Tracking algorithm in the multiband PCL-PET fusion system

In this article we discuss certain aspects of the algorithm for data processing in the PCL - PET passive radar system. We discuss the part of the fusion algorithm which is used for object tracking and estimate improvement. We also propose a method for bistatic measurements classification using the predicted object position and covariance matrices. Proposed algorithm is also suitable for asynchronous and random flow of input measurements. Presented algorithms, which are a work-inprogress, are being implemented and will be subject to further experiments and development on a PCL-PET system prototype.