Two-stage tracking algorithm for passive radar

Passive Coherent Location (PCL) radar measures the bistatic parameters of a target: the time difference of arrival and the Doppler shift. In order to localize a target in the Cartesian coordinates, the data from multiple transmitter-receiver pairs can be used. This task is, however, challenging due to the ambiguities in the measurements assignment. In the paper, a tracking algorithm is presented, which decomposes the complicated task of target localization into two stages: tracking in the bistatic domain and tracking in the Cartesian domain. The bistatic tracker is used only for plot-to-plot association. The Cartesian tracker, based on the extended Kalman filter, uses the raw plots associated by the bistatic tracker to calculate the Cartesian parameters of the target.