Citation Export
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Doyoung | - |
dc.contributor.author | Kim, Jongmann | - |
dc.contributor.author | Park, Yong Bae | - |
dc.contributor.author | Choo, Hosung | - |
dc.date.issued | 2022-01-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36834 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139149532&origin=inward | - |
dc.description.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. | - |
dc.description.sponsorship | ACKNOWLEDGMENT This work has been supported by Agency for Defense Development(ADD) of Republic of Korea under Project No. UD210013YD. | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject.mesh | Atmospheric refractivity | - |
dc.subject.mesh | Condition | - |
dc.subject.mesh | Ducting | - |
dc.subject.mesh | Estimation methods | - |
dc.subject.mesh | Power | - |
dc.subject.mesh | Power-spectra | - |
dc.subject.mesh | Sea clutters | - |
dc.subject.mesh | Trilinear model | - |
dc.title | Study of an Atmospheric Refractivity Estimation Using AREPS and Genetic Algorithm | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2022.8.29. ~ 2022.8.31. | - |
dc.citation.conferenceName | 2022 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2022 | - |
dc.citation.edition | RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology | - |
dc.citation.endPage | 111 | - |
dc.citation.startPage | 110 | - |
dc.citation.title | RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology | - |
dc.identifier.bibliographicCitation | RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology, pp.110-111 | - |
dc.identifier.doi | 10.1109/rfit54256.2022.9882467 | - |
dc.identifier.scopusid | 2-s2.0-85139149532 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9882303 | - |
dc.subject.keyword | estimation methods | - |
dc.subject.keyword | genetic algorithm | - |
dc.subject.keyword | wave propagation | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Computer Networks and Communications | - |
dc.subject.subarea | Hardware and Architecture | - |
dc.subject.subarea | Signal Processing | - |
dc.subject.subarea | Electrical and Electronic Engineering | - |
dc.subject.subarea | Instrumentation | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.