Using Exponential Mixture Models for Suboptimal Distributed Data Fusion
Simon Julier, Tim Bailey, Jeffrey K. Uhlmann · 2006
In this paper we investigate the use of Exponential Mixture Densities (EMDs) as suboptimal update rules for distributed data fusion. We show that EMDs have a pointwise bound "from below" on the minimum value of the probability distribution. However, the distributions are not bounded from above and thus can be interpreted as a fusion operation.