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Study of an Atmospheric Refractivity Estimation Using AREPS and Genetic Algorithm
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Publication Year
2022-01-01
Journal
RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology, pp.110-111
Keyword
estimation methodsgenetic algorithmwave propagation
Mesh Keyword
Atmospheric refractivityConditionDuctingEstimation methodsPowerPower-spectraSea cluttersTrilinear model
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsHardware and ArchitectureSignal ProcessingElectrical and Electronic EngineeringInstrumentation
Abstract
In this paper, we propose an estimation method of an atmospheric refractivity according to altitude. To estimate the atmospheric refractivity, an artificial trilinear model that can express the ducting conditions is applied to a genetic algorithm (GA) process. The calculated clutter power spectrum using the designed trilinear model is then compared with the calculated clutter power spectrum based on the measured atmospheric refractivity data. The result demonstrates that the atmospheric refractivity can be predicted using the proposed method from the sea clutter powers.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36834
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139149532&origin=inward
DOI
https://doi.org/10.1109/rfit54256.2022.9882467
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9882303
Type
Conference Paper
Funding
ACKNOWLEDGMENT This work has been supported by Agency for Defense Development(ADD) of Republic of Korea under Project No. UD210013YD.
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Park, Yong Bae Image
Park, Yong Bae박용배
Department of Electrical and Computer Engineering
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