García-Fernández, Ángel F, Xia, Yuxuan, Granström, Karl, Svensson, Lennart and Williams, Jason L
(2019)
Gaussian implementation of the multi-Bernoulli mixture filter.
In: 22nd International Conference on Information Fusion, 2019-7-2 - 2019-7-5, Ottawa.
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Abstract
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.
Item Type: | Conference or Workshop Item (Unspecified) |
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Additional Information: | Matlab code of the MBM and PMBM filters is provided in https://github.com/Agarciafernandez/MTT . Additional information on MTT including PMBM and MBM filters can be found in the online course https://www.youtube.com/channel/UCa2-fpj6AV8T6JK1uTRuFpw |
Uncontrolled Keywords: | eess.SP, eess.SP, cs.CV, stat.AP |
Depositing User: | Symplectic Admin |
Date Deposited: | 12 Jun 2019 08:59 |
Last Modified: | 19 Jan 2023 00:40 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3045515 |