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Box-particle probability hypothesis density filtering

contributor authorSchikora, M.
contributor authorGning, A.
contributor authorMihaylova, L.
contributor authorCremers, D.
contributor authorKoch, W.
date accessioned2020-03-13T00:30:08Z
date available2020-03-13T00:30:08Z
date issued2014
identifier issn0018-9251
identifier other6965728.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1149111?show=full
formatgeneral
languageEnglish
publisherIEEE
titleBox-particle probability hypothesis density filtering
typeJournal Paper
contenttypeMetadata Only
identifier padid8332351
subject keywordsMonte Carlo methods
subject keywordsparticle filtering (numerical methods)
subject keywordsprobability
subject keywordssensor fusion
subject keywordsset theory
subject keywordstarget tracking
subject keywordsbox particle probability hypothesis density filtering
subject keywordsdata association uncertainty
subject keywordsdistributed inference
subject keywordsmultitarget tracking
subject keywordssequential Monte Carlo
subject keywordsset theoretic uncertainty
subject keywordsstochastic uncertainty
subject keywordsApproximation methods
subject keywordsAtmospheric measurements
subject keywordsNoise measurement
subject keywordsParticle measurements
subject keywordsTarget tracking
subject keywordsUncertainty
identifier doi10.1109/TAES.2014.120238
journal titleAerospace and Electronic Systems, IEEE Transactions on
journal volume50
journal issue3
filesize1597660
citations0


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