Gaussian implementation of the multi-Bernoulli mixture filter



García-Fernández, Ángel F, Xia, Yuxuan, Granström, Karl, Svensson, Lennart and Williams, Jason L
(2019) Gaussian implementation of the multi-Bernoulli mixture filter. .

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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)
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: 28 Sep 2021 13:13
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3045515