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The aim of this paper is to evaluate performance of three radar system concepts that act as a sensor for ground based missile defence focused on defending an asset of critical importance. The signal model and processing scheme is presented and discussed. Appropriate multi-band fusion algorithms for collocated and dislocated sensors have been implemented and used to improve overall sensor efficiency. Obtained results illustrate possible benefits and limitations to system's performance. Implemented algorithms and created testbench will give chance to evaulate multi-band systems in more complicated scenarios.

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.

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.