paper

The Probability Generating Functional for Finite Point Processes, and Its Application to the Comparison of PHD and Intensity Filters

Volume Number:
8
Issue Number:
2
Pages:
119
–
132
Publication Date:
1 December 2013
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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.