An Empirical Study into the Use of Chernoff Information for Robust, Distributed Fusion of Gaussian Mixture Models
Simon Julier · 2006
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