Random finite sets (RFSs) are natural representations of multitarget states and observations that allow multisensor multitarget filtering to fit in the unifying random set framework for data fusion.â€¦ (More)

2005 7th International Conference on Informationâ€¦

2005

The problem of dynamically estimating a time-varying set of targets can be cast as a filtering problem using the random finite set (or point process) framework. The probability hypothesis densityâ€¦ (More)

The probability hypothesis density (PHD) recursion propagates the posterior intensity of the random finite set of targets in time. The cardinalized PHD (CPHD) recursion is a generalization of the PHDâ€¦ (More)

We analyse the exponential stability properties of a class of measure-valued equations arising in nonlinear multi-target filtering problems. We also prove the uniform convergence properties w.r.t.â€¦ (More)