DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, JH | - |
dc.contributor.author | Choi, IS | - |
dc.contributor.author | Kim, HT | - |
dc.date.accessioned | 2016-03-31T12:42:33Z | - |
dc.date.available | 2016-03-31T12:42:33Z | - |
dc.date.created | 2009-03-18 | - |
dc.date.issued | 2003-12 | - |
dc.identifier.issn | 1053-587X | - |
dc.identifier.other | 2003-OAK-0000003841 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/18231 | - |
dc.description.abstract | Time domain response-based neural networks and frequency domain response-based neural networks have been proposed for radar target recognition. In this study, we propose a natural frequency-based neural network for radar target recognition. Our scheme takes advantage of an aspect angle independence of a natural frequency. It is shown from experimental results that a natural frequency based-neural network using the first natural frequency pair is superior to a time domain response-based neural network in the case of a single aspect angle and that a natural frequency based-neural network using the first natural frequency pair or the first two natural frequency pairs is superior to a time domain response-based neural network in the case of a multiple aspect angle. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGI | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON SIGNAL PROCESSING | - |
dc.subject | exponentially damped sinusoids | - |
dc.subject | frequency domain response | - |
dc.subject | natural frequency | - |
dc.subject | neural networks | - |
dc.subject | parameter estimation | - |
dc.subject | radar target recognition | - |
dc.subject | time domain response | - |
dc.subject | EXPONENTIALLY DAMPED SINUSOIDS | - |
dc.subject | HIGHER-ORDER STATISTICS | - |
dc.subject | PARAMETER-ESTIMATION | - |
dc.subject | MATRIX PENCIL | - |
dc.subject | NOISE | - |
dc.title | Natural frequency-based neural network approach to radar target recognition | - |
dc.type | Article | - |
dc.contributor.college | 전자전기공학과 | - |
dc.identifier.doi | 10.1109/TSP.2003.818 | - |
dc.author.google | Lee, JH | - |
dc.author.google | Choi, IS | - |
dc.author.google | Kim, HT | - |
dc.relation.volume | 51 | - |
dc.relation.issue | 12 | - |
dc.relation.startpage | 3191 | - |
dc.relation.lastpage | 3197 | - |
dc.contributor.id | 10051137 | - |
dc.relation.journal | IEEE TRANSACTIONS ON SIGNAL PROCESSING | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.51, no.12, pp.3191 - 3197 | - |
dc.identifier.wosid | 000186687300020 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 3197 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 3191 | - |
dc.citation.title | IEEE TRANSACTIONS ON SIGNAL PROCESSING | - |
dc.citation.volume | 51 | - |
dc.contributor.affiliatedAuthor | Kim, HT | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 15 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | exponentially damped sinusoids | - |
dc.subject.keywordAuthor | frequency domain response | - |
dc.subject.keywordAuthor | natural frequency | - |
dc.subject.keywordAuthor | neural networks | - |
dc.subject.keywordAuthor | parameter estimation | - |
dc.subject.keywordAuthor | radar target recognition | - |
dc.subject.keywordAuthor | time domain response | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
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