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Article Dans Une Revue IEEE Transactions on Aerospace and Electronic Systems Année : 2019

Fusion of finite set distributions: pointwise consistency and global cardinality

Résumé

A recent trend in distributed multi-sensor fusion is to use random finite set filters at the sensor nodes and fuse the filtered distributions algorithmically using their exponential mixture densities (EMDs). Fusion algorithms that extend covariance intersection and consensus based approaches are such examples. In this article, we analyse the variational principle underlying EMDs and show that the EMDs of finite set distributions do not necessarily lead to consistent fusion of cardinality distributions. Indeed, we demonstrate that these inconsistencies may occur with overwhelming probability in practice, through examples with Bernoulli, Poisson and independent identically distributed (IID) cluster processes. We prove that pointwise consistency of EMDs does not imply consistency in global cardinality and vice versa.Then, we redefine the variational problems underlying fusion and provide iterative solutions thereby establishing a framework that guarantees cardinality consistent fusion

Dates et versions

hal-02022586 , version 1 (18-02-2019)

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Murat Uney, Jérémie Houssineau, Emmanuel Delande, Simon J. Julier, Daniel Clark. Fusion of finite set distributions: pointwise consistency and global cardinality. IEEE Transactions on Aerospace and Electronic Systems, 2019, 55 (6), pp.2759 - 2773. ⟨10.1109/TAES.2019.2893083⟩. ⟨hal-02022586⟩
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