Paper
The Probability Generating Functional for Finite Point Processes, and Its Application to the Comparison of PHD and Intensity Filters
Publication
Volume Number:
8
Issue Number:
2
Pages:
Starting page
119
Ending page
132
Publication Date:
Publication Date
December 2013
paper Menu
Abstract
Probability generating functionals (PGFLs) for finite point processes are used to derive the probability hypothesis density (PHD) filter and intensity filter (iFilter) for multitarget tracking. Presenting them in a common PGFL framework makes manifest their similarities and differences. A significant difference is their measurement model–the PHD filter uses an exogenous clutter model and the iFilter uses an endogenous scattering model.
