong-Yeop Na, Jun Heo, Hosung Choo, Doyoung Jang, Yong Bae Park
article en
2 citations

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.

IEEE AccessVol. 13
Pohang University of Science and Technology (KR), Hanwha Solutions (South Korea) (KR), Ajou University (KR), Hongik University (KR)
Openalex Percentile: Top 36%
Power Line Communications and Noise
0.42
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