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dc.contributor.authorLiu, CMen_US
dc.contributor.authorWu, KGen_US
dc.date.accessioned2019-04-02T06:00:01Z-
dc.date.available2019-04-02T06:00:01Z-
dc.date.issued1997-04-10en_US
dc.identifier.issn0013-5194en_US
dc.identifier.urihttp://dx.doi.org/10.1049/el:19970478en_US
dc.identifier.urihttp://hdl.handle.net/11536/149505-
dc.description.abstractThe Moose's adaptive state estimator has proved successful in tracking a manoeuvring submarine [1]. However, its application to track highly manoeuvring aircraft will encounter problems in complexity and tracking accuracy [2, 3]. The authors present a new algorithm that extends the Moose estimator to solve its problems. The new algorithm is verified through Monte-Carlo simulation and shows a better performance than the original Moose algorithm.en_US
dc.language.isoen_USen_US
dc.subjecttarget trackingen_US
dc.subjectKalman filtersen_US
dc.titleModified moose estimator for tracking highly manoeuvring targetsen_US
dc.typeArticleen_US
dc.identifier.doi10.1049/el:19970478en_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.citation.volume33en_US
dc.citation.spage672en_US
dc.citation.epage674en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1997WW46800020en_US
dc.citation.woscount0en_US
Appears in Collections:Articles