An Improved Measurement-Oriented Marginal Multi-Bernoulli/Poisson Filter

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dc.contributor.authorSu, Zhen-zhen
dc.contributor.authorJi, Hong-bing
dc.contributor.authorZhang, Yong-quan
dc.coverage.issue1cs
dc.coverage.volume28cs
dc.date.accessioned2020-04-23T06:56:45Z
dc.date.available2020-04-23T06:56:45Z
dc.date.issued2019-04cs
dc.description.abstractThe measurement-oriented marginal multi-Ber-noulli/Poisson (MOMB/P) filter is an attractive approach for multi-target tracking. However, the effect of measure¬ment on predicted target states may be weakened when the hypothesized tracks are separated, even if the measurement is close to the predicted target state. This is due to the inaccuracy of the missed detection hypothesis probabilities in the marginal association probabilities. To solve this problem, an improved MOMB/P (IMOMB/P) filter is pro¬posed in this paper, by considering the measurement infor¬mation in the missed detection hypotheses. Simulation results reveal a favorable comparison to the MOMB/P filter in terms of the Optimal Subpattern assignment (OSPA) distance and cardinality estimation.en
dc.formattextcs
dc.format.extent191-198cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2019 vol. 28, č. 1, s. 191-198. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2019.0191en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/186846
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2019/19_01_0191_0198.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectMulti-target trackingen
dc.subjectrandom finite seten
dc.subjectMOMB/P filteren
dc.subjectmissed detection hypothesisen
dc.titleAn Improved Measurement-Oriented Marginal Multi-Bernoulli/Poisson Filteren
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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