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Study of an Atmospheric Refractivity Estimation Using AREPS and Genetic Algorithm
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dc.contributor.authorJang, Doyoung-
dc.contributor.authorKim, Jongmann-
dc.contributor.authorPark, Yong Bae-
dc.contributor.authorChoo, Hosung-
dc.date.issued2022-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36834-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139149532&origin=inward-
dc.description.abstractIn 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.-
dc.description.sponsorshipACKNOWLEDGMENT This work has been supported by Agency for Defense Development(ADD) of Republic of Korea under Project No. UD210013YD.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshAtmospheric refractivity-
dc.subject.meshCondition-
dc.subject.meshDucting-
dc.subject.meshEstimation methods-
dc.subject.meshPower-
dc.subject.meshPower-spectra-
dc.subject.meshSea clutters-
dc.subject.meshTrilinear model-
dc.titleStudy of an Atmospheric Refractivity Estimation Using AREPS and Genetic Algorithm-
dc.typeConference-
dc.citation.conferenceDate2022.8.29. ~ 2022.8.31.-
dc.citation.conferenceName2022 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2022-
dc.citation.editionRFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology-
dc.citation.endPage111-
dc.citation.startPage110-
dc.citation.titleRFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology-
dc.identifier.bibliographicCitationRFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology, pp.110-111-
dc.identifier.doi10.1109/rfit54256.2022.9882467-
dc.identifier.scopusid2-s2.0-85139149532-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9882303-
dc.subject.keywordestimation methods-
dc.subject.keywordgenetic algorithm-
dc.subject.keywordwave propagation-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaComputer Networks and Communications-
dc.subject.subareaHardware and Architecture-
dc.subject.subareaSignal Processing-
dc.subject.subareaElectrical and Electronic Engineering-
dc.subject.subareaInstrumentation-
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Department of Electrical and Computer Engineering
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