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A Technique for Sensors Fusion with Limited Number of Common Measures
An algorithm is proposed here that overcomes the problem of the not exhaustive number of common measures from sensors of different kind. In the presence of a suite of heterogeneous sensors, the data fusion process has to deal with the problem of managing different information, generally not directly comparable. The analysis of the mathematical model is carried out considering a data fusion system between radar and Infrared Search and Track (IRST) where the measurement of the range is achieved by radar only. Simulation results demonstrate the effectiveness of the algorithm as regards the fusion process, tracking and correctness of association among tracks from different sensors. A comparison with a known approach from the literature is also performed.
Quaranta Carlo, Balzarotti Giorgio
Paper for Seminar/Symposium/Conference
SPIE Defense and Security 2015 - International Conference on Signal Processing, Sensor/Information Fusion, and Target Recognition (20-24 April 2015, Baltimore, MA, USA)
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