Why should we use particle filtering in FM band passive radars?

This paper shows that innovative tracking algorithms improve the state estimation performance of a passive covert radar (PCR) exploiting a single non co-operative frequency modulated (FM) commercial radio station as its transmitter of opportunity. In particular, since target tracks in the Cartesian domain are obtained via particle filtering (PF), this paper aims at assessing its performance with respect to conventional tracking techniques such as EKF (Extended Kalman Filter) and at showing the improvement it yields.