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arXiv · 1604.00082

A track-before-detect labelled multi-Bernoulli particle filter with label switching

Ángel F. García-Fernández
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Abstract

This paper presents a multitarget tracking particle filter (PF) for general track-before-detect measurement models. The PF is presented in the random finite set framework and uses a labelled multi-Bernoulli approximation. We also present a label switching improvement algorithm based on Markov chain Monte Carlo that is expected to increase filter performance if targets get in close proximity for a sufficiently long time. The PF is tested in two challenging numerical examples.

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Ángel F. García-Fernández. 2016-03-31. A track-before-detect labelled multi-Bernoulli particle filter with label switching. https://doi.org/10.1109/taes.2016.150343

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