Intelligent PDAF: refinement of IPDAF for tracking in clutter
X.R. Li, Ning Li · 2002
An intelligent probabilistic data association filter (IPDAF) is presented as a refinement of the original IPDAF developed by D. Musicki et al. (1994). The refinement includes the incorporation of measurement feature information, a better estimator of clutter density, and an important correction of a mistake in the original PDAF and IPDAF. Simulation results demonstrate the substantial superiority of the proposed IPDAF to the original one.