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dc.contributor.author박승권-
dc.date.accessioned2019-11-29T04:55:12Z-
dc.date.available2019-11-29T04:55:12Z-
dc.date.issued2017-08-
dc.identifier.citationMICROWAVE AND OPTICAL TECHNOLOGY LETTERS, v. 59, no. 11, page. 2917-2922en_US
dc.identifier.issn0895-2477-
dc.identifier.issn1098-2760-
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/mop.30852-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/115151-
dc.description.abstractAn artificial neural network based diffraction model for hilly mountainous terrain is proposed. The proposed diffraction model is applied to predict the path in the case of non-line-of-sight. The input parameters of the proposed model are presented and their performance in the path loss prediction is compared with the results from traditional empirical diffraction models using measurement data taken in mountain areas.en_US
dc.language.isoen_USen_US
dc.publisherWILEYen_US
dc.subjectdiffraction lossen_US
dc.subjectmultiple edge diffractionen_US
dc.subjectneural networken_US
dc.subjectpath loss predictionen_US
dc.titleAn approach of the diffraction loss prediction using artificial neural network in hilly mountainous terrainen_US
dc.typeArticleen_US
dc.relation.noIssue 11-
dc.relation.volumeVolume 59-
dc.identifier.doi10.1002/mop.30852-
dc.relation.page2917-2922-
dc.relation.journalMICROWAVE AND OPTICAL TECHNOLOGY LETTERS-
dc.contributor.googleauthorLee, Changwon-
dc.contributor.googleauthorPark, Sungkwon-
dc.relation.code2017009973-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.pidsp2996-
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COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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