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dc.contributor.authorMahler, Ronald
dc.identifier.citationMahler, R. 2014. Multitarget detection and tracking in dynamic quadratic clutter, pp. 1-6.

© 2014 IEEE. In previous publications the author introduced CPHD filters designed to detect and track multiple targets in unknown, dynamically changing clutter backgrounds. The first such filters employed Poisson clutter generators and resulted in combinatorially complex algorithms. Subsequent CPHD filters achieved computational tractability by replacing Poisson clutter generators with Bernoulli clutter generators. Because they are statistically first-degree, Bernoulli generators are insufficiently complex to model real-world clutter with high accuracy. This paper describes CPHD filters based on second-degree quadratic clutter generators. CPHD filters based on quadratic generators are combinatorially second-order and therefore more amenable to approximation than those based on Poisson clutter generators. They can also be implemented in exact closed form using beta-Gaussian mixture (BGM) or Dirichlet-Gaussian mixture (DGM) techniques.

dc.titleMultitarget detection and tracking in dynamic quadratic clutter
dc.typeConference Paper
dcterms.source.title2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
dcterms.source.series2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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