The DIMM algorithm is reweighted by diagonal matrices based on a multisensor optimal information fusion rule in the linear minimum variance sense instead of Bayes' rule.
The algorithm can avoid the hybrid computation of likelihood function and probability mass and distinguish the effects produced by different dimensions of state.