Recursive algorithms for information fusion using belief functions with applications to target identification
L. Hong · 2003
Recursive centralized and distributed algorithms for fusing temporal and spatial information are developed for joint and disjoint measurement data structures using the belief function approach. The algorithms have strong capability for handling information uncertainty. The effectiveness of the algorithms is demonstrated by a target identification problem.>