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Gaussian implementa...
Gaussian implementation of the multi-Bernoulli mixture filter
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- Garcaa-Fernandez, Angel F. (author)
- University of Liverpool
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- Xia, Yuxuan, 1993 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Granström, Karl, 1981 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Svensson, Lennart, 1976 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Williams, Jason L. (author)
- Commonwealth Scientific and Industrial Research Organisation (CSIRO)
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(creator_code:org_t)
- 2019
- 2019
- English.
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In: FUSION 2019 - 22nd International Conference on Information Fusion.
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Abstract
Subject headings
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- This paper presents the Gaussian implementation of the multi-Bernoulli mixture (MBM) filter. The MBM filter provides the filtering (multi-target) density for the standard dynamic and radar measurement models when the birth model is multi-Bernoulli or multi-Bernoulli mixture. Under linear/Gaussian models, the single target densities of the MBM mixture admit Gaussian closed-form expressions. Murty's algorithm is used to select the global hypotheses with highest weights. The MBM filter is compared with other algorithms in the literature via numerical simulations.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- multi-target conjugate priors
- Poisson multi-Bernoulli mixtures
- Multiple target tracking
Publication and Content Type
- kon (subject category)
- ref (subject category)
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