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dc.contributor.authorWU, WRen_US
dc.contributor.authorCHENG, PPen_US
dc.date.accessioned2014-12-08T15:03:54Z-
dc.date.available2014-12-08T15:03:54Z-
dc.date.issued1994-07-01en_US
dc.identifier.issn0018-9251en_US
dc.identifier.urihttp://dx.doi.org/10.1109/7.303756en_US
dc.identifier.urihttp://hdl.handle.net/11536/2421-
dc.description.abstractIn target tracking, the measurement noise is usually assumed to be Gaussian. However, the Gaussian modeling of the noise may not be true. Noise can be non-Gaussian. The non-Gaussian noise arising in a radar system is known as glint noise. The distribution of glint noise is long tailed and will seriously affect the tracking performance. We develop a new algorithm that can effectively track a maneuvering target in the glint environment. The algorithm incorporates the nonlinear Masreliez filter into the interactive multiple model (IMM) method. Simulations demonstrate the superiority of the new algorithm.en_US
dc.language.isoen_USen_US
dc.titleA NONLINEAR IMM ALGORITHM FOR MANEUVERING TARGET TRACKINGen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/7.303756en_US
dc.identifier.journalIEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMSen_US
dc.citation.volume30en_US
dc.citation.issue3en_US
dc.citation.spage875en_US
dc.citation.epage886en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:A1994NV88700021-
dc.citation.woscount18-
Appears in Collections:Articles


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