Position estimation 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 initial part of the fusion algorithm the main function of which is to provide the number of objects, their position estimations and the covariance matrix of these estimates. The measurement data model and processing scheme is presented and discussed. Presented fusion algorithms for dislocated sensors have been implemented and tested. Obtained results illustrate performance of overcoming difficulties arising in typical multi-static systems - ghost objects elimination and accurate position estimation. Presented algorithms are a work in progress and are being implemented and will be subject to further experiments and development on a PCL-PET system prototype.