Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case. (arXiv:2205.04806v1 [stat.CO])

Web: http://arxiv.org/abs/2205.04806

In target tracking and sensor fusion contexts it is not unusual to deal with
a large number of Gaussian densities that encode the available information
(multiple hypotheses), as in applications where many sensors, affected by
clutter or multimodal noise, take measurements on the same scene. In such cases
reduction procedures must be implemented, with the purpose of limiting the
computational load. In some situations it is required to fuse all available
information into a single hypothesis, and this is usually …

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