Optimal joint probabilistic data association filter avoiding coalescence in close proximity

This paper deals with an estimation problem where a known number of objects in close proximity are observed but the measurement originations are uncertain. It is well known that joint probabilistic data association filters (JPDAF) are effective in handing uncertain measurement originations with clutter, but they are prone to estimation coalescence… CONTINUE READING