This paper discusses a testbed for data fusion in the context of maritime surveillance. The testbed fuses non-real-time and near-real-time data from three different sensors, High Frequency Surface Wave Radar, Surveillance Aircraft, and ELINT data. The testbed correlator uses a Fuzzy Logic base clustering technique to associate ELINT data. For all data, the fusion process is performed at contact level and track level and resulting tracks are modeled with a genetic algorithm. The testbed interface allows the user to perform, among others, data files browsing, data contact edition and data visualisation on an interactive map. Current work on the implementation of level 2 fusion for situation awareness is also discussed. This testbed has been developed to test new techniques in the field of data fusion for maritime surveillance.
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