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Kalman filter and ARMA filter as approach to multiple sensor data fusion problem

The Air Traffic Control (ATC) systems are critical due the amount of information that they have to process in real time. These systems combined different kind of information, like primary and secondary radar information and flight planning information. Depending the extent of a country different RADAR are installed trying to cover most of the country area. This could become a problem, because different RADAR can detect and locate the same object at different position on the map, this is a multiple sensor data fusion problem. In this paper we present a technique that combines conventional Kalman filter techniques with an ARMA filter to provide a solution to the problem. Multiple objects tracking examples are presented.