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Evaluation of the PMHT approach for passive radar tracking with unknown transmitter associations

Passive multistatic radar exploits illuminators of opportunity such as radio or TV stations for tracking airborne targets. In this work, we focus on passive multistatic radars where two types of data association uncertainty arise simultaneously, i.e., an unknown measurement-target association and an unknown measurement-illuminator association. We consider the recently developed probabilistic multi-hypothesis tracker (PMHT) approach that works directly in Cartesian space and allows for an efficient treatment of the large number of association hypotheses. The main contribution of this work is the application of the PMHT approach to the FKIE Passive Radar Data Set.