Passive Coherent Location (PCL) systems use existing commercial signals (e.g., FM broadcast, digital TV) as
the illuminators of opportunity in air defence systems. PCL Sytems have many advantages such as low cost,
covert operation and low vulnerability to electronic counter measures, over conventional radar systems. The main
disadvantage of PCL systems is that the transmitter locations and the transmitted signals cannot be controlled.
Thus, it is possible to have multiple transmitters that transmit the same signal/frequency inside the coverage
region of the receiver. Thus, multiple measurements that originated from different transmitters and reflected
by the same target will be received. Even though using multiple transmitters will facilitate better estimates
of the target states due to spatial diversity, one cannot use these measurements without resolving transmitter
and measurement origin uncertainties. This adds another level of complexity to the standard data association
problem where the uncertainty is only in measurement origins. That is, there are two uncertainties that need to
be resolved in order to track multiple targets. One is the measurement-to-target association and the other is the
measurement-to-transmitter association. In this work, a tracking algorithm is proposed to track multiple targets
using PCL systems with the above data association uncertainties. The efficiency of the proposed algorithm is
demonstrated on realistically simulated data.