DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이경민 | - |
dc.contributor.author | 최인오 | - |
dc.contributor.author | 김민 | - |
dc.contributor.author | 박정기 | - |
dc.contributor.author | 곽현규 | - |
dc.contributor.author | KIM, KYUNG TAE | - |
dc.date.accessioned | 2022-03-07T04:20:14Z | - |
dc.date.available | 2022-03-07T04:20:14Z | - |
dc.date.created | 2022-02-24 | - |
dc.date.issued | 2019-11 | - |
dc.identifier.issn | 1226-3133 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/110641 | - |
dc.description.abstract | In this paper, we propose a new framework of target classification for a passive coherent location(PCL) radar network. The framework uses radar cross sections(RCSs) obtained from multiple bistatic radars, and is computationally more efficient compared with the conventional method that uses time-varying RCSs obtained from a monostatic radar. Firstly, we construct the training set of the bistatic RCS distribution of each target using the scenario-based method and a PCL radar network with multiple transmitters and a receiver. Next, assuming that a test sequence consists of bistatic RCSs, we classify each target using statistical hypothesis test algorithms, such as Z-test, Wilcoxon test, and sign test. The proposed framework demonstrated better performance than the conventional method, in terms of computational efficiency. | - |
dc.language | Korean | - |
dc.publisher | 한국전자파학회 | - |
dc.relation.isPartOf | 한국전자파학회 논문지 | - |
dc.title | PCL 운용환경에서 통계적 가설 검정을 활용한 저피탐 표적 식별 | - |
dc.title.alternative | Classification of Low RCS Targets Based on PCL Radar Network Using Statistical Hypothesis Test | - |
dc.type | Article | - |
dc.identifier.doi | 10.5515/KJKIEES.2019.30.11.911 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | 한국전자파학회 논문지, v.30, no.11, pp.911 - 921 | - |
dc.identifier.kciid | ART002528627 | - |
dc.citation.endPage | 921 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 911 | - |
dc.citation.title | 한국전자파학회 논문지 | - |
dc.citation.volume | 30 | - |
dc.contributor.affiliatedAuthor | 이경민 | - |
dc.contributor.affiliatedAuthor | 최인오 | - |
dc.contributor.affiliatedAuthor | 김민 | - |
dc.contributor.affiliatedAuthor | 박정기 | - |
dc.contributor.affiliatedAuthor | KIM, KYUNG TAE | - |
dc.description.journalClass | 2 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | kci | - |
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