Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 송택렬 | - |
dc.date.accessioned | 2020-11-27T06:28:35Z | - |
dc.date.available | 2020-11-27T06:28:35Z | - |
dc.date.issued | 2003-07 | - |
dc.identifier.citation | 전기학회논문지 D권, v. 52, no. 7, page. 410-417 | en_US |
dc.identifier.issn | 1229-6287 | - |
dc.identifier.uri | http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01261837 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/156018 | - |
dc.description.abstract | - In this paper, We propose a new target tracking filter which utilizes PDA-AI for data association in a clutter environment and also propose an analytic solution for ideal filter covariance which accounts for all the possible events in PDA-AI. Monte Carlo simulation for the proposed filter in a clutter environment indicates that the proposed analytic solution forms a tight lower bound for the error covariance of PDA-AI filter. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 대한전기학회 | en_US |
dc.subject | Target tracking | en_US |
dc.subject | PDA-AI | en_US |
dc.subject | Monte Carlo simulation | en_US |
dc.subject | Tight lower bound | en_US |
dc.subject | Analytic solution | en_US |
dc.title | 해석적 방법에 의한 PDA-AI 성능의 Tight Bound. | en_US |
dc.title.alternative | A Tight Bound for PDA-Al Performance | en_US |
dc.type | Article | en_US |
dc.relation.journal | 전기학회논문지(A,B,C,D) | - |
dc.contributor.googleauthor | 김국민 | - |
dc.contributor.googleauthor | 송택렬 | - |
dc.contributor.googleauthor | 안조영 | - |
dc.relation.code | 2012101073 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DIVISION OF ELECTRICAL ENGINEERING | - |
dc.identifier.pid | tsong | - |
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