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Estimation Technique of RCS using LSTM

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dc.contributor.authorPark, Geumbi-
dc.contributor.authorVasanth, Kumar C.-
dc.contributor.authorPark, Gyutae-
dc.contributor.authorKoh, J.-
dc.date.accessioned2023-01-03T08:02:02Z-
dc.date.available2023-01-03T08:02:02Z-
dc.date.issued2022-07-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/29886-
dc.description.abstractRCS measurement is a factor that helps design communication systems, antenna systems, and aircraft where scattering and reflection of electromagnetic waves are important. However, RCS measurements of time and cost are particularly related to large items such as aircraft and ships. Accordingly, this study provided a long-short-term memory (LSTM) strategy to solve the above difficulty and increase RCS measurement efficiency. RCS was evaluated using computer simulation, and after learning based on the observed data, RCS prediction data not measured within tolerance was calculated. The estimated data used RMSE to determine the error, and the estimated value indicates the result along the trend line of the observed value. © 2022 IEEE.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleEstimation Technique of RCS using LSTM-
dc.typeArticle-
dc.identifier.doi10.1109/AP-S/USNC-URSI47032.2022.9886280-
dc.identifier.scopusid2-s2.0-85139740307-
dc.identifier.bibliographicCitation2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, pp 695 - 696-
dc.citation.title2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings-
dc.citation.startPage695-
dc.citation.endPage696-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
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