Julier, SJ; (2006) An empirical study into the use of Chernoff information for robust, distributed fusion of Gaussian mixture models. In: 2006 9th International Conference on Information Fusion, FUSION.
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This paper considers the problem of developing algorithms for the distributed fusion of Gaussian Mixture Models through the use of Chernoff information. We derive a first order approximation and show that, in a distributed tracking problem in which sensor nodes are equipped with only range-only or bearing-only sensors, it yields consistent estimates.
|Title:||An empirical study into the use of Chernoff information for robust, distributed fusion of Gaussian mixture models|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
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