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dc.contributor.authorVo, Ba-Ngu
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorMahler, R.
dc.date.accessioned2017-01-30T14:58:07Z
dc.date.available2017-01-30T14:58:07Z
dc.date.created2015-03-03T20:17:10Z
dc.date.issued2012
dc.identifier.citationVo, B. and Vo, B.T. and Mahler, R. 2012. Closed form solutions to forward-backward smoothing. IEEE Transactions on Signal Processing. 60 (1): pp. 2-17.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/42215
dc.identifier.doi10.1109/TSP.2011.2168519
dc.description.abstract

We propose a closed-form Gaussian sum smoother and, more importantly, closed-form smoothing solutions for increasingly complex problems arising from practice, including tracking in clutter, joint detection and tracking (in clutter), and multiple target tracking (in clutter) via the probability hypothesis density. The solutions are based on the corresponding forward-backward smoothing recursions that involve forward propagation of the filtering densities, followed by backward propagation of the smoothed densities. The key to the exact solutions is the use of alternative forms of the backward propagations, together with standard Gaussian identities. Simulations are also presented to verify the proposed solutions.

dc.publisherInstitute of Electrical and Electronics Engineers
dc.titleClosed form solutions to forward-backward smoothing
dc.typeJournal Article
dcterms.source.volume60
dcterms.source.number1
dcterms.source.startPage2
dcterms.source.endPage17
dcterms.source.issn1053-587X
dcterms.source.titleIEEE Transactions on Signal Processing
curtin.accessStatusFulltext not available


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