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arXiv · 1908.08819

Gaussian implementation of the multi-Bernoulli mixture filter

Ángel F. García-Fernández·Yuxuan Xia·Karl Granström·Lennart Svensson·Jason L. Williams
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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.

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Ángel F. García-Fernández, Yuxuan Xia, Karl Granström, Lennart Svensson, Jason L. Williams. 2019-08-23. Gaussian implementation of the multi-Bernoulli mixture filter. https://arxiv.org/abs/1908.08819

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