The Multistatic Tracking Working Group (MSTWG) was formed in 2005 as an international team of experts focused on the unique challenges in the burgeoning field of multistatic tracking. This paper presents results from three common simulated data sets provided by MSTWG members. A Bayesian tracking method is described which represents the posterior probability distribution as an ensemble of sample points. The advantages of this approach are evaluated in light of standard metrics of performance, as measured on the three aforementioned data sets.