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Target Localization using Particle Filter With TDOA/FDOA Measurements

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dc.contributor.authorCho, Jeong-A-
dc.contributor.authorKim, Yikyung-
dc.contributor.authorAhn, Byeongjik-
dc.contributor.authorKim, Sunwoo-
dc.date.accessioned2022-07-16T20:05:18Z-
dc.date.available2022-07-16T20:05:18Z-
dc.date.created2021-05-13-
dc.date.issued2011-06-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168153-
dc.description.abstractTDOA and FDOA is the most effective method for Target localization and tracking. This paper proposes target localization and trackingtechniques using a particle filter that uses TDOA/FDOA measurements received directly from a distributed sensor. These techniques canestimate position of target and velocity of target. The simulation results show that, compared with extended Kalman filter, particle filter hasbetter performance in localization and tracking accuracy.-
dc.language영어-
dc.language.isoen-
dc.publisher한국통신학회-
dc.titleTarget Localization using Particle Filter With TDOA/FDOA Measurements-
dc.title.alternativeTDOA/FDOA를 이용한 파티클 필터 기반 이동 표적 추적 알고리듬-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sunwoo-
dc.identifier.bibliographicCitation한국통신학회 하계 종합학술발표회, no. , pp. 156 - 157-
dc.relation.isPartOf한국통신학회 하계 종합학술발표회-
dc.citation.title한국통신학회 하계 종합학술발표회-
dc.citation.startPage156-
dc.citation.endPage157-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE02181601-
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