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dc.contributor.authorPapi, Francesco
dc.contributor.authorKyovtorov, V.
dc.contributor.authorGiuliani, R.
dc.contributor.authorOliveri, F.
dc.contributor.authorTarchi, D.
dc.date.accessioned2017-01-30T12:27:26Z
dc.date.available2017-01-30T12:27:26Z
dc.date.created2015-10-29T04:09:49Z
dc.date.issued2014
dc.identifier.citationPapi, F. and Kyovtorov, V. and Giuliani, R. and Oliveri, F. and Tarchi, D. 2014. Bernoulli filter for track-before-detect using MIMO radar. IEEE Signal Processing Letters. 21 (9): pp. 1145-1149.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/21790
dc.identifier.doi10.1109/LSP.2014.2325566
dc.description.abstract

In this letter, we apply a Bernoulli Filter for moving target detection and tracking using real Multiple Input Multiple Output radar data in a challenging environment. The interest in MIMO radars has been growing since they can provide high performance at lower cost than conventional antenna arrays. The Bernoulli Filter performs tracking using the Track-Before-Detect approach, which is required to achieve satisfactory tracking performance in low signal-to-noise scenarios. The algorithm is validated with real MIMO data of a walking person.

dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.titleBernoulli filter for track-before-detect using MIMO radar
dc.typeJournal Article
dcterms.source.volume21
dcterms.source.number9
dcterms.source.startPage1145
dcterms.source.endPage1149
dcterms.source.issn1070-9908
dcterms.source.titleIEEE Signal Processing Letters
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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