Promoted clustering method for the measurement–transmitter association in SFN based passive radar systems

Passive radar systems, which use existing commercial signals as the illuminators of opportunity, have many advantages comparing with active ones. However, there is no control over the transmitters, which will largely increase the processing complexity. Especially, in the single frequency network based passive radar systems, the ambiguity of measurement–transmitter association will hold back the later processing. It is necessary to develop a proper technique to associate each measurement to a given transmitter. In this study, a promoted clustering method for this association problem is presented. In this method, the position and the velocity of targets are estimated as the clustering condition. Then, the authors propose a judgement criterion to reduce the false associations. Finally, the presented method is verified by a number of simulations.